Interval-Valued Neutrosophic Graph...

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Punjab University Journal of Mathematics (ISSN 1016-2526) Vol. 50(1)(2018) pp. 113-137 Interval-Valued Neutrosophic Graph Structures Muhammad Akram Department of Mathematics, University of the Punjab, New Campus, Lahore, Pakistan. Email: [email protected] Muzzamal Sitara Department of Mathematics, University of the Punjab, New Campus, Lahore, Pakistan. Email: [email protected] Received: 16 May, 2017 / Accepted: 11 October, 2017 / Published online: 16 November, 2017 Abstract. In this research article, we introduce certain notions of interval-valued neutrosophic graph structures. We elaborate the concepts of interval-valued neutrosophic graph structures with examples. Moreover, we discuss the concept of ϕ-complement of an interval-valued neutrosophic graph structure. Finally, we present some related properties, including ϕ-complement, totally- self complementary and totally-strong-self complementary, of interval- valued neutrosophic graph structures. AMS (MOS) Subject Classification Codes: 35S29, 40S70, 25U09 Key Words: Graph structure, Interval-valued neutrosophic graph structure, ϕ- complement. 1. I NTRODUCTION Zadeh [33] introduced interval-valued fuzzy set theory which is an extension of fuzzy set theory [32]. Membership degrees in an interval-valued fuzzy set are intervals rather than numbers and uncertainty is reflected by length of interval membership degree. Zhan et al. [35, 36] applied the concept of interval-valued fuzzy sets to algebraic structures. For representing vagueness and uncertainty Atanassov [10] proposed an extension of fuzzy sets by adding a new component, called intuitionistic fuzzy sets. The concept of intuitionistic fuzzy sets is more meaningful and inventive due to the presence of degree of truth, indeterminacy 113

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Punjab UniversityJournal of Mathematics (ISSN 1016-2526)Vol. 50(1)(2018) pp. 113-137

Interval-Valued Neutrosophic Graph Structures

Muhammad AkramDepartment of Mathematics,

University of the Punjab,New Campus, Lahore, Pakistan.Email: [email protected]

Muzzamal SitaraDepartment of Mathematics,

University of the Punjab,New Campus, Lahore, Pakistan.

Email: [email protected]

Received: 16 May, 2017 / Accepted: 11 October, 2017 / Published online: 16November, 2017

Abstract. In this research article, we introduce certain notions ofinterval-valued neutrosophic graph structures. We elaborate theconcepts of interval-valued neutrosophic graph structures withexamples. Moreover, we discuss the concept ofϕ-complementof an interval-valued neutrosophic graph structure. Finally, wepresent some related properties, includingϕ-complement, totally-self complementary and totally-strong-self complementary, of interval-valued neutrosophic graph structures.

AMS (MOS) Subject Classification Codes: 35S29, 40S70, 25U09Key Words: Graph structure, Interval-valued neutrosophic graph structure,ϕ-

complement.

1. INTRODUCTION

Zadeh [33] introduced interval-valued fuzzy set theory which is an extension offuzzy set theory [32]. Membership degrees in an interval-valued fuzzy set areintervals rather than numbers and uncertainty is reflected by length of intervalmembership degree. Zhan et al. [35, 36] applied the concept of interval-valuedfuzzy sets to algebraic structures. For representing vagueness and uncertaintyAtanassov [10] proposed an extension of fuzzy sets by addinga new component,called intuitionistic fuzzy sets. The concept of intuitionistic fuzzy sets is moremeaningful and inventive due to the presence of degree of truth, indeterminacy

113

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114 M. Akram and M. Sitara

and falsity membership. The intuitionistic fuzzy sets havemore describing possi-bilities as compared to fuzzy sets. The hesitation margin ofan intuitionistic fuzzyset is its uncertainty by default and sum of truth-membership degree and falsity-membership degree does not exceeds unity. In many phenomenons like informa-tion fusion, uncertainty and indeterminacy is doubtlesslyquantified. Smarandache[24, 25] proposed the idea of neutrosophic sets, he mingled tricomponent logic,non-standard analysis, and philosophy. “It is a branch of philosophy which studiesthe origin, nature and scope of neutralities as well as theirinteractions with differ-ent ideational spectra”. For convenient and advantageous usage of neutrosophicsets in science and engineering, Wang et al. [29] proposed the notion of single-valued neutrosophic(SVNS)sets, whose three independent components have val-ues in standard unit interval[0, 1]. Neutrosophic set theory being a generalizationof fuzzy set theory and intuitionistic fuzzy set theory, is more practical, advanta-geous and applicable in various fields, including medical diagnosis, control theory,topology, decision-making problems and in many more real-life problems. Wanget al. [30] proposed the notion of interval-valued neutrosophic sets, which is moreprecise and flexible than the single-valued neutrosophic sets. An interval-valuedneutrosophic set is a generalization of the notion of single-valued neutrosophicset, in which three independent components(t, i, f) are intervals which are sub-sets of standard unit interval[0, 1].On the basis of Zadeh’s fuzzy relations [35] Kaufmann proposed fuzzy graph[18]. Rosenfeld [22] discussed fuzzy analogue of various graph-theoretic ideas.Later on, Bhattacharya [11] gave some remarks on fuzzy graphs, and some op-erations on fuzzy graphs were introduced by Mordeson and Peng [19]. Morde-son and Nair presented a valuable contribution on fuzzy graphs as well as fuzzyhypergraphs in [20]. Mathew and Sunitha [26, 27] discussed arcs and strong cy-cles in fuzzy graphs. On the other hand, Dinesh and Ramakrishnan [14] definedfuzzy graph structures and discussed its properties. Akramand Akmal [7] pro-posed the notion of bipolar fuzzy graph structures. Akram etal. [1, 2, 3, 4] haveintroduced several concepts on interval-valued fuzzy graphs and interval-valuedneutrosophic graphs. Akram and Shahzadi [8] introduced thenotion of neutro-sophic soft graphs with applications. Recently, Akram and Nasir [5, 6] consideredinterval-valued neutrosophic graphs. In this research article, we introduce certainnotions of interval-valued neutrosophic graph structures. We elaborate the con-cepts of interval-valued neutrosophic graph structures with examples. Moreover,we discuss the concept ofϕ-complement of an interval-valued neutrosophic graphstructure.

2. INTERVAL-VALUED NEUTROSOPHICGRAPH STRUCTURES

Sampathkumar [23] introduced the graph structure which is ageneralization ofundirected graph and is quite useful in studying some structures, including, graphs,signed graphs, labelled graphs and edge colored graphs.

Definition 2.1. [23] A graph structureG = (U,R1, . . . , Rt) consists of a non-empty setU together with relationsR1, R2, . . . , Rt onU which are mutually dis-joint such that eachRj , 1 ≤ j ≤ t, is symmetric and irreflexive.

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Interval-Valued Neutrosophic Graph Structures 115

One can represent a graph structureG = (U,R1, . . . , Rt) in the plane just like agraph where each edge is labelled asRj , 1 ≤ j ≤ t.

Example 2.2. Let U = {r1, r2, r3, r4, r5}. LetR1 = {(r1, r2), (r3, r4), (r1, r4)},R2 = {(r1, r3), (r1, r5)},R3 = {(r2, r3), (r4, r5)} be mutually disjoint, symmetricand irreflexive relations on setU . ThusG = (U,R1, R2, R3) is a graph structureand is represented in plane as a graph where each edge is labelled asR1, R2 orR3.

b

b b

b b

r1

r5

r4r3

r2

R1

R2

R3

R1

R3

R2

R1

FIGURE 1. Graph structureG = (U,R1, R2, R3)

Definition 2.3. [30, 31] Theinterval-valued neutrosophic setI on setU is definedby

I = {(r, [t−(r), t+(r)], [i−(r), i+(r)], [f−(r), f+(r)]) : r ∈ U},

where,t−, t+, i−, i+, f−, andf+ are functions fromU to [0, 1] such that:t−(r) ≤ t+(r), i−(r) ≤ i+(r) andf−(r) ≤ f+(r) for all r ∈ U .

Definition 2.4. Giv = (I, I1, I2, . . . , It) is called aninterval-valued neutrosophicgraph structure(IVNGS)of graph structureG = (U,R1, R2, . . . , Rt) ifI = {(r, [t−(r), t+(r)], [i−(r), i+(r)], [f−(r), f+(r)]) : r ∈ U}andIj = { ((r, s), [t−j (r, s), t

+j (r, s)], [i

−j (r, s), i

+j (r, s)], [f

−j (r, s), f+

j (r, s)]) : (r, s) ∈Rj } are interval-valued neutrosophic(IVN) sets onU andRj , respectively, suchthat:

(1) t−j (r, s) ≤ min{t−(r), t−(s)}, t+j (r, s) ≤ min{t+(r), t+(s)},(2) i−j (r, s) ≤ min{i−(r), i−(s)}, i+j (r, s) ≤ min{i+(r), i+(s)},(3) f−

j (r, s) ≤ min{f−(r), f−(s)}, f+j (r, s) ≤ min{f+(r), f+(s)},

where,t−j , t+j , i−j , i+j , f−j , andf+

j are functions fromRj to [0, 1] such thatt−j (r, s) ≤ t+j (r, s), i

−j (r, s) ≤ i+j (r, s) andf−

j (r, s) ≤ f+j (r, s) for all (r, s) ∈

Rj .In this paper we will users in place of ordered pair(r, s) which represents anedge between verticesr ands.

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116 M. Akram and M. Sitara

b

b

bb

I1([0.2,0.3

], [0.5

, 0.6], [0.3,0.4

])

r 4([0.3,0.4], [0.4,0.5], [0.3,0.4])

r3([0.3, 0.4], [0.6, 0.7], [0.3, 0.4])

r2([0.2, 0.3], [0.4, 0.5], [0.3, 0.4])

r1 ([0.2, 0.3], [0.5, 0.6], [0.4, 0.5])

I2([0.2, 0.3], [0.4, 0.5], [0.3, 0.4])

I 1([0.3,0.4], [0.4,0.5], [0.2,0.3])

I 2([0.2,0.3],[0.4,0.5],[0.2,0.3])

I1 ([0.2, 0.3], [0.4, 0.5], [0.3, 0.4])

FIGURE 2. Interval-valued neutrosophic graph structure

Example 2.5. Consider the graph structureG = (U,R1, R2) such thatU ={r1, r2, r3, r4},R1 = {r1r3, r1r2, r3r4},R2 = {r1r4, r2r3}. By defining interval-valued neutrosophic setsI, I1 andI2 onU , R1 andR2, respectively, we draw anIVNGS as shown in Fig. 2.

Definition 2.6. Let Giv = (I, I1, I2, . . . , It) be an IVNGS of graph structure(GS)G = (U,R1, R2, . . . , Rt). If Hiv = (I ′, I ′1, I

′2, . . . , I

′t) is an IVNGS ofG such that

t′−(r) ≤ t−(r), i′−(r) ≤ i−(r), f ′−(r) ≤ f−(r),t′+(r) ≤ t+(r), i′+(r) ≤ i+(r), f ′+(r) ≤ f+(r) ,

t′−j (rs) ≤ t−j (rs), i′−j (rs) ≤ i−j (rs), f

′−j (rs) ≤ f−

j (rs),

t′+j (rs) ≤ t+j (rs), i′+j (rs) ≤ i+j (rs), f

′+j (rs) ≤ f+

j (rs),for all r ∈ U andrs ∈ Rj , j = 1, 2, . . . , t.

ThenHiv is called aninterval-valued neutrosophic(IVN) subgraph-structureofIVNGS Giv.

Example 2.7. Consider an IVNGSHiv = (I ′, I ′1, I′2) of graph structureG =

(U,R1, R2) as illustrated in Fig. 3. Through direct calculations, it isshown thatHiv is an IVN subgraph-structure of IVNGSGiv shown in Fig. 2.

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Interval-Valued Neutrosophic Graph Structures 117

b

bb

I′1([0.2,0.3

], [0.5

, 0.6], [0.3,0.4

])

r3([0.3, 0.4], [0.6, 0.7], [0.3, 0.4])

r2([0.2, 0.3], [0.4, 0.5], [0.3, 0.4])

r 1([0.2,0.3],[0.5,0.6],[0.4,0.5])

I′ 2([0.2,0.3],[0.4,0.5],[0.2,0.3])

I ′1 ([0.2, 0.3], [0.4, 0.5], [0.3, 0.4])

FIGURE 4. IVN induced subgraph-structure

b

b

bb

I′1([0.1,0.2

], [0.4

, 0.5], [0.2,0.3

])

r 4([0.2,0.3], [0.3,0.4], [0.2,0.3])

r3([0.2, 0.3], [0.5, 0.6], [0.2, 0.3])

r2([0.1, 0.2], [0.3, 0.4], [0.2, 0.3])

r1 ([0.1, 0.2], [0.4, 0.5], [0.3, 0.4])

I ′2([0.1, 0.2], [0.3, 0.4], [0.2, 0.3])

I′ 1([0.2,0.3], [0.3,0.4], [0.1,0.2])

I′ 2([0.1,0.2],[0.3,0.4],[0.1,0.2])

I ′1 ([0.1, 0.2], [0.3, 0.4], [0.2, 0.3])

FIGURE 3. Interval-valued neutrosophic subgraph-structure

Definition 2.8. An IVNGS Hiv = (I ′, I ′1, I′2, . . . , I

′t) is called anIVN induced

subgraph-structureof IVNGS Giv byQ ⊆ U if

t′−(r) = t−(r), i′−(r) = i−(r), f ′−(r) = f−(r),t′+(r) = t+(r), i′+(r) = i+(r), f ′+(r) = f+(r),

t′−j (rs) = t−j (rs), i′−j (rs) = i−j (rs), f

′−j (rs) = f−

j (rs), t′+j (rs) = t+j (rs),i′+j (rs) = i+j (rs), f

′+j (rs) = f+

j (rs), for all r, s ∈ Q, j = 1, 2, . . . , t.

Example 2.9. An IVNGS Hiv = (I ′, I ′1, I′2) of graph structureG = (U,R1, R2)

shown in Fig. 4 is an IVN induced subgraph-structure of IVNGSGiv = (I, I1, I2)represented in Fig. 2.

Definition 2.10. An IVNGS Hiv = (I ′, I ′1, I′2, . . . , I

′t) is called IVN spanning

subgraph-structureof IVNGS Giv = (I, I1, I2, . . . , It) if I ′ = I and

t′−j (rs) ≤ t−j (rs), i′−j (rs) ≤ i−j (rs), f

′−j (rs) ≤ f−

j (rs),

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118 M. Akram and M. Sitara

b

bb

b

I′ 1([0.1,0.2],[0.4,0.5],[0.2,0.3])

r4 ([0.3, 0.4], [0.4, 0.5], [0.3, 0.4])

r 3([0.3,0.4], [0.6,0.7], [0.3,0.4])

r 2([0.2,0.3], [0.4,0.5], [0.3,0.4])

r 1([0.2, 0.3],[0.5, 0.6],[0.4, 0.5])

I′

2([0.1,0.2], [0.3,0.4], [0.2,0.3])

I ′1 ([0.2, 0.3], [0.3, 0.4], [0.1, 0.2])

I ′2 ([0.1, 0.2], [0.3, 0.4], [0.1, 0.2])

I′1([0

.1,0.2

], [0.3,

0.4], [0

.2,0.3

])

FIGURE 5. IVN spanning subgraph-structure

t′+j (rs) ≤ t+j (rs), i′+j (rs) ≤ i+j (rs), f

′+j (rs) ≤ f+

j (rs), j = 1, 2, . . . , t.

Example 2.11.An IVNGS Hiv = (I ′, I ′1, I′2) shown in Fig. 5 is an IVN spanning

subgraph-structure of IVNGSGiv = (I, I1, I2) represented in Fig. 2.

Definition 2.12. Let Giv = (I, I1, I2, . . . , It) be an IVNGS. Then edgers ∈ Ij iscalled anIVN Ij -edgeor in short anIj -edgeif

t−j (rs) > 0 or i−j (rs) > 0 or f−j (rs) > 0 or t+j (rs) > 0 or i+j (rs) > 0 orf+j (rs) > 0

or all of conditions are satisfied. Hence support ofIj is defined as;

supp(Ij) ={rs ∈ Ij : t

−j (rs) > 0} ∪ {rs ∈ Ij : i

−j (rs) > 0} ∪ {rs ∈ Ij : f

−j (rs) > 0} ∪

{rs ∈ Ij : t+j (rs) > 0} ∪ {rs ∈ Ij : i

+j (rs) > 0} ∪ {rs ∈ Ij : f

+j (rs) > 0},

j = 1, 2, . . . , t.

Definition 2.13. An Ij-path in an IVNGSGiv = (I, I1, I2, . . . , It) is a sequencer1, r2, . . . , rt of distinct vertices (exceptrt = r1) in U such thatrj−1rj is an IVNIj-edge for allj = 2, 3, . . . , t.

Definition 2.14. An IVNGS Giv = (I, I1, I2, . . . , It) is Ij-strong for any j ∈{1, 2, . . . , t} if

t−j (rs) = min{t−(r), t−(s)}, i−j (rs) = min{i−(r), i−(s)},f−j (rs) = min{f−(r), f−(s)}, t+j (rs) = min{t+(r), t+(s)},i+j (rs) = min{i+(r), i+(s)}, f+

j (rs) = min{f+(r), f+(s)},

for all rs ∈ supp(Ij). If Giv is Ij -strong for allj ∈ {1, 2, . . . , t}, thenGiv iscalled astrong IVNGS.

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Interval-Valued Neutrosophic Graph Structures 119

b b

b

b

b

b

r6([0.1, 0.2], [0.5, 0.6], [0.4, 0.5])

r 5([0.2,0.3],[0.7,0.8],[0.3,0.4])

r 4([0.3,0.4], [0.6,0.7], [0.4,0.5])

r3 ([0.2, 0.3], [0.7, 0.8], [0.5, 0.6])

r2([0.3, 0.4], [0.6, 0.7], [0.3, 0.4]) r1([0.4, 0.5], [0.6, 0.7], [0.4, 0.5])

I2([0.1,0.2],[0.5,0.6],[0.4,0.5])

I 2([0.3,0.4], [0.6,0.7], [0.4,0.5])

I3([0.2,0.3],[0.6,0.7],[0.3,0.4])

I 2([0.1,0.2], [0.5,0.6], [0.3,0.4])

I1 ([0.1, 0.2], [0.5, 0.6], [0.4, 0.5])

I1 ([0.2, 0.3], [0.6, 0.7], [0.3.0.4])

I 3([0.2,0.3],[0.6,0.7],[0.3,0.4])

I3([0.2, 0.3], [0.6, 0.7], [0.4, 0.5])

I2([0.3, 0.4], [0.6, 0.7], [0.3, 0.4])

FIGURE 6. Strong IVNGS

Example 2.15. Consider an IVNGSGiv = (I, I1, I2, I3) as shown in Fig.6. Giv

is a strong IVNGS, since it isI1, I2 andI3 strong.

Definition 2.16. An IVNGS Giv = (I, I1, I2, . . . , It) is called complete IVNGS,if

(1) Giv is a strong IVNGS.(2) Supp(Ij) 6= ∅, for all j = 1, 2, . . . , t.(3) For allr, s ∈ U , rs is anIj − edge for some j.

Example 2.17. Let Giv = (I, I1, I2, I3) be an IVNGS of graph structureG =(U,R1, R2, R3) and it is shown in Fig.7. Where,U = {r1, r2, r3, r4, r5, r6},R1 = {r1r6, r1r2, r2r4, r2r5, r2r6,r4r5}, R2 = {r4r3, r5r6, r1r4}, R3 = {r1r5, r5r3, r2r3, r1r3, r4r6}. By directcalculations, we can show thatGiv is a strong IVNGS. Moreover,supp(I1) 6= ∅,supp(I2) 6= ∅, supp(I3) 6= ∅ and each pairrjrk of nodes inU , is either anI1− edge orI2−edge orI3− edge. HenceGiv is a complete IVNGS, that is,I1I2I3−complete IVNGS.

Definition 2.18. Let Giv = (I, I1, I2, . . . , It) be an IVNGS. Thetruth strength[t−.PIj , t+.PIj ], indeterminacy strength[i−.PIj , i+.PIj ] and falsity strength[f−.PIj , f+.PIj ] of an Ij -path,PIj = r1, r2, . . . , rn are defined as:

[t−.PIj , t+.PIj ] = [n∧

k=2

[t−Ij (rk−1rk)],n∧

k=2

[t+Ij (rk−1rk)]],

[i−.PIj , i+.PIj ] = [n∧

k=2

[i−Ij (rk−1rk)],n∧

k=2

[i+Ij (rk−1rk)]],

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120 M. Akram and M. Sitara

b b

b

b

b b

r5([0.2, 0.3], [0.2, 0.3], [0.3, 0.4])

r6([0.3, 0.4], [0.1, 0.2], [0.3, 0.4])

r 4([0.2, 0.3],[0.3, 0.4],[0.4, 0.5])

r 3([0.2, 0.3],[0.4, 0.5],[0.4, 0.5])

r2([0.3, 0.4], [0.3, 0.4], [0.5, 0.6])r1([0.2, 0.3], [0.3, 0.4], [0.5, 0.6])I1 ([0.2, 0.3], [0.1, 0.2], [0.3, 0.4])

I 1([0.3,0.4], [0.1,0.2], [0.3,0.4])

I3([0

.2,0

.3],[0

.3,0.4],[0

.4,0

.5])

I 2([0.2,0.3],[0.3,0.4],[0.4,0.5])

I1 ([0.2, 0.3], [0.2, 0.3], [0.3, 0.4])

I3([0.2, 0.3], [0.1, 0.2], [0.3, 0.4])

I1([0.2, 0.3], [0.3, 0.4], [0.5, 0.6])I3 ([0.2, 0.3], [0.3, 0.4], [0.4, 0.5])

I1([0.2,

0.3], [0.3

, 0.4], [0.

4, 0.5])

I 1([0.2,0.3],[0.2,0.3],[0.3,0.4])

I2([0.2,0.3],[0.1,0.2],[0.3,0.4])

I 3([0.2,0.3], [0.2,0.3], [0.3,0.4])

I2([0.2, 0.3], [0.3, 0.4], [0.4, 0.5])

I3 ([0

.2, 0.3], [0

.2, 0.3], [0

.3, 0.4])

FIGURE 7. Complete IVNGS

r5([0.3, 0.4], [0.4, 0.5], [0.3, 0.4])

r2([0.3, 0.4], [0.4, 0.5], [0.3, 0.4])

r 6([0.3,0.4], [0.1,0.2], [0.3,0.4])

r4 ([0.1, 0.2], [0.4, 0.5], [0.2, 0.3])

r 1([0.2, 0.3], [0.3,0.4], [0.4, 0.5])

r3 ([0.3, 0.4], [0.4, 0.5], [0.3, 0.4])

I1 ([0.3, 0.4], [0.1, 0.2], [0.3, 0.4])

I 1([0.1,0.2], [0.4,0.5], [0.2,0.3])

I 2([0.3, 0.4],[0.4, 0.5],[0.3, 0.4])

I2 ([0.2, 0.3], [0.3, 0.4], [0.3, 0.4])

I2 ([0

.3, 0.4], [0

.1, 0.2], [0

.3, 0.4])

I 1([0.1,0.2],[0.3,0.4],[0.2,0.3]) b

b

b

b

b

b

FIGURE 8. IVNGSGiv = (I, I1, I2)

[f−.PIj , f+.PIj ] = [n∧

k=2

[f−Ij(rk−1rk)],

n∧k=2

[f+Ij(rk−1rk)]].

Example 2.19. Consider an IVNGSGiv = (I, I1, I2) of Graph structureG =(U,R1, R2) as shown in Fig.8. ForI2-pathPI2 = r1, r5, r3, r6, [t−.PI2 , t+.PI2 ]= [0.2, 0.3], [i−.PI2 , i+.PI2 ] = [0.1, 0.2] and [f−.PI2 , f+.PI2 ] = [0.3, 0.4].

Definition 2.20. Let Giv = (I, I1, I2, . . . , It) be an IVNGS. Then

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Interval-Valued Neutrosophic Graph Structures 121

• Ij - Truth strength of connectednessbetween two nodesr ands is definedby:[t−∞Ij

(rs), t+∞Ij

(rs)] = [∨i≥1

{t−iIj(rs)},

∨i≥1

{t+iIj(rs)}] such that

[t−iIj(rs), t+i

Ij(rs)] = [(t−(i−1)

Ij◦t

−(1)Ij

)(rs), (t+(i−1)Ij

◦t+(1)Ij

)(rs)] for i ≥ 2

and [t−2Ij

(rs), t+2Ij

(rs)] = [(t−1Ij

◦ t−1Ij

)(rs), (t+1Ij

◦ t+1Ij

)(rs)]

= [∨y

(t−1Ij

(ry) ∧ t−1Ij

(ys)),∨y

(t+1Ij

(ry) ∧ t+1Ij

(ys))].

• Ij - Indeterminacy strength of connectednessbetween two nodesr andsis defined by:[i−∞Ij

(rs), i+∞Ij

(rs)] = [∨i≥1

{i−iIj(rs)},

∨i≥1

{i+iIj(rs)}] such that

[i−iIj(rs), i+i

Ij(rs)] = [(i−(i−1)

Ij◦i

−(1)Ij

)(rs), (i+(i−1)Ij

◦i+(1)Ij

)(rs)] for i ≥ 2

and [i−2Ij

(rs), i+2Ij

(rs)] = [(i−1Ij

◦ i−1Ij

)(rs), (i+1Ij

◦ i+1Ij

)(rs)]

= [∨y

(i−1Ij

(ry) ∧ i−1Ij

(ys)),∨y

(i+1Ij

(ry) ∧ i+1Ij

(ys))].

• Ij - Falsity strength of connectednessbetween two nodesr ands is de-fined by:[f−∞

Ij(rs), f+∞

Ij(rs)] = [

∨i≥1

{f−iIj

(rs)},∨i≥1

{f+iIj

(rs)}] such that

[f−iIj

(rs), f+iIj

(rs)] = [(f−(i−1)Ij

◦ f−(1)Ij

)(rs), (f+(i−1)Ij

◦ f+(1)Ij

)(rs)] for

i ≥ 2 and [f−2Ij

(rs), f+2Ij

(rs)] = [(f−1Ij

◦ f−1Ij

)(rs), (f+1Ij

◦ f+1Ij

)(rs)]

= [∨y

(f−1Ij

(ry) ∧ f−1Ij

(ys)),∨y

(f+1Ij

(ry) ∧ f+1Ij

(ys))].

Definition 2.21. An IVNGS Giv = (I, I1, I2, . . . , It) is called anIj-cycleif (supp(I),supp(I1),supp(I2), . . . , supp(It)) is anIj − cycle.

Definition 2.22. An IVNGS Giv = (I, I1, I2, . . . , It) is an IVN fuzzyIj-cycle(for some j) ifGiv is anIj -cycle and no uniqueIj-edgers exists inGiv such that:[t−Ij (rs), t

+Ij(rs)] = [min{t−Ij (uv) : uv ∈ Ij = supp(Ij)},

min{t+Ij (uv) : uv ∈ Ij = supp(Ij)}] or

[i−Ij(rs), i+Ij(rs)] = [min{i−Ij(uv) : uv ∈ Ij = supp(Ij)},

min{i+Ij (uv) : uv ∈ Ij = supp(Ij)}] or

[f−Ij(rs), f+

Ij(rs)] = [min{f−

Ij(uv) : uv ∈ Ij = supp(Ij)},

min{f+Ij(uv) : uv ∈ Ij = supp(Ij)}].

Example 2.23. Consider an IVNGSGiv = (I, I1, I2) of graph structureG =(U,R1, R2) as shown in Fig.9.

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122 M. Akram and M. Sitara

b

b

bbI2 ([0

.2,0.3],[0

.2,0.3],[0

.3,0.4])

I2([0.1, 0.2], [0.3, 0.4], [0.3, 0.4])

r 1([0.3,0.4],[0.4,0.5],[0.5,0.6])

I1([0.2, 0

.3], [0

.3,0.4

], [0.3,

0.4])

I2 ([0.2, 0.3], [0.2, 0.3], [0.4, 0.5])

I1([0.1

, 0.2],

[0.2, 0.

3],[0.4

, 0.5])

I2([0.1, 0.2], [0.4, 0.5], [0.5, 0.6])

r2([0.2

, 0.3],

[0.3, 0.

4],[0.3

, 0.4])

r4([0.2, 0.3], [0.2, 0.3], [0.4, 0.5])

r 3([0.10.2],[0.4, 0.5],[0.5, 0.6])

FIGURE 9. Interval-valued neutrosophic fuzzyI2-cycle

This IVNGS Giv is anI2-cycle, that is,r1 − r4 − r2 − r3 − r1 and no uniqueI2-edgers exists inGiv satisfying following condition:[t−I2(rs), t

+I2(rs)] = [min{t−I2(uv) : uv ∈ I2 = supp(I2)},

min{t+I2(uv) : uv ∈ I2 = supp(I2)}] or[i−I2(rs), i

+I2(rs)] = [min{i−I2(uv) : uv ∈ I2 = supp(I2)},

min{i+I2(uv) : uv ∈ I2 = supp(I2)}] or[f−

I2(rs), f+

I2(rs)] = [min{f−

I2(uv) : uv ∈ I2 = supp(I2)},

min{f+I2(uv) : uv ∈ I2 = supp(I2)}].

Definition 2.24. Let Giv = (I, I1, I2, . . . , It) be an IVNGS and ‘r’ be a vertex ofGiv. If (I ′, I ′1, I

′2, . . . , I

′t) is an IVN subgraph-structure ofGiv induced byU \{r}

such that for allu 6= r, v 6= r

t−I′(r) = i−I′(r) = f−I′ (r) = t−

I′

j(ru) = i−

I′

j(ru) = f−

I′

j(ru) = 0,

t+I′(r) = i+I′(r) = f+I′ (r) = t+

I′

j(ru) = i+

I′

j(ru) = f+

I′

j(ru) = 0,

[t−I′(u), t+I′(u)] = [t−I (u), t+I (u)], [i−I′(u), i+I′(u)] = [i−I (u), i

+I (u)],

[f−I′ (u), f+

I′ (u)] = [f−I (u), f+

I (u)],[t−I′

j(uv), t+

I′

j(uv)] = [t−Ij (uv), t

+Ij(uv)], [i−

I′

j(uv), i+

I′

j(uv)] = [i−Ij (uv), i

+Ij(uv)],

[f−I′

j(uv), f+

I′

j(uv)] = [f−

Ij(uv), f+

Ij(uv)].

for all edgesru, uv ∈ Giv, then vertexr is anIVN fuzzyIj cut-vertex, if

(1) t−∞Ij

(uv) > t−∞I′

j(uv), t+∞

Ij(uv) > t+∞

I′

j(uv), [t−∞

Ij(uv), t+∞

Ij(uv)] ∩

[t−∞I′

j(uv), t+∞

I′

j(uv)] = ∅

(2) i−∞Ij

(uv) > i−∞I′

j(uv), i+∞

Ij(uv) > i+∞

I′

j(uv), [i−∞

Ij(uv), i+∞

Ij(uv)] ∩

[i−∞I′

j(uv), i+∞

I′

j(uv)] = ∅

(3) f−∞Ij

(uv) > f−∞I′

j(uv), f+∞

Ij(uv) > f+∞

I′

j(uv), [f−∞

Ij(uv), f+∞

Ij(uv)] ∩

[f−∞I′

j(uv), f+∞

I′

j(uv)] = ∅

for someu, v ∈ U \ {r}. Note that vertexr is an

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Interval-Valued Neutrosophic Graph Structures 123

• IVN fuzzyIj−t cut-vertex, if t−∞Ij

(uv)> t−∞I′

j(uv), t+∞

Ij(uv)> t+∞

I′

j(uv),

[t−∞Ij

(uv), t+∞Ij

(uv)]∩ [t−∞I′

j(uv), t+∞

I′

j(uv)] = ∅

• IVN fuzzyIj−i cut-vertex, if i−∞Ij

(uv)> i−∞I′

j(uv), i+∞

Ij(uv)> i+∞

I′

j(uv),

[i−∞Ij

(uv), i+∞Ij

(uv)]∩ [i−∞I′

j(uv), i+∞

I′

j(uv)] = ∅

• IVN fuzzyIj−f cut-vertex, if f−∞Ij

(uv)>f−∞I′

j(uv), f+∞

Ij(uv)>f+∞

I′

j(uv),

[f−∞Ij

(uv), f+∞Ij

(uv)]∩ [f−∞I′

j(uv), f+∞

I′

j(uv)] = ∅

Example 2.25. Consider an IVNGSGiv = (I, I1, I2) of graph structureG =(U,R1, R2) as represented in Fig.10.

b b

b

b

b

b

r 6([0.3,0.4], [0.4,0.5], [0.3,0.4])

r5([0.4,0,5],[0.5,0.6],[0.6,0.7])

r4([0.5,0.6],[0.7,0.9],[0.5,0.6])

r3([0.5,0.6],[0.7,0.8],[0.5,0.6])

r2([0.4, 0.5], [0.7, 0.8], [0.5, 0.6])

r1([0

.3,0

.4],[0

.6,0.7],[0

.4,0

.5])

I2([0.1,0.2],[0.4,0.5],[0.2,0.3])

I 1([0.3,0.4], [0.2,0.3], [0.3,0.4])

I2([0.2,0.3],[0.3,0.4],[0.4,0.5])

I 1([0.5,0.6], [0.7,0.8], [0.5,0.6])

I1 ([0.3, 0.4], [0.3, 0.4], [0.4, 0.5])

I1([0.4,0.5],[0.5,0.6],[0.4,0.5])

I1 ([0.3, 0.4], [0.5, 0.6], [0.4, 0, 5])

I2([0.1, 0.2], [0.4, 0.5], [0.2, 0.3])

I2([0.3, 0.4], [0.6, 0.7], [0.4, 0.5])

FIGURE 10. IVNGSGiv = (I, I1, I2)

Hiv = (I ′, I ′1, I′2) is an IVN subgraph-structure of IVNGSGiv, which is obtained

by deleting vertexr2 and shown in Fig.11.

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124 M. Akram and M. Sitara

b

b

b

b

b

r6([0

.3,0.4],[0

.4,0

.5],[0

.3,0.4])

r5([0.4, 0, 5], [0.5, 0.6], [0.6, 0.7])

r4 ([0

.5, 0.6], [0

.7, 0.9], [0

.5, 0.6])

r3([0.5,0.6],[0.7,0.8],[0.5,0.6])

r 1([0.3,0.4], [0.6,0.7], [0.4,0.5])

I′ 2([0.1,0.2],[0.4,0.5],[0.2,0.3])

I′

1([0.3,0.4], [0.2,0.3], [0.3,0.4])

I′ 2([0.2,0.3],[0.3,0.4],[0.4,0.5])

I′

1([0.5,0.6], [0.7,0.8], [0.5,0.6])

I ′1 ([0.3, 0.4], [0.3, 0.4], [0.4, 0.5])

I′2([0.1, 0.2], [0.4, 0.5], [0.2, 0.3])

FIGURE 11. IVNGSHiv = (I ′, I ′1, I′2)

The vertexr2 is an IVN fuzzyI1 − i cut-vertex. Sincei−∞I′

1(r4r5) = 0.3, i−∞

I1(r4r5) = 0.5, i+∞

I′

1(r4r5) = 0.4, i+∞

I1(r4r5) = 0.6.

Clearlyi−∞I1

(r4r5) = 0.5> 0.3 =i−∞I′

1(r4r5), i

+∞I1

(r4r5) = 0.6> 0.4 =i+∞I′

1(r4r5),

[i−∞I1

(r4r5), i+∞I1

(r4r5)] ∩ [i−∞I′

1(r4r5), i

+∞I′

1(r4r5)] = [0.5, 0.6]∩ [0.3, 0.4] =∅.

Definition 2.26. Let Giv = (I, I1, I2, . . . , It) be an IVNGS andrs be anIj−edge.If (I ′, I ′1, I

′2, . . . , I

′t) is an IVN fuzzy spanning subgraph-structure ofGiv , such

that

t−I′

j(rs) = i−

I′

j(rs) = f−

I′

j(rs) = 0, t+

I′

j(rs) = i+

I′

j(rs) = f+

I′

j(rs) = 0,

[t−I′

j(wx), t+

I′

j(wx)] = [t−Ij (wx), t

+Ij(wx)], [i−

I′

j(wx), i+

I′

j(wx)] = [i−Ij (wx),

i+Ij (wx)],

[f−I′

j(wx), f+

I′

j(wx)] = [f−

Ij(wx), f+

Ij(wx)],

for all edgeswx 6= rs, then edgers is an IVN fuzzyIj -bridge if

(1) t−∞Ij

(uv) > t−∞I′

j(uv), t+∞

Ij(uv) > t+∞

I′

j(uv), [t−∞

Ij(uv), t+∞

Ij(uv)]∩

[t−∞I′

j(uv), t+∞

I′

j(uv)] = ∅

(2) i−∞Ij

(uv) > i−∞I′

j(uv), i+∞

Ij(uv) > i+∞

I′

j(uv), [i−∞

Ij(uv), i+∞

Ij(uv)]∩

[i−∞I′

j(uv), i+∞

I′

j(uv)] = ∅

(3) f−∞Ij

(uv) > f−∞I′

j(uv), f+∞

Ij(uv) > f+∞

I′

j(uv), [f−∞

Ij(uv), f+∞

Ij(uv)]∩

[f−∞I′

j(uv), f+∞

I′

j(uv)] = ∅

for someu, v ∈ U . Note that edgers is an

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Interval-Valued Neutrosophic Graph Structures 125

b b

b

b

b

b

r6([0

.3,0.4],[0

.4,0.6],[0

.4,0.5])

r5([0.7, 0.8], [0.5, 0.6], [0.6, 0.7])

r4 ([0.5, 0.6], [0.7, 0.9], [0.5, 0.7])

r3([0.5,0.6],[0.7,0.8],[0.5,0.7])

r2([0.8, 0.9], [0.7, 0.8], [0.5, 0.7])

r 1([0.3,0.4], [0.6,0.7], [0.4,0.5])

I2([0.1,0.2],[0.4,0.5],[0.2,0.3])

I 1([0.2,0.3], [0.4,0.6], [0.3,0.4])

I2([0.2,0.3],[0.4,0.5],[0.3,0.4])

I 1([0.5,0.6], [0.7,0.8], [0.5,0.6])

I1 ([0.2, 0.3], [0.3, 0.4], [0.3, 0.4])

I 1([0.7,0.8],[0.5,0.6],[0.5,0.7])

I1 ([0.2, 0.3], [0.5, 0.6], [0.3, 0.4])

I2([0.1, 0.2], [0.4, 0.5], [0.2, 0.3])

I2([0.3, 0.4], [0.6, 0.7], [0.4, 0.5])

FIGURE 12. IVNGSGiv = (I, I1, I2)

• IVN fuzzyIj − t bridge, if t−∞Ij

(uv) > t−∞I′

j(uv), t+∞

Ij(uv) > t+∞

I′

j(uv),

[t−∞Ij

(uv), t+∞Ij

(uv)]∩ [t−∞I′

j(uv), t+∞

I′

j(uv)] = ∅

• IVN fuzzyIj − i bridge, if i−∞Ij

(uv) > i−∞I′

j(uv), i+∞

Ij(uv) > i+∞

I′

j(uv),

[i−∞Ij

(uv), i+∞Ij

(uv)]∩ [i−∞I′

j(uv), i+∞

I′

j(uv)] = ∅

• IVN fuzzyIj−f bridge, if f−∞Ij

(uv)> f−∞I′

j(uv), f+∞

Ij(uv)> f+∞

I′

j(uv),

[f−∞Ij

(uv), f+∞Ij

(uv)]∩ [f−∞I′

j(uv), f+∞

I′

j(uv)] = ∅

Example 2.27. Consider an IVNGSGiv = (I, I1, I2) of graph structureG =(U,R1, R2) as shown in Fig. 12.Hiv = (I ′, I ′1, I

′2) is an IVN spanning subgraph-

structure of IVNGSGiv obtained by deleting anI1-edger2r5 and shown in Fig.13. The edger2r5 is an IVN fuzzyI1 − bridge since

• t−∞I′

1(r2r5) = 0.2, t−∞

I1(r2r5) = 0.7, t+∞

I′

1(r2r5) = 0.3, t+∞

I1(r2r5) =

0.8. t−∞I1

(r2r5) = 0.7> 0.2 = t−∞I′

1(r2r5), t+∞

I1(r2r5) = 0.8> 0.3 =

t+∞I′

1(r2r5), [t−∞

I1(r2r5), t

+∞I1

(r2r5)] ∩ [t−∞I′

1(r2r5), t

+∞I′

1(r2r5)]= [0.7,

0.8]∩ [0.2, 0.3] =∅.• i−∞

I′

1(r2r5) = 0.3, i−∞

I1(r2r5) = 0.5, i+∞

I′

1(r2r5) = 0.4, i+∞

I1(r2r5) =

0.6. i−∞I1

(r2r5) = 0.5> 0.3 = i−∞I′

1(r2r5), i+∞

I1(r2r5) = 0.6> 0.4 =

i+∞I′

1(r2r5),

[i−∞I1

(r2r5), i+∞I1

(r2r5)] ∩ [i−∞I′

1(r2r5), i

+∞I′

1(r2r5)]= [0.5, 0.6]∩ [0.3,

0.4] = ∅.

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126 M. Akram and M. Sitara

b b

b

b

b

b

r6([0

.3,0.4],[0

.4,0.6],[0

.4,0.5])

r5([0.7, 0.8], [0.5, 0.6], [0.6, 0.7])

r4 ([0.5, 0.6], [0.7, 0.9], [0.5, 0.7])

r3([0.5,0.6],[0.7,0.8],[0.5,0.7])

r2([0.8, 0.9], [0.7, 0.8], [0.5, 0.7])

r 1([0.3,0.4], [0.6,0.7], [0.4,0.5])

I′ 2([0.1,0.2],[0.4,0.5],[0.2,0.3])

I′

1([0.2,0.3], [0.4,0.6], [0.3,0.4])

I′ 2([0.2,0.3],[0.4,0.5],[0.3,0.4])

I′

1([0.5,0.6], [0.7,0.8], [0.5,0.6])

I ′1 ([0.2, 0.3], [0.3, 0.4], [0.3, 0.4])

I ′1 ([0.2, 0.3], [0.5, 0.6], [0.3, 0.4])

I′2([0.1, 0.2], [0.4, 0.5], [0.2, 0.3])

I′2([0.3, 0.4], [0.6, 0.7], [0.4, 0.5])

FIGURE 13. IVNGSHiv = (I ′, I ′1, I′2)

• f−∞I′

1(r2r5) = 0.3, f−∞

I1(r2r5) = 0.5, f+∞

I′

1(r2r5) = 0.4, f+∞

I1(r2r5) =

0.7. f−∞I1

(r2r5) = 0.5> 0.3 = f−∞I′

1(r2r5), f+∞

I1(r2r5) = 0.7> 0.4 =

f+∞I′

1(r2r5), [f−∞

I1(r2r5), f

+∞I1

(r2r5)] ∩ [f−∞I′

1(r2r5), f

+∞I′

1(r2r5)] =

[0.5, 0.7]∩ [0.3, 0.4] =∅.

Definition 2.28. An IVNGS Giv = (I, I1, I2, . . . , It) is anIj-treeif (supp(I), supp(I1),supp(I2), . . . , supp(It)) is anIj − tree. Alternatively,Giv is anIj -tree, if Giv

has a subgraph induced bysupp(Ij) that forms a tree.

Definition 2.29. An IVNGS Giv = (I, I1, I2, . . . , It) is an IVN fuzzyIj-tree ifGiv has an IVN fuzzy spanning subgraph-structureHiv = (I ′′, I ′′1 , I

′′2 , . . . , I

′′t )

such that for allIj -edgesrs not in Hiv,Hiv is anI ′′j -tree and

(1) t−Ij (rs) < t−∞I′′

j(rs), t+Ij (rs) < t+∞

I′′

j(rs), [t−Ij (rs), t+Ij (rs)] ∩

[t−∞I′′

j(rs), t+∞

I′′

j(rs)] = ∅

(2) i−Ij (rs) < i−∞I′′

j(rs), i+Ij (rs) < i+∞

I′′

j(rs), [i−Ij (rs), i

+Ij(rs)] ∩

[i−∞I′′

j(rs), i+∞

I′′

j(rs)] = ∅

(3) f−Ij(rs) < f−∞

I′′

j(rs), f+

Ij(rs) < f+∞

I′′

j(rs), [f−

Ij(rs), f+

Ij(rs)] ∩

[f−∞I′′

j(rs), f+∞

I′′

j(rs)] = ∅

In particular,

• Giv is anIVN fuzzyIj−t treeif t−Ij (rs)< t−∞I′′

j(rs), t+Ij (rs)< t+∞

I′′

j(rs),

[t−Ij (rs), t+Ij(rs)] ∩ [t−∞

I′′

j(rs), t+∞

I′′

j(rs)] = ∅

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Interval-Valued Neutrosophic Graph Structures 127

bb

b

b

b

b

r6 ([0.3, 0.4], [0.4, 0.5], [0.4, 0.5])

r5([0.4, 0.5], [0.5, 0.6], [0.6,0.7])

r4([0

.5, 0.6], [0

.7, 0.8], [0

.5, 0.6])

r3([0

.5, 0

.6], [0

.7, 0.8], [0

.5, 0.6])

r2([0.4, 0.5], [0.7, 0.8], [0.5, 0.6])

r1([0.3, 0.4], [0.6, 0.7], [0.5, 0.6])

I2([0

.1, 0

.2], [0

.4, 0.5], [0

.1, 0.2])

I 2([0.3,0.4], [0.2,0.3], [0.3,0.4])

I2([0.2,0.3],[0.4,0.5],[0.4,0.5])

I 1([0.5,0.6], [0.4,0.5], [0.4,0.5])

I1 ([0.3, 0.4], [0.4, 0.5], [0.5, 0.6])

I 1([0.1,0.2],[0.2,0.3],[0.5,0.6])

I1 ([0.3, 0.5], [0.4, 0.5], [0.4, 0.5])

I2([0.1, 0.2], [0.4, 0.5], [0.4, 0.5])

I2([0.2, 0.3], [0.6, 0.7], [0.2, 0.3])

FIGURE 14. Giv = (I, I1, I2)

• Giv is anIVN fuzzyIj−i treeif i−Ij (rs)< i−∞I′′

j(rs), i+Ij (rs)< i+∞

I′′

j(rs),

[i−Ij (rs), i+Ij(rs)] ∩ [i−∞

I′′

j(rs), i+∞

I′′

j(rs)] = ∅

• Giv is an IVN fuzzyIj − f tree if f−Ij(rs) < f−∞

I′′

j(rs), f+

Ij(rs) <

f+∞I′′

j(rs), [f−

Ij(rs), f+

Ij(rs)] ∩ [f−∞

I′′

j(uv), f+∞

I′′

j(uv)] = ∅

Example 2.30. Consider an IVNGSGiv = (I, I1, I2) of graph structureG =(U,R1, R2) as shown in Fig. 14. This IVNGS isI2-tree, notI1-tree. But it isIVN fuzzy I1 − t tree, since it has an IVN fuzzy spanning subgraph-structureHiv

= (I ′′, I ′′1 , I′′2 ) as anI ′′1 -tree, which is obtained by deletingI1-edger2r5 from Giv

and shown in Fig. 15. By direct calculations, we found thatt−∞I′′

1(r2r5) = 0.3, t+∞

I′′

1(r2r5) = 0.5, t−I1(r2r5) = 0.1, t+I1(r2r5) = 0.2,

t−I1(r2r5) = 0.1< 0.3 =t−∞I′′

1(r2r5), t

+I1(r2r5) = 0.2< 0.5 =t+∞

I′′

1(r2r5),

[t−∞I′′

1(r2r5), t

+∞I′′

1(r2r5)] ∩ [t−I1(r2r5), t

+I1(r2r5)] = [0.3, 0.5]∩ [0.1, 0.2] =∅.

Definition 2.31. An IVNGS Giv1 = (I1, I11, I12, . . . , I1t) of graph structureG1

= (U1, R11, R12, . . . , R1t) is isomorphic to IVNGSGiv2 = (I2, I21, I22, . . . , I2t)of graph structureG2 = (U2, R21, R22, . . . , R2t), if there is a pair(f, ϕ), wheref : U1 → U2 is bijection andϕ is a permutation on set{1, 2, . . . , t} such that:

[t−I1(r), t+I1(r)] = [t−I2(f(r)), t

+I2(f(r))], [i−I1(r), i

+I1(r)] = [i−I2(f(r)), i

+I2(f(r))],

[f−I1(r), f+

I1(r)] = [f−

I2(f(r)), f+

I2(f(r))],

[t−I1j (rs), t+I1j

(rs)] = [t−I2ϕ(j)(f(r)f(s)), t+I2ϕ(j)

(f(r)f(s))],

[i−I1j (rs), i+I1j

(rs)] = [i−I2ϕ(j)(f(r)f(s)), i+I2ϕ(j)

(f(r)f(s))],

[f−I1j

(rs), f+I1j

(rs)] = [f−I2ϕ(j)

(f(r)f(s)), f+I2ϕ(j)

(f(r)f(s))],

Page 16: Interval-Valued Neutrosophic Graph Structurespu.edu.pk/images/journal/maths/PDF/Paper-12_50_1_2018.pdf · neutrosophic set is a generalization of the notion of single-valued neutrosophic

128 M. Akram and M. Sitara

bb

b

b

b

b

r6 ([0.3, 0.4], [0.4, 0.5], [0.4, 0.5])

r5([0.4, 0.5], [0.5, 0.6], [0.6, 0.7])

r4([0

.5, 0.6], [0

.7, 0.8], [0

.5, 0.6])

r3([0

.5, 0

.6], [0

.7, 0.8], [0

.5, 0.6])

r2([0.4, 0.5], [0.7, 0.8], [0.5, 0.6])

r1([0.3, 0.4], [0.6, 0.7], [0.5, 0.6])

I′′

2([0

.1, 0.2], [0

.4, 0.5], [0

.1,−0.2])

I′′

2([0.3,0.4], [0.2,0.3], [0.3,0.4])

I′′

2([0.2,0.3],[0.4,0.5],[0.4,0.5])

I′′

1([0.5,0.6], [0.4,0.5], [0.4,0.5])

I ′′1 ([0.3, 0.4], [0.4, 0.5], [0.5, 0.6])

I ′′1 ([0.3, 0.5], [0.4, 0.5], [0.4, 0.5])

I′′2([0.1, 0.2], [0.4, 0.5], [0.4, 0.5])

I′′

2 ([0.2, 0.3], [0.6, 0.7], [0.2,0.3])

FIGURE 15. Hiv = (I ′′, I ′′1 , I′′2 )

I2 ([0.2, 0.3], [0.2, 0.3], [0.5, 0.6])

r3([0.3, 0.4],[0.7, 0.8],[0.5, 0.6])

r 2([0.6,0.7],[0.5,0.6],[0.5,0.6])

r1([0.4, 0.5], [0.3, 0.4], [0.4, 0.5])

I1([0.2, 0

.3], [0

.3,0.4

], [0.4,

0.5])

I1([0.3, 0.4],[0.3, 0.4],[0.4, 0.5])

I 1([0.3,0.4],[0.2,0.3],[0.4,0.5])

b

bb

b

I2 ([0.3, 0.4], [0.2, 0.3], [0.5, 0.6])

r4([0.3, 0.4], [0.2, 0.3], [0.5, 0.6])

FIGURE 16. IVNGSGiv1 = (I, I1, I2)

for all r ∈ U1, rs ∈ I1j , j ∈ {1, 2, . . . , t}.

Example 2.32. Let Giv1 = (I, I1, I2) andGiv2 = (I ′, I ′1, I′2) be two IVNGSs of

two GSsG1 = (U,R1, R2) andG2 = (U ′, R′1, R

′2) as shown in Fig. 16 and Fig.

17, respectively.Giv1 andGiv2 are isomorphic under(f, ϕ), wheref : U → U ′ is bijection and

ϕ is permutation on set{1, 2} defined asϕ(1) = 2, ϕ(2) = 1, such that:

[t−I (ri), t+I (ri)] = [t−I′(f(ri)), t

+I′(f(ri))],

Page 17: Interval-Valued Neutrosophic Graph Structurespu.edu.pk/images/journal/maths/PDF/Paper-12_50_1_2018.pdf · neutrosophic set is a generalization of the notion of single-valued neutrosophic

Interval-Valued Neutrosophic Graph Structures 129

I′

1([0.2, 0.3],[0.2, 0.3],[0.5, 0.6])

s3([0.3, 0.4],[0.7, 0.8],[0.5, 0.6])

s2([0.6, 0.7],[0.5, 0.6],[0.5, 0.6])

s1([0.4, 0.5], [0.3, 0.4], [0.4, 0.5])

I ′2 ([0.2, 0.3], [0.3, 0.4], [0.4, 0.5])

I ′2 ([0.3, 0.4], [0.3, 0.4], [0.4, 0.5])

I′ 2([0.3,0.4],[0.2,0.3],[0.4,0.5])

b

bb

b

I′1([0

.3,0.4

], [0.2,

0.3], [0

.5,0.6

])

s4([0.3, 0.4], [0.2, 0.3], [0.5, 0.6])

FIGURE 17. IVNGSGiv2 = (I ′, I ′1, I′2)

[i−I (ri), i+I (ri)] = [i−I′(f(ri)), i

+I′(f(ri))],

[f−I (ri), f

+I (ri)] = [f−

I′ (f(ri)), f+I′ (f(ri))],

[t−Ij (rirk), t+Ij(rirk)] = [t−Iϕ(j)

(f(ri)f(rk)), t+Iϕ(j)

(f(ri)f(rk))],

[i−Ij(rirk), i+Ij(rirk)] = [i−Iϕ(j)

(f(ri)f(rk)), i+Iϕ(j)

(f(ri)f(rk))],

[f−Ij(rirk), f

+Ij(rirk)] = [f−

Iϕ(j)(f(ri)f(rk)), f

+Iϕ(j)

(f(ri)f(rk))],

for all ri ∈ U , rirk ∈ Ij , j ∈ {1, 2} andi, k ∈ {1, 2, 3, 4}.

Definition 2.33. An IVNGS Giv1 = (I1, I11, I12, . . . , I1t) of graph structureG1

= (U1, R11, R12, . . . , R1t) is identical to IVNGSGiv2 = (I2, I21, I22, . . . , I2t) ofgraph structureG2 = (U2, R21, R22, . . . , R2t) if f : U1 → U2 is a bijection, suchthat

[t−I1(r), t+I1(r)] = [t−I2(f(r)), t

+I2(f(r))], [i−I1(r), i

+I1(r)] = [i−I2(f(r)), i

+I2(f(r))],

[f−I1(r), f+

I1(r)] = [f−

I2(f(r)), f+

I2(f(r))],

[t−I1j (rs), t+I1j

(rs)] = [t−I2j (f(r)f(s)), t+I2j

(f(r)f(s))],

[i−I1j (rs), i+I1j

(rs)] = [i−I2j (f(r)f(s)), i+I2j

(f(r)f(s))],

[f−I1j

(rs), f+I1j

(rs)] = [f−I2j

(f(r)f(s)), f+I2j

(f(r)f(s))],

for all r ∈ U1, rs ∈ U1j , j ∈ {1, 2, . . . , t}.

Example 2.34. Let Giv1 = (I, I1, I2) andGiv2 = (I ′, I ′1, I′2) be two IVNGSs of

the graph structuresG1 = (U,R1, R2) andG2 = (U ′, R′1, R

′2), respectively as

shown in Fig. 18 and Fig. 19, respectively.

Page 18: Interval-Valued Neutrosophic Graph Structurespu.edu.pk/images/journal/maths/PDF/Paper-12_50_1_2018.pdf · neutrosophic set is a generalization of the notion of single-valued neutrosophic

130 M. Akram and M. Sitara

bb

b b

bb

b b r1([0.6, 0.7], [0.6, 0.7], [0.8, 0.9])r7([0.6, 0.7], [0.6, 0.7], [0.6, 0.7])r2([0.4,0.5],[0.4,0.5],[0.5,0.6])

r8([0.5, 0.6], [0.6, 0.7], [0.6, 0.7]) r4([0.7, 0.8], [0.5, 0.6], [0.7, 0.8])

r6([0.5, 0.6], [0.5, 0.6], [0.5, 0.6]) r3([0.6, 0.7], [0.4, 0.5], [0.6, 0.7])

r5([0.6,0.7],[0.6,0.7],[0.5,0.6])

I2 ([0.6, 0.7], [0.4, 0.5], [0.5, 0.6])

I2([0

.5,0.6

], [0.3

, 0.4], [0

.6,0.7

])

I2([0

.2,0.3

], [0.3

, 0.4], [0

.5,0.6

])

I1 ([0.4, 0.5], [0.4, 0.5], [0.2, 0.3])

I2([0

.2,0.3

], [0.2

, 0.3], [0

.3,0.4

])

I1([0

.4,0.5

], [0.2

, 0.3], [0

.5,0.6

])

I2([0

.6,0.7

], [0.5

, 0.6], [0

.5,0.6

])

I2([0.3, 0.4], [0.3, 0.4], [0.4, 0.5])

I2([0.4, 0.5], [0.3, 0.4], [0.5, 0.6])

I1([0.3, 0.4], [0.3, 0.4], [0.4, 0.5])

I1([0

.3,0.4

], [0.2

, 0.3], [0

.4,0.5

])

FIGURE 18. IVNGSGiv1

bb

b b

bb

b b s1([0.4, 0.5], [0.4, 0.5], [0.5, 0.6])s2([0.6, 0.7], [0.6, 0.7], [0.8, 0.9])

s5([0.6,0.7],[0.6,0.7],[0.5,0.6])

s4([0.6, 0.7], [0.4, 0.5], [0.6, 0.7]) s8([0.5, 0.6], [0.5, 0.6], [0.5, 0.6])

s3([0.7, 0.8], [0.5, 0.6], [0.7, 0.8]) s6([0.5, 0.6], [0.6, 0.7], [0.6, 0.7])

s7([0.6,0.7],[0.6,0.7],[0.6,0.7])

I ′

2 ([0.5, 0.6], [0.3, 0.4], [0.6, 0.7])

I′

1([0

.3,0.4

], [0.2

, 0.3], [0

.4,0.5

])

I′

2([0

.6,0.7

], [0.5

, 0.6], [0

.5,0.6

])

I ′

2 ([0.6, 0.7], [0.4, 0.5], [0.5, 0.6])I′

2([0

.2,0.3

], [0.3

, 0.4], [0

.5,0.6

])

I′

2([0

.2,0.3

], [0.2

, 0.3], [0

.3,0.4

])

I′

1([0

.4,0.5

], [0.2

, 0.3], [0

.5,0.6

])

I ′2([0.4, 0.5], [0.3, 0.4], [0.5, 0.6])

I ′1([0.3, 0.4], [0.3, 0.4], [0.4, 0.5])

I ′1([0.3, 0.4], [0.3, 0.4], [0.4, 0.5])

I′

1([0

.4,0.5

], [0.4

, 0.5], [0

.2,0.3

])

FIGURE 19. IVNGSGiv2

IVNGS Giv1 is identical toGiv2 underf : U → U ′ defined as :f(r1) = s2, f(r2) = s1, f(r3) = s4, f(r4) = s3, f(r5) = s5, f(r6) = s8,f(r7) = s7, f(r8) = s6. Moreover,

[t−I (ri), t+I (ri)] = [t−I′(f(ri)), t

+I′(f(ri))],

[i−I (ri), i+I (ri)] = [i−I′(f(ri)), i

+I′(f(ri))],

[f−I (ri), f

+I (ri)] = [f−

I′ (f(ri)), f+I′ (f(ri))],

[t−Ij (rirk), t+Ij(rirk)] = [t−

I′

j(f(ri)f(rk)), t

+I′

j(f(ri)f(rk))],

[i−Ij(rirk), i+Ij(rirk)] = [i−

I′

j(f(ri)f(rk)), i

+I′

j(f(ri)f(rk))],

[f−Ij(rirk), f

+Ij(rirk)] = [f−

I′

j(f(ri)f(rk)), f

+I′

j(f(ri)f(rk))],

for all ri ∈ U , rirk ∈ Rj , j ∈ {1, 2}, i, k ∈ {1, 2, . . . , 8}.

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Interval-Valued Neutrosophic Graph Structures 131

Definition 2.35. Let Giv = (I, I1, I2, . . . , It) be an IVNGS andϕ be a permuta-tion on {I1, I2, . . . , It} and also on the set{1, 2, . . . , t}, that is,ϕ(Ij) = Il iffϕ(j) = l for all j. If rs ∈ Ij and

[t−Iϕj

(rs), t+Iϕj

(rs)] = [t−I (r) ∧ t−I (s)−∨l 6=j

t−ϕ(Il)

(rs),

t+I (r) ∧ t+I (s)−∨l 6=j

t+ϕ(Il)

(rs)], [i−Iϕj

(rs), i+Iϕj

(rs)] =

[i−I (r) ∧ i−I (s)−∨l 6=j

i−ϕ(Il)

(rs), i+I (r) ∧ i+I (s)−∨l 6=j

i+ϕ(Il)

(rs)],

[f−Iϕj

(rs), f+Iϕj

(rs)] =

[f−I (r) ∧ f−

I (s)−∨l 6=j

f−ϕ(Il)

(rs), f+I (r) ∧ f+

I (s)−∨l 6=j

f+ϕ(Il)

(rs)],

j = 1, 2, . . . , t, thenrs ∈ Iϕu , whereu is selected, such that

• t−Iϕu(rs) ≥ t−

Iϕj

(rs), t+Iϕu(rs) ≥ t+

Iϕj

(rs), [t−Iϕu(rs), t+

Iϕu(rs)] ∩ [ t−

Iϕj

(rs),

t+Iϕj

(rs)] = ∅

• i−Iϕu(rs) ≥ i−

j

(rs), i+Iϕu(rs) ≥ i+

j

(rs), [i−Iϕu(rs), i+

Iϕu(rs)] ∩ [ i−

j

(rs),

i+Iϕj

(rs)] = ∅

• f−Iϕu(rs) ≥ f−

Iϕj

(rs), f+Iϕu(rs) ≥ f+

Iϕj

(rs), [f−Iϕu(rs), f+

Iϕu(rs)] ∩ [ f−

Iϕj

(rs),

f+Iϕj

(rs)] = ∅

for all j. Then IVNGS(I, Iϕ1 , Iϕ2 , . . . , I

ϕt ) is said to beϕ-complement of IVNGS

Giv and denoted byGϕciv .

Example 2.36.Let I = {(r1, [0.4, 0.5], [0.4, 0.5], [0.7, 0.8]), (r2, [0.6, 0.7], [0.6, 0.7],[0.4, 0.5]), (r3, [0.8, 0.9], [0.5, 0.6], [0.3, 0.4])},I1 = {(r1r3, [0.4, 0.5], [0.4, 0.5], [0.3, 0.4])},I2 = {(r2r3, [0.6, 0.7], [0.4, 0.5], [0.3, 0.4])},I3 = {(r1r2, [0.4, 0.5], [0.3, 0.4], [0.4, 0.5])}be IVN subsets ofU = {r1, r2, r3}, R1 = {r1r3}, R2 = {r2r3}, R3 ={r1r2}, respectively. Obviously,Giv = (I, I1, I2, I3) is an IVNGS of GSG =(U,R1, R2, R3) as shown in Fig. 20

bb

b

r3([0.8, 0.9], [0.5, 0.6], [0.3, 0.4])

I3 ([0

.4, 0.5], [0

.3, 0.4], [0

.4, 0.5])

I2([0.6, 0.7], [0.4, 0.5], [0.3, 0.4])

I 1([0.4,0.5], [0.4,0.5], [0.3,0.4])

r1([0.4, 0.5], [0.4, 0.5], [0.7, 0.8])

r2([0.6, 0.7], [0.6, 0.7], [0.4, 0.5])

FIGURE 20. Giv = (I, I1, I2, I3)

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132 M. Akram and M. Sitara

Simple calculations of edgesr1r3, r2r3, r1r2 ∈ I1, I2, I3, respectively, show thatr1r3 ∈ I

ϕ3 , r2r3 ∈ I

ϕ1 , r1r2 ∈ I

ϕ2 . So,Gϕc

iv =(I, Iϕ1 , Iϕ2 , I

ϕ3 ) is ϕ-complement of

IVNGS Giv as shown in Fig.21.

b

b

br3([0.8,0.9],[0.5,0.6],[0.3,0.4])

2([0.4,0.5], [0.4,0.5], [0.4,0.5])

I ϕ

1 ([0.6, 0.7], [0

.5, 0.6], [0

.3, 0.4])

3([0.4, 0.5], [0.4, 0.5], [0.3, 0.4])r

1([0.4,0.5],[0.4,0.5],[0.7,0.8])

r2([0.6, 0.7], [0.6, 0.7], [0.4, 0.5])

FIGURE 21. Giv = (I, Iϕ1 , Iϕ2 , I

ϕ3 )

Proposition 2.37.ϕ-complement of an IVNGSGiv = (I, I1, I2, . . . , It) is a strongIVNGS. Moreover, ifϕ(j) = u, wherej, u ∈ {1, 2, . . . , t}, then allIu-edges inIVNGS(I, I1, I2, . . . , It) becomeIϕj -edges in(I, Iϕ1 , I

ϕ2 , . . . , I

ϕt ).

Proof. By definition ofϕ-complement,

[t−Iϕj

(rs), t+Iϕj

(rs)] = [t−I (r) ∧ t−I (s)−∨

l 6=j

t−ϕ(Il)

(rs), t+I (r) ∧ t+I (s)−∨

l 6=j

t+ϕ(Il)

(rs)],(2. 1)

[i−Iϕj

(rs), i+Iϕj

(rs)] = [i−I (r) ∧ i−I (s)−∨

l 6=j

i−ϕ(Il)

(rs), i+I (r) ∧ i+I (s)−∨

l 6=j

i+ϕ(Il)

(rs)],(2. 2)

[f−Iϕj

(rs), f+Iϕj

(rs)] = [f−I (r) ∧ f−

I (s)−∨

l 6=j

f−ϕ(Il)

(rs), f+I (r) ∧ f+

I (s)−∨

l 6=j

f+ϕ(Il)

(rs)],(2. 3)

for j ∈ {1, 2, . . . , t}. For expression of truth membership value:As t−I (r)∧ t−I (s) ≥ 0, t+I (r)∧ t+I (s) ≥ 0 and

∨l 6=j

t−ϕ(Il)

(rs) ≥ 0,∨l 6=j

t+ϕ(Il)

(rs) ≥

0. Sincet−Ij (rs) ≤ t−I (r) ∧ t−I (s), t+Ij(rs) ≤ t+I (r) ∧ t+I (s), for all Ij . This

implies∨l 6=j

t−ϕ(Il)

(rs) ≤ t−I (r) ∧ t−I (s) and∨l 6=j

t+ϕ(Il)

(rs) ≤ t+I (r) ∧ t+I (s). It

shows thatt−I (r)∧ t−I (r)−∨l 6=j

t−ϕ(Il)

(rs) ≥ 0, t+I (r)−∨l 6=j

t+ϕ(Il)

(rs) ≥ 0. Hence

t−Iϕj

(rs) ≥ 0 andt+Iϕj

(rs) ≥ 0, for all j. Furthermore,t−Iϕj

(rs) andt+Iϕj

(rs) obtain

maximum value when∨l 6=j

t−ϕ(Il)

(rs) and∨l 6=j

t+ϕ(Il)

(rs) are zero. Obviously, when

ϕ(Ij) = Iu andrs is an Iu-edge then∨l 6=j

t−ϕ(Il)

(rs) and∨l 6=j

t+ϕ(Il)

(rs) acquire

zero value. Hence

[t−Iϕj

(rs), t+Iϕj

(rs)] = [t−I (r) ∧ t−I (s), t+I (r) ∧ t+I (s)], for (rs) ∈ Iu, ϕ(Ij) = Iu.(2. 4)

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Interval-Valued Neutrosophic Graph Structures 133

For expression of indeterminacy membership value:As i−I (r)∧ i−I (s) ≥ 0, i+I (r)∧ i+I (s) ≥ 0 and

∨l 6=j

i−ϕ(Il)

(rs) ≥ 0,∨l 6=j

i+ϕ(Il)

(rs) ≥

0. Sincei−Ij (rs) ≤ i−I (r) ∧ i−I (s), i+Ij(rs) ≤ i+I (r) ∧ i+I (s), for all Ij . This

implies∨l 6=j

i−ϕ(Il)

(rs) ≤ i−I (r) ∧ i−I (s) and∨l 6=j

i+ϕ(Il)

(rs) ≤ i+I (r) ∧ i+I (s). It

shows thati−I (r) ∧ i−I (r)−∨l 6=j

i−ϕ(Il)

(rs) ≥ 0, i+I (r)−∨l 6=j

i+ϕ(Il)

(rs) ≥ 0. Hence

i−Iϕj

(rs) ≥ 0 andi+Iϕj

(rs) ≥ 0, for all j. Furthermore,i−Iϕj

(rs) andi+Iϕj

(rs) achieve

maximum value when∨l 6=j

i−ϕ(Il)

(rs) and∨l 6=j

i+ϕ(Il)

(rs) are zero. Obviously, when

ϕ(Ij) = Iu andrs is anIu-edge then∨l 6=j

i−ϕ(Il)

(rs) and∨l 6=j

i+ϕ(Il)

(rs) get zero

value. Hence

[i−Iϕj

(rs), i+Iϕj

(rs)] = [i−I (r) ∧ i−I (s), i+I (r) ∧ i+I (s)], for (rs) ∈ Iu, ϕ(Ij) = Iu.(2. 5)

For expression of falsity membership value:Asf−

I (r)∧f−I (s) ≥ 0, f+

I (r)∧f+I (s) ≥ 0 and

∨l 6=j

f−ϕ(Il)

(rs) ≥ 0,∨l 6=j

f+ϕ(Il)

(rs) ≥

0. Sincef−Ij(rs) ≤ f−

I (r) ∧ f−I (s), f+

Ij(rs) ≤ f+

I (r) ∧ f+I (s), for all Ij . This

implies∨l 6=j

f−ϕ(Il)

(rs) ≤ f−I (r) ∧ f−

I (s) and∨l 6=j

f+ϕ(Il)

(rs) ≤ f+I (r) ∧ f+

I (s). It

shows thatf−I (r)∧f−

I (r)−∨l 6=j

f−ϕ(Il)

(rs) ≥ 0, f+I (r)−

∨l 6=j

f+ϕ(Il)

(rs) ≥ 0. Hence

f−Iϕj

(rs) ≥ 0 andf+Iϕj

(rs) ≥ 0, for all j. Furthermore,f−Iϕj

(rs) andf+Iϕj

(rs) obtain

maximum value when∨l 6=j

f−ϕ(Il)

(rs) and∨l 6=j

f+ϕ(Il)

(rs) are zero. Obviously, when

ϕ(Ij) = Iu andrs is anIu-edge then∨l 6=j

f−ϕ(Il)

(rs) and∨l 6=j

f+ϕ(Il)

(rs) acquire

zero value. Hence

[f−Iϕj

(rs), f+Iϕj

(rs)] = [f−I (r) ∧ f−

I (s), f+I (r) ∧ f+

I (s)], for (rs) ∈ Iu, ϕ(Ij) = Iu.(2. 6)

From expressions (2.4), (2.5) and (2.6), it is clear that

t−j (rs) = min{t−(r), t−(d)}, i−j (rs) = min{i−(r), i−(s)},f−j (rs) = min{f−(−), f−(s)}, t+j (rs) = min{t+(r), t+(s)},i+j (rs) = min{i+(r), i+(s)}, f+

j (rs) = min{f+(r), f+(s)},

HenceGiv is a strongIV NGS and all Iu-edges in IVNGS(I, I1, I2, . . . , It)becomeIϕj -edges in(I, Iϕ1 , I

ϕ2 , . . . , I

ϕt ). �

Definition 2.38. Let Giv = (I, I1, I2, . . . , It) be an IVNGS andϕ be a permuta-tion on{1, 2, . . . , t}. Then

(i) Giv is self complementary IVNGS ifGiv is isomorphic toGϕciv .

(ii) Giv is strong-self complementary IVNGS ifGiv is identical toGϕciv .

Definition 2.39. Let Giv = (I, I1, I2, . . . , It) be an IVNGS. Then

(i) Giv is totally-self complementary IVNGS ifGiv is isomorphic toGϕciv ,

for all permutationsϕ on{1, 2, . . . , t}.

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134 M. Akram and M. Sitara

(ii) Giv is totally-strong-self complementary IVNGS ifGiv is identical toG

ϕciv , for all permutationsϕ on{1, 2, . . . , t}.

Example 2.40. An IVNGS Giv = (I, I1, I2, I3) shown in Fig. 22 is identical toϕ−complement for all permutationsϕ on set{1, 2, 3}. Hence it is totally-strong-self complementary IVNGS.

b

bb

r 7([0.3,0.4], [0.3,0.4], [0.4,0.5])

r1([0.8, 0.9], [0.4, 0.5], [0.5, 0.6])

I 3([0.3,0.4], [0.3,0.4], [0.5,0.6])

I 3([0.3,0.4], [0.3,0.4], [0.4,0.5])

bbb

b

I1 ([0.3, 0.4], [0.3, 0.4], [0.4, 0.5])

I2 ([0

.5, 0.6], [0

.4, 0.5], [0

.5, 0.6])

r 5([0.3,0.4],[0.4,0.5],[0.5,0.6])

I 2([0.3,0.4],[0.4,0.5],[0.5,0.6])

r 6([0.5,0.6], [0.5,0.6], [0.6,0.7])r

2 ([0.5, 0.6], [0

.5, 0.6], [0

.6, 0.7])

r4 ([0

.5, 0.6], [0

.5, 0.6], [0

.5, 0.6])

I1 ([0.5, 0.6], [0.4, 0.5], [0.5, 0.6])

r3 ([0.3, 0.4], [0.3, 0.4], [0.4, 0.5])

FIGURE 22. Totally-strong-self complementary IVNGS

Theorem 2.41.An IVNGS is totally-self complementary if and only if it is a strongIVNGS.

Proof. Consider a strong IVNGSGiv and permutationϕ on {1,2, . . . , t}. Byproposition 2.37,ϕ-complement of IVNGSGiv = (I, I1, I2, . . . , It) is a strongIVNGS. Moreover, ifϕ−1(u) = j, wherej, u ∈ {1, 2, . . . , t}, then allIu-edgesin IVNGS (I, I1, I2, . . . , It) becomeIϕj -edges in(I, Iϕ1 , I

ϕ2 , . . . , I

ϕt ), this leads

t−Iu(rs)=t−I (r) ∧ t−I (s)=t

−Iϕj

(rs), i−Iu(rs)=i−I (r) ∧ i−I (s)=i

−Iϕj

(rs),

f−Iu(rs)=f−

I (r) ∧ f−I (s)=f−

Iϕj

(rs), t+Iu(rs)=t+I (r) ∧ t+I (s)=t

+Iϕj

(rs),

i+Iu(rs)=i+I (r) ∧ i+I (s)=i

+Iϕj

(rs), f+Iu(rs)=f+

I (r) ∧ f+I (s)=f+

Iϕj

(rs).

Therefore, underf : U → U (identity mapping),Giv andGϕiv are isomorphic

such that:

t−I (r) = t−I (f(r)), i−I (r) = i−I (f(r)), f

−I (r) = f−

I (f(r)),t+I (r) = t+I (f(r)), i

+I (r) = i+I (f(r)), f

+I (r) = f+

I (f(r)).

t−Iu(rs) = t−Iϕj

(f(r)f(s)) = t−Iϕj

(rs), t+Iu(rs) = t+Iϕj

(f(r)f(s)) = t+Iϕj

(rs),

i−Iu(rs) = i−Iϕj

(f(r)f(s)) = i−Iϕj

(rs), i+Iu(rs) = i+Iϕj

(f(r)f(s)) = i+Iϕj

(rs),

f−Iu(rs) = f−

Iϕj

(f(r)f(s)) = f−Iϕj

(rs), f+Iu(rs) = f+

Iϕj

(f(r)f(s)) = f+Iϕj

(rs),

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Interval-Valued Neutrosophic Graph Structures 135

for all rs ∈ Iu, for ϕ−1(u) = j; j, u = 1, 2, . . . , t.This holds for every permutationϕ on {1, 2, . . . , t}. HenceGiv is totally-selfcomplementary IVNGS. Conversely, letGiv is isomorphic toGϕ

iv for each permu-tationϕ on {1, 2, . . . , t}. Moreover, according to the definitions of isomorphismof IVNGSs andϕ-complement of an IVNGS

t−Iu(rs) = t−Iϕj

(f(r)f(s)) = t−I (f(r)) ∧ t−I (f(s)) = t−I (r) ∧ t−I (s),

t+Iu(rs) = t+Iϕj

(f(r)f(s)) = t+I (f(r)) ∧ t+I (f(s)) = t+I (r) ∧ t+I (s),

i−Iu(rs) = i−Iϕj

(f(r)f(s)) = i−I (f(r)) ∧ i−I (f(s)) = i−I (r) ∧ i−I (s),

i+Iu(rs) = i+Iϕj

(f(r)f(s)) = i+I (f(r)) ∧ i+I (f(s)) = i+I (r) ∧ i+I (s),

f−Iu(rs) = f−

Iϕj

(f(r)f(s)) = f−I (f(r)) ∧ f−

I (f(s)) = f−I (r) ∧ f−

I (s),

f+Iu(rs) = f+

Iϕj

(f(r)f(s)) = f+I (f(r)) ∧ f+

I (f(s)) = f+I (r) ∧ f+

I (s),

for all rs ∈ Iu, u = 1, 2, . . . , t. HenceGiv is a strong IVNGS. �

Remark. Every self complementary IVNGS is totally-self complementary.

Theorem 2.42. If G = (U,R1, R2, . . . , Rt) is a totally-strong-self complemen-tary graph structure andI = ([t−I , t

+I ], [i

−I , i

+I ], [f

−I , f+

I ]) is an IVN subset ofU wheret−I , i−I , f

−I , t+I , i

+I , f

+I

are constant functions, then every strong IVNGS ofG with IVN vertex setI is atotally-strong-self complementary IVNGS.

Proof. Let a, a′ ∈ [0, 1], b, b′ ∈ [0, 1] andc, c′ ∈ [0, 1] be six constants and

t−I (r) = a, i−I (r) = b, f−I (r) = c, t+I (r) = a′, i+I (r) = b′, f+

I (r) = c′,for all r ∈ U .

SinceG is a totally-strong-self complementary GS, so for every permutationϕ−1

on{1, 2, . . . , t} there is a bijectionf : U → U , such that for everyIu−edge(rs),

(f(r)f(s)) [anIj -edge inG ] is anIu-edge inGsϕ−1c. Thus for everyIu-edge(rs),

(f(r)f(s)) [an Ij -edge inGiv ] is anIϕu -edge inGivϕ−1c

.Moreover,Giv is a strong IVNGS, so

t−I (r) = a = t−I (f(r)), i−I (r) = b = i−I (f(r)), f

−I (r) = c = f−

I (f(r)),t+I (r) = a′ = t+I (f(r)), i

+I (r) = b′ = i+I (f(r)), f

+I (r) = c′ = f+

I (f(r)),

for all r ∈ U , and

t−Iu(rs) = t−I (r) ∧ t−I (s) = t−I (f(r)) ∧ t−I (f(s)) = t−Iϕj

(f(r)f(s)),

i−Iu(rs) = i−I (r) ∧ i−I (s) = i−I (f(r)) ∧ i−I (f(s)) = i−Iϕj

(f(r)f(s)),

f−Iu(rs) = f−

I (r) ∧ i−I (s) = f−I (f(r)) ∧ f−

I (f(s)) = f−Iϕj

(f(r)f(s)),

t+Iu(rs) = t+I (r) ∧ t+I (s) = t+I (f(r)) ∧ t+I (f(s)) = t+Iϕj

(f(r)f(s)),

i+Iu(rs) = i+I (r) ∧ i+I (s) = i+I (f(r)) ∧ i+I (f(s)) = i+Iϕj

(f(r)f(s)),

f+Iu(rs) = f+

I (r) ∧ i+I (s) = f+I (f(r)) ∧ f+

I (f(s)) = f+Iϕj

(f(r)f(s)),

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136 M. Akram and M. Sitara

for all rs ∈ Ij , j = 1, 2, . . . , t.This showsGiv is a strong-self complementary IVNGS. This satisfies for eachpermutationϕ andϕ−1 on set{1, 2, . . . , t}, thusGiv is a totally-strong-self com-plementary IVNGS. This completes the proof. �

Remark. Converse of theorem 2.42 may not true, for example a IVNGS depictedin Fig. 22 is totally-strong-self complementary IVNGS, it is also strong IVNGSwith a totally-strong-self complementary underlying graph structure butt−I , i−I ,f−I ,t+I , i+I , f+

I are not the constant functions.

3. CONCLUSIONS

Interval-valued fuzzy set theory has numerous applications in various fields of sci-ence and technology, including, fuzzy control, artificial intelligence, operationsresearch and decision-making. An interval-valued neutrosophic graph constitutesa generalization of the notion interval-valued fuzzy graph. In this research paper,we have introduced the notion of interval-valued neutrosophic graph structuresand discussed many relevant notions with appropriate examples. We have alsodiscussed some interesting properties of these notions.Conflict of interest. The authors declare that they have no conflict of interest.Acknowledgment. The authors are highly thankful to the referees for their valu-able comments and suggestions.

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