IEEE Intelligent Systems ‘2010, London, UK On Intuitionistic Fuzzy Negations and Law of Excluded...

22
I E E E I n t e l l i g e n t S y s t e m s 2 0 1 0 , L o n d o On Intuitionistic Fuzzy On Intuitionistic Fuzzy Negations Negations and Law of Excluded and Law of Excluded Middle Middle Krassimir T. Atanassov Krassimir T. Atanassov Centre of Biophysics and Biomedical Engineering (Centre of Biomedical Engineering) Bulgarian Academy of Sciences e-mail: [email protected]

Transcript of IEEE Intelligent Systems ‘2010, London, UK On Intuitionistic Fuzzy Negations and Law of Excluded...

Page 1: IEEE Intelligent Systems ‘2010, London, UK On Intuitionistic Fuzzy Negations and Law of Excluded Middle Krassimir T. Atanassov Centre of Biophysics and.

IEEE In

tellig

en

t Syste

ms ‘2

01

0, L

on

don

, UK

On Intuitionistic Fuzzy On Intuitionistic Fuzzy NegationsNegations

and Law of Excluded and Law of Excluded MiddleMiddleKrassimir T. AtanassovKrassimir T. Atanassov

Centre of Biophysics and Biomedical Engineering(Centre of Biomedical Engineering)

Bulgarian Academy of Sciencese-mail: [email protected]

Page 2: IEEE Intelligent Systems ‘2010, London, UK On Intuitionistic Fuzzy Negations and Law of Excluded Middle Krassimir T. Atanassov Centre of Biophysics and.

IEEE In

tellig

en

t Syste

ms ‘2

01

0, L

on

don

, UK

Introduction

Let x be a variable. Then its intuitionistic fuzzytruth-value is represented by the ordered couple

V (x) = <a, b>so that

a, b, a + b [0; 1]where a and b are degrees of validity and of non-validity of x.

Obviously, when V is an ordinary fuzzy truth-value estimation, for it

b = 1 – a

1/20

Page 3: IEEE Intelligent Systems ‘2010, London, UK On Intuitionistic Fuzzy Negations and Law of Excluded Middle Krassimir T. Atanassov Centre of Biophysics and.

IEEE In

tellig

en

t Syste

ms ‘2

01

0, L

on

don

, UK

Introduction

Everywhere below, we shall assume that for the three variables x; y and z equalities hold:

V (x) = <a, b>V (y) = <c, d>V (z) = <e, f>

where a, b, c, d, e, f, a + b, c + d, e + f [0; 1].

For the needs of the discussion below, we shall define the notion of Intuitionistic Fuzzy Tautology (IFT) by:

x is an IFT, if and only if a b,while x will be a tautology iff a = 1 and b = 0.

Page 4: IEEE Intelligent Systems ‘2010, London, UK On Intuitionistic Fuzzy Negations and Law of Excluded Middle Krassimir T. Atanassov Centre of Biophysics and.

IEEE In

tellig

en

t Syste

ms ‘2

01

0, L

on

don

, UK

Introduction

In some definitions we shall use the functionssg and sg:

Page 5: IEEE Intelligent Systems ‘2010, London, UK On Intuitionistic Fuzzy Negations and Law of Excluded Middle Krassimir T. Atanassov Centre of Biophysics and.

IEEE In

tellig

en

t Syste

ms ‘2

01

0, L

on

don

, UK

Introduction

In ordinary intuitionistic fuzzy logic, the negation of variable x is N(x) such that

V (N(x)) = <b, a>

For two variables x and y, operations conjunction (&) and disjunction ( ) are defined by:

V(x & y) = V(x) & V(y) = < min(a, c), max(b; d)>V(x y) = V(x) V(y) = < max(a, c), min(b; d)>

Page 6: IEEE Intelligent Systems ‘2010, London, UK On Intuitionistic Fuzzy Negations and Law of Excluded Middle Krassimir T. Atanassov Centre of Biophysics and.

IEEE In

tellig

en

t Syste

ms ‘2

01

0, L

on

don

, UK

List of IF implications

Page 7: IEEE Intelligent Systems ‘2010, London, UK On Intuitionistic Fuzzy Negations and Law of Excluded Middle Krassimir T. Atanassov Centre of Biophysics and.

IEEE In

tellig

en

t Syste

ms ‘2

01

0, L

on

don

, UK

List of IF implications

Page 8: IEEE Intelligent Systems ‘2010, London, UK On Intuitionistic Fuzzy Negations and Law of Excluded Middle Krassimir T. Atanassov Centre of Biophysics and.

IEEE In

tellig

en

t Syste

ms ‘2

01

0, L

on

don

, UK

List of respective IF negations

Page 9: IEEE Intelligent Systems ‘2010, London, UK On Intuitionistic Fuzzy Negations and Law of Excluded Middle Krassimir T. Atanassov Centre of Biophysics and.

IEEE In

tellig

en

t Syste

ms ‘2

01

0, L

on

don

, UK

List of respective IF negations

Page 10: IEEE Intelligent Systems ‘2010, London, UK On Intuitionistic Fuzzy Negations and Law of Excluded Middle Krassimir T. Atanassov Centre of Biophysics and.

IEEE In

tellig

en

t Syste

ms ‘2

01

0, L

on

don

, UK

List of respective IF negations

Page 11: IEEE Intelligent Systems ‘2010, London, UK On Intuitionistic Fuzzy Negations and Law of Excluded Middle Krassimir T. Atanassov Centre of Biophysics and.

IEEE In

tellig

en

t Syste

ms ‘2

01

0, L

on

don

, UK

List of respective IF negations

Page 12: IEEE Intelligent Systems ‘2010, London, UK On Intuitionistic Fuzzy Negations and Law of Excluded Middle Krassimir T. Atanassov Centre of Biophysics and.

IEEE In

tellig

en

t Syste

ms ‘2

01

0, L

on

don

, UK

Modified Law of excluded middle

First, we shall give the LEM in the forms:<a, b> <a, b> = <1, 0> (tautology-form)and

<a, b> <a, b> = <p, q> (IFT-form)where 1 p q 0 and p + q 1.

Second, we shall give the Modified Law of Excluded Middle (MLEM) in the forms:

<a, b> <a, b> = <1, 0> (tautology-form)and <a, b> <a, b> = <p, q> (IFT-form)

where 1 p q 0 and p + q 1.

Page 13: IEEE Intelligent Systems ‘2010, London, UK On Intuitionistic Fuzzy Negations and Law of Excluded Middle Krassimir T. Atanassov Centre of Biophysics and.

IEEE In

tellig

en

t Syste

ms ‘2

01

0, L

on

don

, UK

Theorems

Theorem #1: Only negation 13 satisfies the LEM in the tautological form.

Theorem #2: Only negations 2, 5, 9, 11, 13, 16 satisfy the MLEM in the tautological form.

Theorem #3: Only negations 2, 5, 6, 10 do not satisfy the LEM in the IFT form.

Theorem #4: Only negation 10, does not satisfy the MLEM in the IFT form.

Page 14: IEEE Intelligent Systems ‘2010, London, UK On Intuitionistic Fuzzy Negations and Law of Excluded Middle Krassimir T. Atanassov Centre of Biophysics and.

IEEE In

tellig

en

t Syste

ms ‘2

01

0, L

on

don

, UK

Now, on the following table, we will show the

behaviour of the separate negations with respect

to the special constants:

V (true) = <1, 0>

V (false) = <0, 1>

V (full uncertainty) = <0, 0>

Page 15: IEEE Intelligent Systems ‘2010, London, UK On Intuitionistic Fuzzy Negations and Law of Excluded Middle Krassimir T. Atanassov Centre of Biophysics and.

IEEE In

tellig

en

t Syste

ms ‘2

01

0, L

on

don

, UK

Page 16: IEEE Intelligent Systems ‘2010, London, UK On Intuitionistic Fuzzy Negations and Law of Excluded Middle Krassimir T. Atanassov Centre of Biophysics and.

IEEE In

tellig

en

t Syste

ms ‘2

01

0, L

on

don

, UK

Page 17: IEEE Intelligent Systems ‘2010, London, UK On Intuitionistic Fuzzy Negations and Law of Excluded Middle Krassimir T. Atanassov Centre of Biophysics and.

IEEE In

tellig

en

t Syste

ms ‘2

01

0, L

on

don

, UK

Page 18: IEEE Intelligent Systems ‘2010, London, UK On Intuitionistic Fuzzy Negations and Law of Excluded Middle Krassimir T. Atanassov Centre of Biophysics and.

IEEE In

tellig

en

t Syste

ms ‘2

01

0, L

on

don

, UK

The above assertions show that a lot of negations exhibit behaviour that is typical of the intuitionistic logic,but not of the classical logic.

Now, let us return from the intuitionistic fuzzy negations to ordinary fuzzy negations. The result is shownon the following table, where b = 1.

Page 19: IEEE Intelligent Systems ‘2010, London, UK On Intuitionistic Fuzzy Negations and Law of Excluded Middle Krassimir T. Atanassov Centre of Biophysics and.

IEEE In

tellig

en

t Syste

ms ‘2

01

0, L

on

don

, UK

Therefore, from the list of intuitionistic fuzzy negations we can generate a list of fuzzy negations, such that some of them coincide with the standard fuzzy negation 1.

Page 20: IEEE Intelligent Systems ‘2010, London, UK On Intuitionistic Fuzzy Negations and Law of Excluded Middle Krassimir T. Atanassov Centre of Biophysics and.

IEEE In

tellig

en

t Syste

ms ‘2

01

0, L

on

don

, UK

Conclusion

Therefore, there are intuitionistic fuzzy negationsthat lose their properties when they are restrictedto ordinary fuzzy case. In other words, the construction of the intuitionistic fuzzy estimation

<degree of membership/validity,

degree of non-membership/non-validity>

that is specific for the intuitionistic fuzzy sets, causes the intuitionistic behaviour of these sets.

Page 21: IEEE Intelligent Systems ‘2010, London, UK On Intuitionistic Fuzzy Negations and Law of Excluded Middle Krassimir T. Atanassov Centre of Biophysics and.

IEEE In

tellig

en

t Syste

ms ‘2

01

0, L

on

don

, UK

Conclusion

Finally, we must note that in the IFS theory therehave already been defined some other types of intuitionistic fuzzy negations different from the discussed above.

Their behaviour will be studied in a next author's research.

Page 22: IEEE Intelligent Systems ‘2010, London, UK On Intuitionistic Fuzzy Negations and Law of Excluded Middle Krassimir T. Atanassov Centre of Biophysics and.

IEEE In

tellig

en

t Syste

ms ‘2

01

0, L

on

don

, UK

Thank you for your Thank you for your attention!attention!Krassimir T. AtanassovKrassimir T. Atanassov

Centre of Biophysics and Biomedical Engineering(Centre of Biomedical Engineering)

Bulgarian Academy of Sciencese-mail: [email protected]