Measuring incompatibility between Atanassov's intuitionistic fuzzy sets

The aim of this paper is to establish an axiomatic definition of incompatibility measure in the framework of Atanassov's intuitionistic fuzzy sets and use geometrical methods to build some families of such incompatibility measures. First, we construct several functions to measure incompatibility for an intuitionistic t-norm that can be represented by an adequate t-norm and t-conorm. Additionally, we establish some relations between some particular cases of these functions. Similarly, we then obtain incompatibility measures for a family of non-representable intuitionistic t-norms.

[1]  M. J. Frank,et al.  Associative Functions: Triangular Norms And Copulas , 2006 .

[2]  Janusz Kacprzyk,et al.  A New Similarity Measure for Intuitionistic Fuzzy Sets: Straightforward Approaches may not work , 2007, 2007 IEEE International Fuzzy Systems Conference.

[3]  Zeshui Xu,et al.  Intuitionistic preference relations and their application in group decision making , 2007, Inf. Sci..

[4]  Janusz Kacprzyk,et al.  Entropy for intuitionistic fuzzy sets , 2001, Fuzzy Sets Syst..

[5]  Chris Cornelis,et al.  INTUITIONISTIC FUZZY CONNECTIVES REVISITED , 2002 .

[6]  Janusz Kacprzyk,et al.  Distances between intuitionistic fuzzy sets , 2000, Fuzzy Sets Syst..

[7]  Marc Roubens,et al.  Fuzzy Preference Modelling and Multicriteria Decision Support , 1994, Theory and Decision Library.

[8]  Anna Pankowska,et al.  General IF-sets with triangular norms and their applications to group decision making , 2006, Inf. Sci..

[9]  Chris Cornelis,et al.  The compositional rule of inference in an intuitionistic fuzzy logic setting , 2001 .

[10]  Janusz Kacprzyk,et al.  Using intuitionistic fuzzy sets in group decision making , 2002 .

[11]  Etienne E. Kerre,et al.  On the position of intuitionistic fuzzy set theory in the framework of theories modelling imprecision , 2007, Inf. Sci..

[12]  Miin-Shen Yang,et al.  On the J-divergence of intuitionistic fuzzy sets with its application to pattern recognition , 2008, Inf. Sci..

[13]  Humberto Bustince,et al.  On the relevance of some families of fuzzy sets , 2007, Fuzzy Sets Syst..

[14]  Enric Trillas On negation functions in the theory of fuzzy sets. , 1979 .

[15]  Radko Mesiar,et al.  Triangular Norms , 2000, Trends in Logic.

[16]  Francisco Herrera,et al.  Fuzzy Sets and Their Extensions: Representation, Aggregation and Models , 2008 .

[17]  Zeshui Xu,et al.  Clustering algorithm for intuitionistic fuzzy sets , 2008, Inf. Sci..

[18]  J. Montero,et al.  The underlying structure in Atanassov's IFS , 2008 .

[19]  George J. Klir,et al.  Fuzzy sets and fuzzy logic , 1995 .

[20]  Ioannis K. Vlachos,et al.  Intuitionistic fuzzy information - Applications to pattern recognition , 2007, Pattern Recognit. Lett..

[21]  Zhou-Jing Wang,et al.  An approach to multiattribute decision making with interval-valued intuitionistic fuzzy assessments and incomplete weights , 2009, Inf. Sci..

[22]  J. Goguen L-fuzzy sets , 1967 .

[23]  J. Aczél,et al.  Lectures on Functional Equations and Their Applications , 1968 .

[24]  Berthold Schweizer,et al.  Probabilistic Metric Spaces , 2011 .

[25]  George J. Klir,et al.  Fuzzy sets and fuzzy logic - theory and applications , 1995 .

[26]  S. Cubillo,et al.  ON THE INCOMPATIBILITY BETWEEN TWO AIFS , 2008, CDC 2008.

[27]  Krassimir T. Atanassov,et al.  Intuitionistic fuzzy sets , 1986 .

[28]  Chris Cornelis,et al.  On the representation of intuitionistic fuzzy t-norms and t-conorms , 2004, IEEE Transactions on Fuzzy Systems.