A new method to measure the knowledge amount of Atanassov’s intuitionistic fuzzy sets

It is of great significance to measure the knowledge amount conveyed by Atanassov’s intuitionistic fuzzy sets (AIFSs). Many efforts have been done to define a suitable knowledge measure for AIFSs, or uncertainty measure, named as a dual measure of knowledge measure. However, many of these measures are developed from the view of point of intuitionistic fuzzy entropy, which cannot well reflect the knowledge amount associated with an AIFS. Other knowledge measures developed based on the difference between an AIFS and its complement may lead to information loss in the scenario of decision making. This paper proposed a new knowledge measure for AIFSs. The axiomatic definition of knowledge measure is extended to a more general level. The properties of the new developed knowledge measure are investigated through mathematical analysis and numerical examples. Further discussion on the relation between knowledge measure and entropy measure is proposed to clear up the relation and distinction between them.

[1]  Pei Wang,et al.  Entropy, similarity measure of interval-valued intuitionistic fuzzy sets and their applications , 2011, Inf. Sci..

[2]  Yafei Song,et al.  A new approach to construct similarity measure for intuitionistic fuzzy sets , 2019, Soft Comput..

[3]  Satyajit Das,et al.  Weight computation of criteria in a decision-making problem by knowledge measure with intuitionistic fuzzy set and interval-valued intuitionistic fuzzy set , 2016, 2014 International Conference on Soft Computing and Machine Intelligence.

[4]  Ronald R. Yager An intuitionistic view of the Dempster–Shafer belief structure , 2014, Soft Comput..

[5]  George A. Papakostas,et al.  Distance and similarity measures between intuitionistic fuzzy sets: A comparative analysis from a pattern recognition point of view , 2013, Pattern Recognit. Lett..

[6]  Wenyi Zeng,et al.  The relationship between similarity measure and entropy of intuitionistic fuzzy sets , 2012, Inf. Sci..

[7]  Claude E. Shannon,et al.  The mathematical theory of communication , 1950 .

[8]  Sheng-Yi Jiang,et al.  A note on information entropy measures for vague sets and its applications , 2008, Inf. Sci..

[9]  Settimo Termini,et al.  A Definition of a Nonprobabilistic Entropy in the Setting of Fuzzy Sets Theory , 1972, Inf. Control..

[10]  Zeshui Xu,et al.  Some geometric aggregation operators based on intuitionistic fuzzy sets , 2006, Int. J. Gen. Syst..

[11]  Jun Ye Multicriteria fuzzy decision-making method using entropy weights-based correlation coefficients of interval-valued intuitionistic fuzzy sets , 2010 .

[12]  Radko Mesiar,et al.  Extended Bonferroni Mean Under Intuitionistic Fuzzy Environment Based on a Strict t-Conorm , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[13]  Humberto Bustince,et al.  Uncertainties with Atanassov's intuitionistic fuzzy sets: Fuzziness and lack of knowledge , 2013, Inf. Sci..

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

[15]  Wenyi Zeng,et al.  Relationship between similarity measure and entropy of interval valued fuzzy sets , 2006, Fuzzy Sets Syst..

[16]  Shyi-Ming Chen,et al.  A novel similarity measure between Atanassov's intuitionistic fuzzy sets based on transformation techniques with applications to pattern recognition , 2015, Inf. Sci..

[17]  Jun Ye,et al.  Fuzzy decision-making method based on the weighted correlation coefficient under intuitionistic fuzzy environment , 2010, Eur. J. Oper. Res..

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

[19]  Quan Pan,et al.  Classifier Fusion With Contextual Reliability Evaluation , 2018, IEEE Transactions on Cybernetics.

[20]  R. Yager ON THE MEASURE OF FUZZINESS AND NEGATION Part I: Membership in the Unit Interval , 1979 .

[21]  Changlin Mei,et al.  Entropy of interval-valued fuzzy sets based on distance and its relationship with similarity measure , 2009, Knowl. Based Syst..

[22]  Miin-Shen Yang,et al.  Fuzzy entropy on intuitionistic fuzzy sets , 2006, Int. J. Intell. Syst..

[23]  Janusz Kacprzyk,et al.  How to measure the amount of knowledge conveyed by Atanassov's intuitionistic fuzzy sets , 2014, Inf. Sci..

[24]  Yafei Song,et al.  Uncertainty measure in evidence theory with its applications , 2017, Applied Intelligence.

[25]  Yafei Song,et al.  Sensor dynamic reliability evaluation based on evidence theory and intuitionistic fuzzy sets , 2018, Applied Intelligence.

[26]  K. Atanassov More on intuitionistic fuzzy sets , 1989 .

[27]  Junjun Mao,et al.  A novel cross-entropy and entropy measures of IFSs and their applications , 2013, Knowl. Based Syst..

[28]  Zeshui Xu,et al.  Entropy/cross entropy-based group decision making under intuitionistic fuzzy environment , 2012, Inf. Fusion.

[29]  Krassimir T. Atanassov,et al.  On Intuitionistic Fuzzy Sets Theory , 2012, Studies in Fuzziness and Soft Computing.

[30]  Yafei Song,et al.  An evidential view of similarity measure for Atanassov's intuitionistic fuzzy sets , 2016, J. Intell. Fuzzy Syst..

[31]  Radko Mesiar,et al.  Information Measures in the Intuitionistic Fuzzy Framework and Their Relationships , 2018, IEEE Transactions on Fuzzy Systems.

[32]  Satyajit Das,et al.  Medical diagnosis with the aid of using fuzzy logic and intuitionistic fuzzy logic , 2016, Applied Intelligence.

[33]  K. Atanassov New operations defined over the intuitionistic fuzzy sets , 1994 .

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

[35]  Yafei Song,et al.  Divergence-based cross entropy and uncertainty measures of Atanassov's intuitionistic fuzzy sets with their application in decision making , 2019, Appl. Soft Comput..

[36]  Dug Hun Hong,et al.  Multicriteria fuzzy decision-making problems based on vague set theory , 2000, Fuzzy Sets Syst..

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

[38]  Lin Zhang,et al.  Combining Evidence Sources in Time Domain With Decision Maker’s Preference on Time Sequence , 2019, IEEE Access.

[39]  Ranjit Biswas,et al.  Some operations on intuitionistic fuzzy sets , 2000, Fuzzy Sets Syst..

[40]  Quan Pan,et al.  Combination of Classifiers With Optimal Weight Based on Evidential Reasoning , 2018, IEEE Transactions on Fuzzy Systems.

[41]  Sang Joon Kim,et al.  A Mathematical Theory of Communication , 2006 .

[42]  Shyi-Ming Chen,et al.  Handling multicriteria fuzzy decision-making problems based on vague set theory , 1994 .

[43]  Hoang Nguyen,et al.  A new knowledge-based measure for intuitionistic fuzzy sets and its application in multiple attribute group decision making , 2015, Expert Syst. Appl..

[44]  Robert LIN,et al.  NOTE ON FUZZY SETS , 2014 .