The interval-valued intuitionistic fuzzy geometric choquet aggregation operator based on the generalized banzhaf index and 2-additive measure

Based on the operational laws on interval-valued intuitionistic fuzzy sets, the generalized Banzhaf interval-valued intuitionistic fuzzy geometric Choquet (GBIVIFGC) operator is proposed, which is also an interval-valued intuitionistic fuzzy value. It is worth pointing out that the GBIVIFGC operator can be seen as an extension of some geometric mean operators. Since the fuzzy measure is defined on the power set, it makes the problem exponentially complex. In order to overall reflect the interaction among elements and reduce the complexity of solving a fuzzy measure, we further introduce the GBIVIFGC operator w.r.t. 2-additive measures. Furthermore, if the information about weights of experts and attributes is incompletely known, the models of obtaining the optimal 2-additive measures on criteria set and expert set are given by using the introduced cross entropy measure and the Banzhaf index. Finally, an approach to pattern recognition and multi-criteria group decision making under interval-valued intuitionistic fuzzy environment is developed, respectively.

[1]  Huimin Zhang,et al.  MADM method based on cross-entropy and extended TOPSIS with interval-valued intuitionistic fuzzy sets , 2012, Knowl. Based Syst..

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

[3]  Chunqiao Tan,et al.  Group decision making with linguistic preference relations with application to supplier selection , 2011, Expert Syst. Appl..

[4]  Zhongliang Yue,et al.  Deriving decision maker's weights based on distance measure for interval-valued intuitionistic fuzzy group decision making , 2011, Expert Syst. Appl..

[5]  Xiaohong Chen,et al.  Induced intuitionistic fuzzy Choquet integral operator for multicriteria decision making , 2011, Int. J. Intell. Syst..

[6]  Deng-Feng Li,et al.  Closeness coefficient based nonlinear programming method for interval-valued intuitionistic fuzzy multiattribute decision making with incomplete preference information , 2011, Appl. Soft Comput..

[7]  Ting-Yu Chen,et al.  A multicriteria group decision-making approach based on interval-valued intuitionistic fuzzy sets: A comparative perspective , 2011, Expert Syst. Appl..

[8]  V. Lakshmana Gomathi Nayagam,et al.  Ranking of interval-valued intuitionistic fuzzy sets , 2011, Appl. Soft Comput..

[9]  J. H. Park,et al.  Extension of the TOPSIS method for decision making problems under interval-valued intuitionistic fuzzy environment , 2011 .

[10]  Jun Ye,et al.  Fuzzy cross entropy of interval-valued intuitionistic fuzzy sets and its optimal decision-making method based on the weights of alternatives , 2011, Expert Syst. Appl..

[11]  Chunqiao Tan,et al.  Generalized intuitionistic fuzzy geometric aggregation operator and its application to multi-criteria group decision making , 2011, Soft Comput..

[12]  Chunqiao Tan,et al.  A multi-criteria interval-valued intuitionistic fuzzy group decision making with Choquet integral-based TOPSIS , 2011, Expert Syst. Appl..

[13]  Deng-Feng Li,et al.  Extension principles for interval-valued intuitionistic fuzzy sets and algebraic operations , 2011, Fuzzy Optim. Decis. Mak..

[14]  Jian-qiang Wang,et al.  Multi-criteria fuzzy decision-making method based on cross entropy and score functions , 2011, Expert Syst. Appl..

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

[16]  Zeshui Xu,et al.  Recent advances in intuitionistic fuzzy information aggregation , 2010, Fuzzy Optim. Decis. Mak..

[17]  Ting-Yu Chen,et al.  Determining objective weights with intuitionistic fuzzy entropy measures: A comparative analysis , 2010, Inf. Sci..

[18]  Zeshui Xu,et al.  Nonlinear optimization models for multiple attribute group decision making with intuitionistic fuzzy information , 2010, Int. J. Intell. Syst..

[19]  Deng-Feng Li,et al.  TOPSIS-Based Nonlinear-Programming Methodology for Multiattribute Decision Making With Interval-Valued Intuitionistic Fuzzy Sets , 2010, IEEE Transactions on Fuzzy Systems.

[20]  Zeshui Xu,et al.  Projection Models for Intuitionistic Fuzzy Multiple Attribute Decision Making , 2010, Int. J. Inf. Technol. Decis. Mak..

[21]  Zeshui Xu,et al.  Choquet integrals of weighted intuitionistic fuzzy information , 2010, Inf. Sci..

[22]  Xiaohong Chen,et al.  Induced choquet ordered averaging operator and its application to group decision making , 2010, Int. J. Intell. Syst..

[23]  Xiaohong Chen,et al.  Intuitionistic fuzzy Choquet integral operator for multi-criteria decision making , 2010, Expert Syst. Appl..

[24]  Ju Wang,et al.  Reasoning within intuitionistic fuzzy rough description logics , 2009, Inf. Sci..

[25]  Ping Wang,et al.  QoS-aware web services selection with intuitionistic fuzzy set under consumer's vague perception , 2009, Expert Syst. Appl..

[26]  Ronald R. Yager,et al.  Some aspects of intuitionistic fuzzy sets , 2009, Fuzzy Optim. Decis. Mak..

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

[28]  Zeshui Xu,et al.  Dynamic intuitionistic fuzzy multi-attribute decision making , 2008, Int. J. Approx. Reason..

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

[30]  Michel Grabisch,et al.  A decade of application of the Choquet and Sugeno integrals in multi-criteria decision aid , 2010, Ann. Oper. Res..

[31]  Francisco Herrera,et al.  Fuzzy Sets and Their Extensions: Representation, Aggregation and Models - Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision , 2007, Fuzzy Sets and Their Extensions: Representation, Aggregation and Models.

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

[33]  Zeshui Xu,et al.  Intuitionistic Fuzzy Aggregation Operators , 2007, IEEE Transactions on Fuzzy Systems.

[34]  Zeshui Xu,et al.  On Geometric Aggregation over Interval-Valued Intuitionistic Fuzzy Information , 2007, Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007).

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

[36]  Z. Xu,et al.  Methods for aggregating interval-valued intuitionistic fuzzy information and their application to decision making , 2007 .

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

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

[39]  Ivan Kojadinovic,et al.  An axiomatic approach to the measurement of the amount of interaction among criteria or players , 2005, Fuzzy Sets Syst..

[40]  Ronald R. Yager,et al.  Induced aggregation operators , 2003, Fuzzy Sets Syst..

[41]  Christophe Labreuche,et al.  The Choquet integral for the aggregation of interval scales in multicriteria decision making , 2003, Fuzzy Sets Syst..

[42]  Ivan Kojadinovic,et al.  Modeling interaction phenomena using fuzzy measures: on the notions of interaction and independence , 2003, Fuzzy Sets Syst..

[43]  Michel Grabisch,et al.  p-Symmetric Fuzzy Measures , 2002, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[44]  Ranjit Biswas,et al.  An application of intuitionistic fuzzy sets in medical diagnosis , 2001, Fuzzy Sets Syst..

[45]  C. E. SHANNON,et al.  A mathematical theory of communication , 1948, MOCO.

[46]  Jean-Luc Marichal,et al.  The influence of variables on pseudo-Boolean functions with applications to game theory and multicriteria decision making , 2000, Discret. Appl. Math..

[47]  M. Sugeno,et al.  Fuzzy Measures and Integrals: Theory and Applications , 2000 .

[48]  Michel Grabisch,et al.  An axiomatic approach to the concept of interaction among players in cooperative games , 1999, Int. J. Game Theory.

[49]  Krassimir T. Atanassov,et al.  Intuitionistic Fuzzy Sets - Theory and Applications , 1999, Studies in Fuzziness and Soft Computing.

[50]  Michel Grabisch,et al.  K-order Additive Discrete Fuzzy Measures and Their Representation , 1997, Fuzzy Sets Syst..

[51]  Xiu-Gang Shang,et al.  A note on fuzzy information measures , 1997, Pattern Recognit. Lett..

[52]  M. Grabisch The application of fuzzy integrals in multicriteria decision making , 1996 .

[53]  M. Grabisch Fuzzy integral in multicriteria decision making , 1995 .

[54]  K. Atanassov Operators over interval valued intuitionistic fuzzy sets , 1994 .

[55]  Didier Dubois,et al.  Possibility Theory - An Approach to Computerized Processing of Uncertainty , 1988 .

[56]  R. Church,et al.  Theoretical links between median and coverage location problems , 1986 .

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

[58]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[59]  G. Choquet Theory of capacities , 1954 .

[60]  R. A. Leibler,et al.  On Information and Sufficiency , 1951 .