Extended Bonferroni Mean Under Intuitionistic Fuzzy Environment Based on a Strict t-Conorm
暂无分享,去创建一个
[1] Chin-Teng Lin,et al. A New Method for Intuitionistic Fuzzy Multiattribute Decision Making , 2016, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[2] George J. Klir,et al. Fuzzy sets and fuzzy logic - theory and applications , 1995 .
[3] G. Choquet. Theory of capacities , 1954 .
[4] Humberto Bustince,et al. Generation of linear orders for intervals by means of aggregation functions , 2013, Fuzzy Sets Syst..
[5] Zeshui Xu,et al. Geometric Bonferroni means with their application in multi-criteria decision making , 2013, Knowl. Based Syst..
[6] Shu-Ping Wan,et al. Power Average of Trapezoidal Intuitionistic Fuzzy Numbers Using Strict t-Norms and t-Conorms , 2016, IEEE Transactions on Fuzzy Systems.
[7] Gang Kou,et al. A cosine maximization method for the priority vector derivation in AHP , 2014, Eur. J. Oper. Res..
[8] Hongchun Sun. Generalized Bonferroni Harmonic Mean Operators and Their Application to Multiple Attribute Decision Making , 2012 .
[9] Haifang Cheng,et al. Solving fuzzy multi-objective linear programming problems using deviation degree measures and weighted max–min method , 2013 .
[10] Zeshui Xu,et al. Intuitionistic preference relations and their application in group decision making , 2007, Inf. Sci..
[11] Janusz Kacprzyk,et al. Entropy for intuitionistic fuzzy sets , 2001, Fuzzy Sets Syst..
[12] Debashree Guha,et al. Article in Press G Model Applied Soft Computing Partitioned Bonferroni Mean Based on Linguistic 2-tuple for Dealing with Multi-attribute Group Decision Making , 2022 .
[13] Zhou-Jing Wang,et al. An approach to multiattribute decision making with interval-valued intuitionistic fuzzy assessments and incomplete weights , 2009, Inf. Sci..
[14] Ronald R. Yager,et al. Generalized Bonferroni mean operators in multi-criteria aggregation , 2010, Fuzzy Sets Syst..
[15] Zhen He,et al. Extensions of Atanassov's Intuitionistic Fuzzy Interaction Bonferroni Means and Their Application to Multiple-Attribute Decision Making , 2016, IEEE Transactions on Fuzzy Systems.
[16] Masatoshi Sakawa,et al. A fuzzy approach to hierarchical multiobjective programming problems and its application to an industrial pollution control problem , 2009, Fuzzy Sets Syst..
[17] Humberto Bustince,et al. On averaging operators for Atanassov's intuitionistic fuzzy sets , 2011, Inf. Sci..
[18] Radko Mesiar,et al. A Model Based on Linguistic 2-Tuples for Dealing With Heterogeneous Relationship Among Attributes in Multi-expert Decision Making , 2015, IEEE Transactions on Fuzzy Systems.
[19] Richard Bellman,et al. Decision-making in fuzzy environment , 2012 .
[20] Zeshui Xu,et al. Generalized intuitionistic fuzzy Bonferroni means , 2012, Int. J. Intell. Syst..
[21] Gui-Wu Wei,et al. Maximizing deviation method for multiple attribute decision making in intuitionistic fuzzy setting , 2008, Knowl. Based Syst..
[22] Glad Deschrijver,et al. A representation of t-norms in interval-valued L-fuzzy set theory , 2008, Fuzzy Sets Syst..
[23] Dejian Yu,et al. Generalized Hesitant Fuzzy Bonferroni Mean and Its Application in Multi-criteria Group Decision Making ⋆ , 2012 .
[24] Ronald R. Yager,et al. On ordered weighted averaging aggregation operators in multicriteria decision-making , 1988 .
[25] R. K. Ursem. Multi-objective Optimization using Evolutionary Algorithms , 2009 .
[26] Jin Han Park,et al. Generalized Fuzzy Bonferroni Harmonic Mean Operators and Their Applications in Group Decision Making , 2013, J. Appl. Math..
[27] 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.
[28] Ronald R. Yager,et al. On ordered weighted averaging aggregation operators in multicriteria decisionmaking , 1988, IEEE Trans. Syst. Man Cybern..
[29] Janusz Kacprzyk,et al. How to measure the amount of knowledge conveyed by Atanassov's intuitionistic fuzzy sets , 2014, Inf. Sci..
[30] Gleb Beliakov,et al. On extending generalized Bonferroni means to Atanassov orthopairs in decision making contexts , 2013, Fuzzy Sets Syst..
[31] H. Zimmermann. Fuzzy programming and linear programming with several objective functions , 1978 .
[32] Ying-Ming Wang,et al. Two new approaches for assessing the weights of fuzzy opinions in group decision analysis , 2006, Inf. Sci..
[33] Carlo Bonferroni. Sulle medie multiple di potenze , 1950 .
[34] Zeshui Xu,et al. Intuitionistic Fuzzy Bonferroni Means , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[35] Shyi-Ming Chen,et al. A new method for fuzzy multiple attributes group decision making based on interval type-2 fuzzy sets and the TOPSIS method , 2014, 2014 International Conference on Machine Learning and Cybernetics.
[36] Radko Mesiar,et al. A Generalization of the Bonferroni Mean based on partitions , 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).
[37] Zeshui Xu,et al. Some issues on intuitionistic fuzzy aggregation operators based on Archimedean t-conorm and t-norm , 2012, Knowl. Based Syst..
[38] Krassimir T. Atanassov,et al. Intuitionistic fuzzy sets , 1986 .
[39] Brian J. Sauser,et al. Multiobjective Optimization in Multifunction Multicapability System Development Planning , 2013, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[40] Amit Konar,et al. General and Interval Type-2 Fuzzy Face-Space Approach to Emotion Recognition , 2013, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[41] Na Hu,et al. Multi-attribute group decision making method based on geometric Bonferroni mean operator of trapezoidal interval type-2 fuzzy numbers , 2015, Comput. Ind. Eng..
[42] Wei Zhou,et al. Intuitionistic Fuzzy Normalized Weighted Bonferroni Mean and Its Application in Multicriteria Decision Making , 2012, J. Appl. Math..
[43] Robert LIN,et al. NOTE ON FUZZY SETS , 2014 .
[44] Debjani Chakraborty,et al. Multi-objective optimization problem under fuzzy rule constraints using particle swarm optimization , 2015, Soft Computing.