Group decision with inconsistent knowledge

In this paper, dual exponential possibility distributions, namely, upper and lower exponential possibility distributions, are identified from the given data to characterize a decision-maker's knowledge. A decision group's knowledge can be represented by a set of such dual possibility distributions. The inherent diversity of knowledge among decision-makers is characterized by a conflict index. A conflict resolution model is proposed based on the conflict index, which integrates multiple possibility distributions identified into a new one to represent compromised knowledge of a decision group. As an application, a portfolio selection problem with multiple decision-makers is considered.

[1]  Dao-Zhi Zeng,et al.  Mark-Choose-Cut Algorithms For Fair And Strongly Fair Division , 1999 .

[2]  Zdzislaw Pawlak,et al.  An Inquiry into Anatomy of Conflicts , 1998, Inf. Sci..

[3]  Charles Leake Interactive Decision Making: The Graph Model for Conflict Resolution , 1993 .

[4]  D. Dubois,et al.  Possibility theory and data fusion in poorly informed environments , 1994 .

[5]  Peijun Guo,et al.  Portfolio selection based on fuzzy probabilities and possibility distributions , 2000, Fuzzy Sets Syst..

[6]  Peijun Guo,et al.  Portfolio selection based on upper and lower exponential possibility distributions , 1999, Eur. J. Oper. Res..

[7]  Hideo Tanaka,et al.  POSSIBILISTIC DATA ANALYSIS AND ITS APPLICATION TO PORTFOLIO SELECTION PROBLEMS , 1998 .

[8]  H. Tanaka,et al.  Information fusion based on exponential possibility distributions , 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).

[9]  Didier Dubois,et al.  An Introductory Survey of Possibility Theory and Its Recent Developments , 1998 .

[10]  D. Gale,et al.  Fair Allocation of Indivisible Goods and Criteria of Justice , 1991 .

[11]  郭 沛俊 Mathematical approaches to knowledge representation, fusion and decision based on possibility theory , 2000 .

[12]  Hideo Tanaka,et al.  Possibilistic Data Analysis for Operations Research , 1999 .

[13]  Steven J. Brams,et al.  Fair division - from cake-cutting to dispute resolution , 1998 .

[14]  Tom Gilb,et al.  Interactive Decision Making: The Graph Model for Conflict Resolution , 1994 .

[15]  Ronald R. Yager,et al.  Fusion of fuzzy information with considerations for compatibility, partial aggregation, and reinforcement , 1996, Int. J. Approx. Reason..

[16]  Toshihide Ibaraki,et al.  Double-offer arbitration , 1996 .

[17]  Hisao Ishibuchi,et al.  Evidence theory of exponential possibility distributions , 1993, Int. J. Approx. Reason..

[18]  D. Lutz,et al.  Paradoxes of Rationality: Theory of Metagames and Political Behavior , 1973 .

[19]  Peijun Guo,et al.  Upper and lower possibility distributions of fuzzy decision variables in upper level decision problems , 2000, Fuzzy Sets Syst..

[20]  Peijun Guo,et al.  Decision analysis based on fused double exponential possibility distributions , 2003, Eur. J. Oper. Res..

[21]  Ronald R. Yager,et al.  On ordered weighted averaging aggregation operators in multicriteria decisionmaking , 1988, IEEE Trans. Syst. Man Cybern..

[22]  Judea Pearl,et al.  Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.

[23]  Ronald R. Yager,et al.  On ordered weighted averaging aggregation operators in multicriteria decision-making , 1988 .

[24]  Masahiro Inuiguchi,et al.  Self-organizing fuzzy aggregation models to rank the objects with multiple attributes , 2000, IEEE Trans. Syst. Man Cybern. Part A.

[25]  Glenn Shafer,et al.  A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.

[26]  Zdzislaw Pawlak,et al.  On Conflicts , 1984, Int. J. Man Mach. Stud..

[27]  E. Rowland Theory of Games and Economic Behavior , 1946, Nature.