Group decision making and consensus under fuzzy preferences and fuzzy majority

Fuzzy Sets and Systems - Tập 49 - Trang 21-31 - 1992
Janusz Kacprzyk1
1Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

Tài liệu tham khảo

Aizerman, 1985, New problems in the general choice theory, Soc. Choice Welf., 2, 235, 10.1007/BF00292690 Blin, 1973, Fuzzy sets and social choice, J. Cybernet., 4, 17 Fedrizzi, 1986, Group decisions and consensus: A model using fuzzy sets theory (in Italian), Rivista Scienze Econ. Soc. A, 9, 12 Fedrizzi, 1988, On measuring consensus in the setting of fuzzy preference relations, 129 Fedrizzi, 1988, An interactive multi-user decision support system for consensus reaching processes using fuzzy logic with linguistic quantifiers, Decision Support Systems, 4, 313, 10.1016/0167-9236(88)90019-X Kacprzyk, 1984, Collective decision making with a fuzzy majority rule, 153 Kacprzyk, 1985, Zadeh's commonsense knowledge and its use in multicriteria, multistage and multiperson decision making, 105 Kacprzyk, 1985, Some ‘commonsense’ solution concepts in group decision making via fuzzy linguistic quantifiers, 125 Kacprzyk, 1985, Group decision-making with a fuzzy majority via linguistic quantifiers, Part I: A consensory-like pooling; Part II: A competitive-like pooling, Cybernet. and Systems, 16, 119, 10.1080/01969728508927761 Kacprzyk, 1985, Group decision-making with a fuzzy majority via linguistic quantifiers, Part I: A consensory-like pooling; Part II: A competitive-like pooling, Cybernet. and Systems, 16, 131, 10.1080/01969728508927762 Kacprzyk, 1986, Group decision making with a fuzzy linguistic majority, Fuzzy Sets and Systems, 18, 105, 10.1016/0165-0114(86)90014-X Kacprzyk, 1986, Towards an algorithmic/procedural ‘human consistency’ of decision support systems: A fuzzy logic approach, 101 Kacprzyk, 1987, On some fuzzy cores and ‘soft’ consensus measures in group decision making, Vol. 2, 119 Kacprzyk, 1987, Towards ‘human consistent’ decision support systems through commonsense-knowledge-based decision making and control models: A fuzzy logic approach, Comput. Artificial Intelligence, 6, 97 Kacprzyk, 1986, ‘Soft’ consensus measures for monitoring real consensus reaching processes under fuzzy preferences, Control Cybernet., 15, 309 Kacprzyk, 1988, A ‘soft’ measure of consensus in the setting of partial (fuzzy) preferences, European J. Oper. Res., 34, 315, 10.1016/0377-2217(88)90152-X Kacprzyk, 1989, A ‘human-consistent’ degree of consensus based on fuzzy logic with linguistic quantifiers, Math. Social Sci., 18, 275, 10.1016/0165-4896(89)90035-8 1990 Kacprzyk, 1990, Group decision making with fuzzy majorities represented by linguistic quantifiers, 126 Kacprzyk, 1992, Fuzzy logic with linguistic quantifiers in group decision making and consensus formation, 263 Kacprzyk, 1989, Linguistic quantifiers and fuzzy majorities for more realistic and human-consistent group decision making, 267 1988 Kacprzyk, 1984, Linguistic quantifiers and belief qualification in fuzzy multicriteria and multistage decision making, Control Cybernet., 13, 155 Kacprzyk, 1984, ‘Softer’ optimization and control models via fuzzy linguistic quantifiers, Inform. Sci., 34, 157, 10.1016/0020-0255(84)90022-7 Kacprzyk, 1990, Using fuzzy logic with linguistic quantifiers in multiobjective decision making and optimization: A step towards more human-consistent models, 331 Kacprzyk, 1988, An interactive user-friendly decision support system for consensus reaching based on fuzzy logic with linguistic quantifiers, 307 Kahneman, 1979, Prospect theory: An analysis of decision under risk, Econometrica, 47, 263, 10.2307/1914185 Loewer, 1985, Destroying the consensus, 62, 79 Machina, 1982, Expected utility analysis without the independence axiom, Econometrica, 50, 277, 10.2307/1912631 Nurmi, 1981, Approaches to collective decision making with fuzzy preference relations, Fuzzy Sets and Systems, 6, 249, 10.1016/0165-0114(81)90003-8 Nurmi, 1982, Imprecise notions in individual and group decision theory: Resolution of Allais' paradox and related problems, Stochastica, 6, 283 Nurmi, 1983, Voting procedures: A summary analysis, British J. Political Sci., 13, 181, 10.1017/S0007123400003215 Nurmi, 1987 Nurmi, 1988, Assumptions on individual preferences in the theory of voting procedures, 142 Nurmi, 1990, Vague notion in the theory of voting, 43 Nurmi, 1991, On fuzzy tournaments and their solution concepts in group decision making, European J. Oper. Res., 51, 223, 10.1016/0377-2217(91)90252-Q Ponsard, 1981, An application of fuzzy subsets theory to the analysis of the consumer's spatial preferences, Fuzzy Sets and Systems, 5, 235, 10.1016/0165-0114(81)90052-X Ponsard, 1981, L'équilibre du consomateur dans un context imprécis, Sistemi Urbani, 3, 107 Ponsard, 1982, Producer's spatial equilibria with a fuzzy constraint, European J. Oper. Res., 10, 302, 10.1016/0377-2217(82)90229-6 Ponsard, 1982, Partial spatial equilibria with fuzzy constraints, J. Regional Sci., 22, 159, 10.1111/j.1467-9787.1982.tb00742.x Ponsard, 1985, Fuzzy sets in economics: Foundations of soft decision theory, 25 Ponsard, 1988, Fuzzy mathematical models in economics, Fuzzy Sets and Systems, 28, 273, 10.1016/0165-0114(88)90034-6 Tversky, 1986, Rational choice and the framing of decisions, J. of Business, 59, S251, 10.1086/296365 Yager, 1983, Quantifiers in the formulation of multiple objective decision functions, Inform. Sci., 31, 107, 10.1016/0020-0255(83)90029-4 Yager, 1983, Quantified propositions in linguistic logic, Internat. J. Man-Machine Stud., 19, 195, 10.1016/S0020-7373(83)80056-X Yager, 1985, Aggregating evidence using quantified statements, Inform. Sci., 36, 179, 10.1016/0020-0255(85)90030-1 Zadeh, 1983, A computational approach to fuzzy quantifiers in natural languages, Comput. Math. Appl., 9, 149, 10.1016/0898-1221(83)90013-5 Zadeh, 1985, Syllogistic reasoning in fuzzy logic and its application to usuality and reasoning with dispositions, IEEE Trans. Systems Man Cybernet., 175, 754, 10.1109/TSMC.1985.6313459