“Soft” Degrees of Consensus Under Fuzzy Preferences and Fuzzy Majorities
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[1] K. Arrow. Social Choice and Individual Values , 1951 .
[2] Andrew Whinston,et al. Fuzzy Sets and Social Choice , 1973 .
[3] J. Blin. Fuzzy Relations in Group Decision Theory , 1974 .
[4] J. Bezdek,et al. A fuzzy relation space for group decision theory , 1978 .
[5] J. Bezdek,et al. Fuzzy relation spaces for group decision theory: An application , 1979 .
[6] S. Ovchinnikov,et al. Design of group decisions II. In spaces of partial order fuzzy relations , 1980 .
[7] S. Ovchinnikov,et al. Group decisions I. In arbitrary spaces of fuzzy binary relations , 1980 .
[8] H. Nurmi. Approaches to collective decision making with fuzzy preference relations , 1981 .
[9] H. Nurmi. Imprecise notions in individual and group decision theory: Resolutions of Allais paradox and related problems. , 1982 .
[10] H. Nurmi. Voting Procedures: A Summary Analysis , 1983, British Journal of Political Science.
[11] L. Zadeh. A COMPUTATIONAL APPROACH TO FUZZY QUANTIFIERS IN NATURAL LANGUAGES , 1983 .
[12] Ronald R. Yager. Quantifiers in the formulation of multiple objective decision functions , 1983, Inf. Sci..
[13] T. Tanino. Fuzzy preference orderings in group decision making , 1984 .
[14] Janusz Kacprzyk,et al. Management decision support systems using fuzzy sets and possibility theory , 1985 .
[15] M. Aizerman. New problems in the general choice theory , 1985 .
[16] J. Kacprzyk. Group decision-making with a fuzzy majority via linguistic quantifiers. part II: , 1985 .
[17] J. Kacprzyk. Group decision making with a fuzzy linguistic majority , 1986 .
[18] J. Kacprzyk. Towards an Algorithmic/Procedural “Human Consistency” of Decision Support Systems: A Fuzzy Logic Approach , 1986 .
[19] C. R. Barrett,et al. On the structure of fuzzy social welfare functions , 1986 .
[20] J. Kacprzyk. Towards “human-consistent” decision support systems through common sense knowledge-based decision making and control models: a fuzzy logic approach , 1987 .
[21] H. Nurmi. Comparing Voting Systems , 1987 .
[22] James C. Bezdek,et al. Analysis of fuzzy information , 1987 .
[23] H. Nurmi. Assumptions of Individual Preferences in the Theory of Voting Procedures , 1988 .
[24] J. Kacprzyk,et al. On Measuring Consensus in the Setting of Fuzzy Preference Relations , 1988 .
[25] Jerry S. Kelly,et al. Social Choice Theory: An Introduction , 1988 .
[26] Ronald R. Yager,et al. On ordered weighted averaging aggregation operators in multicriteria decisionmaking , 1988, IEEE Trans. Syst. Man Cybern..
[27] Slawomir Zadrozny,et al. An interactive multi-user decision support system for consensus reaching processes using fuzzy logic with linguistic quantifiers , 1988, Decis. Support Syst..
[28] J. Kacprzyk,et al. A ‘soft’ measure of consensus in the setting of partial (fuzzy) preferences , 1988 .
[29] J. Kacprzyk,et al. A `human-consistent' degree of consensus based on fuzzy login with linguistic quantifiers , 1989 .
[30] C. J. Hearne. Non-conventional Preference Relations in Decision Making , 1989 .
[31] Janusz Kacprzyk,et al. Vague Notions in the Theory of Voting , 1990 .
[32] C. R. Barrett,et al. Rationality and aggregation of preferences in an ordinally fuzzy framework , 1992 .
[33] C. R. Barrett,et al. On choosing rationally when preferences are fuzzy , 1990 .
[34] Prasanta K. Pattanaik,et al. Aggregation of Fuzzy Preferences , 1990 .
[35] J. Kacprzyk,et al. Multiperson decision making models using fuzzy sets and possibility theory , 1990 .
[36] Miguel Delgado,et al. Approximate reasoning tools for artificial intelligence , 1990 .
[37] T. Tanino. On Group Decision Making under Fuzzy Preferences , 1990 .
[38] Sergei Ovchinnikov,et al. MEANS AND SOCIAL WELFARE FUNCTION IN FUZZY BINARY RELATION SPACES , 1990 .
[39] J. Kacprzyk,et al. On fuzzy tournaments and their solution concepts in group decision making , 1991 .
[40] Christer Carlsson,et al. Consensus in distributed soft environments , 1992 .
[41] J. Kacprzyk,et al. Group decision making and consensus under fuzzy preferences and fuzzy majority , 1992 .
[42] R. Deb,et al. Soft sets: an ordinal formulation of vagueness with some applications to the theory of choice , 1992 .
[43] L. Zadeh,et al. An Introduction to Fuzzy Logic Applications in Intelligent Systems , 1992 .
[44] J. Kacprzyk,et al. Fuzzy Logic with Linguistic Quantifiers in Group Decision Making , 1992 .
[45] J. Kacprzyk,et al. GROUP DECISION MAKING WITH FUZZY MAJORITIES REPRESENTED BY LINGUISTIC QUANTIFIERS , 1993 .
[46] José L. Verdegay,et al. On aggregation operations of linguistic labels , 1993, Int. J. Intell. Syst..
[47] Slawomir Zadrozny,et al. Consensus reaching via a GDSS with fuzzy majority and clustering of preference profiles , 1994, Ann. Oper. Res..
[48] Francisco Herrera,et al. ON GROUP DECISION MAKING UNDER LINGUISTIC PREFERENCES AND FUZZY LINGUISTIC QUANTIFIERS , 1995 .
[49] Bernadette Bouchon-Meunier,et al. Fuzzy Logic And Soft Computing , 1995 .
[50] Janusz Kacprzyk,et al. Consensus Degrees Under Fuzziness via Ordered Weighted Average (OWA) Operators , 1995 .
[51] Francisco Herrera,et al. A model of consensus in group decision making under linguistic assessments , 1996, Fuzzy Sets Syst..
[52] R. Yager. Quantifier guided aggregation using OWA operators , 1996, Int. J. Intell. Syst..
[53] J. Kacprzyk,et al. Probabilistic, fuzzy and rough concepts in social choice , 1996 .
[54] J. Kacprzyk,et al. How different are social choice functions: a rough sets approach , 1996, Quality and Quantity.
[55] J. Kacprzyk,et al. The Ordered Weighted Averaging Operators: Theory and Applications , 1997 .