Towards a general and unified characterization of individual and collective choice functions under fuzzy and nonfuzzy preferences and majority via the ordered weighted average operators
暂无分享,去创建一个
[1] K. Arrow. Social Choice and Individual Values , 1951 .
[2] Alfred De Grazia,et al. Mathematical Derivation of an Election System , 1953 .
[3] A. Sen,et al. Collective Choice and Social Welfare , 2017 .
[4] Michael D. Intriligator,et al. A Probabilistic Model of Social Choice , 1973 .
[5] Andrew Whinston,et al. Fuzzy Sets and Social Choice , 1973 .
[6] J. Blin. Fuzzy Relations in Group Decision Theory , 1974 .
[7] A. Gibbard. Manipulation of Schemes That Mix Voting with Chance , 1977 .
[8] S. Orlovsky. Decision-making with a fuzzy preference relation , 1978 .
[9] H. Nurmi. Approaches to collective decision making with fuzzy preference relations , 1981 .
[10] Michael D. Intriligator,et al. Probabilistic models of choice , 1982, Math. Soc. Sci..
[11] L. Zadeh. A COMPUTATIONAL APPROACH TO FUZZY QUANTIFIERS IN NATURAL LANGUAGES , 1983 .
[12] Ronald R. Yager,et al. Quantified Propositions in a Linguistic Logic , 1983, Int. J. Man Mach. Stud..
[13] Jin Bai Kim. Fuzzy rational choice functions , 1983 .
[14] J. Kacprzyk. Group decision-making with a fuzzy majority via linguistic quantifiers. part II: , 1985 .
[15] Philip A. Schrodt,et al. The Logic of Collective Choice. , 1986 .
[16] J. Kacprzyk. Group decision making with a fuzzy linguistic majority , 1986 .
[17] H. Nurmi. Comparing Voting Systems , 1987 .
[18] Sergei Ovchinnikov,et al. Identifying Noninferior Decision Alternatives Based on Fuzzy Binary Relations , 1988 .
[19] H. Nurmi. Assumptions of Individual Preferences in the Theory of Voting Procedures , 1988 .
[20] Ronald R. Yager,et al. On ordered weighted averaging aggregation operators in multicriteria decisionmaking , 1988, IEEE Trans. Syst. Man Cybern..
[21] Z. Świtalski. Choice Functions Associated with Fuzzy Preference Relations , 1988 .
[22] J. Kacprzyk,et al. Fuzzy Logic with Linguistic Quantifiers: A Tool for Better Modeling of Human Evidence Aggregation Processes? , 1988 .
[23] M. Roubens. Some properties of choice functions based on valued binary relations , 1989 .
[24] S. Ovchinnikov,et al. Modelling valued preference relations , 1989, Proceedings. The Nineteenth International Symposium on Multiple-Valued Logic.
[25] Janusz Kacprzyk,et al. Vague Notions in the Theory of Voting , 1990 .
[26] C. R. Barrett,et al. On choosing rationally when preferences are fuzzy , 1990 .
[27] J. Kacprzyk,et al. Multiperson decision making models using fuzzy sets and possibility theory , 1990 .
[28] T. Tanino. On Group Decision Making under Fuzzy Preferences , 1990 .
[29] Antoine Billot,et al. Aggregation of preferences: The fuzzy case , 1991 .
[30] J. Kacprzyk,et al. On fuzzy tournaments and their solution concepts in group decision making , 1991 .
[31] Denis Bouyssou,et al. A note on the sum of differences choice function for fuzzy preference relations , 1992 .
[32] L. Kitainik. Fuzzy Decision Procedures with Binary Relations: Towards A Unified Theory , 1993 .
[33] Leonid Kitainik,et al. Fuzzy Decision Procedures with Binary Relations , 1993, Theory and Decision Library.
[34] J. Kacprzyk,et al. GROUP DECISION MAKING WITH FUZZY MAJORITIES REPRESENTED BY LINGUISTIC QUANTIFIERS , 1993 .
[35] Marc Roubens,et al. Fuzzy Preference Modelling and Multicriteria Decision Support , 1994, Theory and Decision Library.
[36] Ayzerman,et al. Theory of choice , 1995 .
[37] János C. Fodor,et al. Characterization of the ordered weighted averaging operators , 1995, IEEE Trans. Fuzzy Syst..
[38] Francisco Herrera,et al. Direct approach processes in group decision making using linguistic OWA operators , 1996, Fuzzy Sets Syst..
[39] Francisco Herrera,et al. Applications of the linguistic OWA operators in group decision making , 1997 .
[40] J. Kacprzyk,et al. The Ordered Weighted Averaging Operators: Theory and Applications , 1997 .
[41] Janusz Kacprzyk,et al. The Ordered Weighted Averaging Operators , 1997 .
[42] Sławomir Zadrożny,et al. An Approach to the Consensus Reaching Support in Fuzzy Environment , 1997 .
[43] Dimitar Filev,et al. Induced ordered weighted averaging operators , 1999, IEEE Trans. Syst. Man Cybern. Part B.
[44] Janusz Kacprzyk,et al. Computing with Words in Information/Intelligent Systems 1 , 1999 .
[45] Janusz Kacprzyk,et al. Group decision making under fuzziness , 1999 .
[46] Slawomir Zadrozny,et al. Collective choice rules: a classification using the OWA operators , 1999, EUSFLAT-ESTYLF Joint Conf..
[47] Janusz Kacprzyk,et al. Social Choice under Fuzziness: A Perspective , 2000 .
[48] J. Fodor,et al. Preferences and Decisions under Incomplete Knowledge , 2000 .
[49] Francisco Herrera,et al. Theory and Methodology Choice functions and mechanisms for linguistic preference relations , 2000 .
[50] J. Kacprzyk,et al. Collective choice rules under linguistic preferences: an example of the computing with words/perceptions paradigm , 2000, Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063).
[51] Slawomir Zadrozny,et al. Computing with Words in Decision Making Through Individual and Collective Linguistic Choice Rules , 2001, Int. J. Uncertain. Fuzziness Knowl. Based Syst..
[52] Ronald R. Yager,et al. Induced aggregation operators , 2003, Fuzzy Sets Syst..
[53] B. Loewer,et al. Destroying the consensus , 2004, Synthese.
[54] Irina Georgescu,et al. On the Notion of Dominance of Fuzzy Choice Functions and Its Application in Multicriteria Decision Making , 2005, ECSQARU.
[55] Ronald R. Yager,et al. Modeling the concept of majority opinion in group decision making , 2006, Inf. Sci..
[56] Lotfi A. Zadeh. Computing with Words in Information/Intelligent Systems 2: Applications , 2010 .