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Single-Peakedness in Weighted Aggregation of Fuzzy Opinions in a Fuzzy Group

dc.book.titleMultiperson Decision Making Models Using Fuzzy Sets and Possibility Theory
dc.contributor.authorMontero De Juan, Francisco Javier
dc.contributor.editorKacprzyk, Janusz
dc.contributor.editorFedrizzi, Mario
dc.date.accessioned2023-06-20T21:10:44Z
dc.date.available2023-06-20T21:10:44Z
dc.date.issued1990
dc.description.abstractIn this paper it is considered a formal approach to the problem of aggregating individual opinions in a fuzzy group, when alternatives can be represented in a real hyper-space and each individual defines his/her fuzzy set of non rejectable alternatives. On one hand, weighted aggregation rule for consensus opinion is axiomatically justified. On the other hand, it is shown a sufficient condition for the stability of such consensus solution.en
dc.description.departmentDepto. de Estadística e Investigación Operativa
dc.description.facultyFac. de Ciencias Matemáticas
dc.description.refereedTRUE
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/29484
dc.identifier.citationMontero, J.: Single-Peakedness in Weighted Aggregation of Fuzzy Opinions in a Fuzzy Group. En: Kacprzyk, J. y Fedrizzi, M. (eds.) Multiperson Decision Making Models Using Fuzzy Sets and Possibility Theory. pp. 163-171. Springer Netherlands, Dordrecht (1990)
dc.identifier.doi10.1007/978-94-009-2109-2_15
dc.identifier.isbn978-94-010-7448-3
dc.identifier.officialurlhttps//doi.org/10.1007/978-94-009-2109-2_15
dc.identifier.relatedurlhttp://link.springer.com/chapter/10.1007/978-94-009-2109-2_15
dc.identifier.urihttps://hdl.handle.net/20.500.14352/60897
dc.issue.number18
dc.language.isoeng
dc.page.final171
dc.page.initial163
dc.publication.placeNetherlands
dc.publisherSpringer
dc.relation.ispartofseriesTheory and Decision Library. Series B: Mathematical and Statistical Methods
dc.rights.accessRightsopen access
dc.subject.cdu519.8
dc.subject.keywordAggregation rules
dc.subject.keywordGroup decision making
dc.subject.keywordFuzzy opinions
dc.subject.ucmInvestigación operativa (Matemáticas)
dc.subject.unesco1207 Investigación Operativa
dc.titleSingle-Peakedness in Weighted Aggregation of Fuzzy Opinions in a Fuzzy Groupen
dc.typebook part
dc.volume.number3
dcterms.referencesK.J. Arrow ( 1951, 1964), Social Choice and Individual Values, Wiley, New York. Black, D (1958) The Theory of Committees and Elections. Cambridge University Press, Cambridge Cholewa, W, Ruelle, (1985) Aggregation of Fuzzy Opinions: an Axiomatic Approach. Fuzzy Sets Syst 17: pp. 249-258 Dubois, D, Koning, JK (1989) Social Choice Axioms forFuzzy Sets Aggregation. Fuzzy Sets Syst, to appear Dubois, D, Prade, H (1985) A review of Fuzzy sets Aggregation Connectives. Inf. Sci 36: pp. 85-121 CrossRef Fung, LW, Fu, KS An Axiomatic Approach to Rational Decision Making in a Fuzzy Environment. In: Zadeh, LA, Fu, KS, Tanaka, K, Shimura, M eds. (1975) Fuzzy Sets and their Applications to Cognitive and Decision Processes. Academic Press, New York, pp. 227-256 Inada, K (1964) A Note on Simple Majority Rule. Econometrica 32: pp. 525-531 Montero, J (1985) A note on Fung-Fu’s Theorem. Fuzzy Sets Syst 17: pp. 259-269 Montero, J (1988a) Aggregation of Fuzzy Opinions in a Non-Homogeneous Group. Fuzzy Sets Syst 25: pp. 15-20 CrossRef Montero, J An Axiomatic Approach to Fuzzy Multicriteria Analysis. In: Gupta, MM, Yamakawa, T eds. (1988b) Fuzzy Logic in Knowledge-Based Systems, Decision and Control. North-Holland, Amsterdam, pp. 259-269 Montero, J (1989) Weighted Aggregation and Single Peaked Intensities. Workshop on Aggregation and Best Choices on Imprecise Opinions, Brussels Pattanaik, PK (1971) Voting and Collective Choice. Cambridge University Press, Cambridge Sen, AK (1970) Collective Choice and Social Welfare. Holden-Day, San Francisco Vansnick, JC Intensity of Preference. In: Sawaragi, Y, Inoue, K, Nakayama, H eds. (1987) Toward Interactive and Intelligent Decision Support Systems. Springer-Verlag, Berlin, pp. 220-229
dspace.entity.typePublication
relation.isAuthorOfPublication9e4cf7df-686c-452d-a98e-7b2602e9e0ea
relation.isAuthorOfPublication.latestForDiscovery9e4cf7df-686c-452d-a98e-7b2602e9e0ea

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