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A characterization of rational amalgamation operations

dc.contributor.authorCutello, Vincenzo
dc.contributor.authorMontero De Juan, Francisco Javier
dc.date.accessioned2023-06-20T17:01:34Z
dc.date.available2023-06-20T17:01:34Z
dc.date.issued1993
dc.description.abstractThis paper deals with amalgamation of fuzzy opinions when a fixed number of individuals is faced with an unknown number of alternatives. The aggregation rule is defined by means of intensity aggregation operations that verify certain ethical conditions, and assuming fuzzy rationality as defined in [1, 2]. A necessary and sufficient condition for non-irrationality is presented, along with comments on the importance of the number of alternatives.en
dc.description.departmentDepto. de Estadística e Investigación Operativa
dc.description.facultyFac. de Ciencias Matemáticas
dc.description.refereedTRUE
dc.description.sponsorshipDirección General de Investigación Científica y Técnica (España)
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/16851
dc.identifier.citationCutello, V., Montero, J.: A characterization of rational amalgamation operations. International Journal of Approximate Reasoning. 8, 325-344 (1993). https://doi.org/10.1016/0888-613X(93)90028-C
dc.identifier.doi10.1016/0888-613X(93)90028-C
dc.identifier.issn0888-613X
dc.identifier.officialurlhttps//doi.org/10.1016/0888-613X(93)90028-C
dc.identifier.relatedurlhttp://www.sciencedirect.com/science/article/pii/0888613X9390028C
dc.identifier.urihttps://hdl.handle.net/20.500.14352/57646
dc.issue.number4
dc.journal.titleInternational Journal of Approximate Reasoning
dc.language.isoeng
dc.page.final344
dc.page.initial325
dc.publisherElsevier Science INC
dc.relation.projectIDPB91-0389
dc.rights.accessRightsopen access
dc.subject.cdu510.64
dc.subject.keywordAggregation rules
dc.subject.keywordFuzzy preferences
dc.subject.keywordGroup decision-making
dc.subject.ucmLógica simbólica y matemática (Matemáticas)
dc.subject.unesco1102.14 Lógica Simbólica
dc.titleA characterization of rational amalgamation operationsen
dc.typejournal article
dc.volume.number8
dcterms.referencesMontero, J., Arrow's theorem under fuzzy rationality. Behavioral Sci. 267-273,1987. Montero, J., Social welfare functions in a fuzzy environment, Kybernetes 16,241-245, 1987. Arrow, K. J., Social Choice and IndivMual Values, John Wiley & Sons, Inc., New York, 1964. Fung, L. W., and Fu, K. S., An axiomatic approach to rational decision making in a fuzzy environment, in Fuzzy Sets and Their Applications to Cognitive and Decision Processes, (L. A. Zadeh, K. S. Fu, K. Tanaka, and M.Shimura, Eds.),Academic Press, 227-256, 1975. Montero, J., A note on fung-fu's theorem, Fuzzy Sets Syst. 17, 259-269, 1985. Ovchinnikov, S., Means and social welfare function in fuzzy binary relation spaces, in Multiperson Decision Making Using Fuzzy Sets and Possibility Theory,(J. Kacprzyk and M. Fedrizzi, Eds., Kluwer, 143-154, 1990. Cutello, V., and Montero, J., A model for amalgamation in group decision making, In NASA Conference Publication 10112, Vol. 1,215-223. Proceedings of NAFIPS '92 Conference, Puerto Vallarta, Mexico, 1992. Montero, J., Fuzzy rationality as a basis for group decision making, in Fuzz-IEEE 1992, 1237-1243, San Diego, CA, 1992. Proceedings of the IEEE International Conference on Fuzzy Systems. Montero, J., Rational aggregation rules. Submitted, 1992. Klir, G. J., and Folger, T. A., Fuzzy Sets, Uncertainty and Information. Prentice Hall, Englewood Cliffs, NJ, 1988.
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relation.isAuthorOfPublication9e4cf7df-686c-452d-a98e-7b2602e9e0ea
relation.isAuthorOfPublication.latestForDiscovery9e4cf7df-686c-452d-a98e-7b2602e9e0ea

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