Aviso: para depositar documentos, por favor, inicia sesión e identifícate con tu cuenta de correo institucional de la UCM con el botón MI CUENTA UCM. No emplees la opción AUTENTICACIÓN CON CONTRASEÑA
 

Hierarchies of intensity preference aggregations

dc.contributor.authorCutello, Vincenzo
dc.contributor.authorMontero De Juan, Francisco Javier
dc.date.accessioned2023-06-20T17:01:24Z
dc.date.available2023-06-20T17:01:24Z
dc.date.issued1994
dc.description.abstractThis paper deals with aggregation of fuzz; individual opinions into a single group opinion, based upon hierarchical intensity aggregation rules. Characterization theorems are given, and it is also shown that Montero's rationality and standard ethical conditions propagate under hierarchical aggregations.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/16839
dc.identifier.citationCutello, V., Montero, J.: Hierarchies of intensity preference aggregations. International Journal of Approximate Reasoning. 10, 123-133 (1994). https://doi.org/10.1016/0888-613X(94)90012-4
dc.identifier.doi10.1016/0888-613X(94)90012-4
dc.identifier.issn0888-613X
dc.identifier.officialurlhttps//doi.org/10.1016/0888-613X(94)90012-4
dc.identifier.relatedurlhttp://www.sciencedirect.com/science/article/pii/0888613X94900124
dc.identifier.urihttps://hdl.handle.net/20.500.14352/57641
dc.issue.number2
dc.journal.titleInternational Journal of Approximate Reasoning
dc.language.isoeng
dc.page.final133
dc.page.initial123
dc.publisherElsevier Science INC
dc.rights.accessRightsopen access
dc.subject.cdu519.8
dc.subject.keywordAggregation rules
dc.subject.keywordFuzzy preferences
dc.subject.keywordGroup decision-making
dc.subject.ucmInvestigación operativa (Matemáticas)
dc.subject.unesco1207 Investigación Operativa
dc.titleHierarchies of intensity preference aggregationsen
dc.typejournal article
dc.volume.number10
dcterms.referencesArrow, K. J., Social Choice and Individual Values, John Wiley & Sons, Inc., New York, 1964. Bezdek, J. C., Spillman, B., and Spillman, R., Fuzzy relation spaces for group decision theory. Fuzzy Sets and Systems 1:225-268, 1978. Bezdek, J. C., Spillman, B., and Spillman, R., Fuzzy relation spaces for group decision theory: an application. Fuzzy Sets and Systems 2:5-14, 1978. Cholewa, W., Aggregation of fuzzy opinions: an axiomatic approach. Fuzzy Sets and Systems 17:249-258, 1985. Cutello, V., and Montero, J., A model for amalgamation in group decision making. In NAFIPS 1992, Puerto Vallarta, Mexico, 1992. Proceedings of the North America Fuzzy Information Processing Society International Conference on Fuzzy Set Theory and Applications. Cutello, V., and Montero, J., A characterization of rational amalgamation operations. International Journal of Approximate Reasoning 8(4):325-344, 1993. Fung, L. W., and Fu, K. S., An axiomatic approach to rational decision making in 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 and Systems 17:259-269,1985. Montero, J., Arrow's theorem under fuzzy rationality. Behavioral Science, 267-273, 1987. Montero, J., Social welfare functions in a fuzzy environment. Kybernetes 16:241-245, 1987. 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.
dspace.entity.typePublication
relation.isAuthorOfPublication9e4cf7df-686c-452d-a98e-7b2602e9e0ea
relation.isAuthorOfPublication.latestForDiscovery9e4cf7df-686c-452d-a98e-7b2602e9e0ea

Download

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Montero62.pdf
Size:
487.86 KB
Format:
Adobe Portable Document Format

Collections