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dc.contributor.author
Fioravanti, Federico
dc.contributor.author
Tohmé, Fernando Abel
dc.date.available
2021-08-27T18:22:38Z
dc.date.issued
2021-07-22
dc.identifier.citation
Fioravanti, Federico; Tohmé, Fernando Abel; Fuzzy group identification problems; Elsevier; Fuzzy Sets and Systems; 22-7-2021; 1-23
dc.identifier.issn
0165-0114
dc.identifier.uri
http://hdl.handle.net/11336/139116
dc.description.abstract
The Group Identification Problem (“Who is a J?”) introduced by Kasher and Rubinstein (1997) assumes a finite class of agents, each one with an opinion about the membership to a group J of the members of the society, consisting in a function that indicates for each agent, including herself, the degree of membership to J. The problem is that of aggregating those functions, satisfying different sets of axioms and characterizing different aggregators. The literature has already considered fuzzy versions of this problem. In this paper we consider alternative fuzzy presentations of the axiomatic of the original problem. While some results are analogous to those of the original crisp model, we show that our fuzzy version is able to overcome some of the main impossibility results of Kasher and Rubinstein.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
GROUP IDENTIFICATION PROBLEM
dc.subject
GROUP DECISION MAKING
dc.subject
DECISION ANALYSIS
dc.subject
LIBERAL
dc.subject
DICTATOR
dc.subject.classification
Matemática Aplicada
dc.subject.classification
Matemáticas
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Fuzzy group identification problems
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2021-08-13T16:19:03Z
dc.journal.pagination
1-23
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Fioravanti, Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina
dc.description.fil
Fil: Tohmé, Fernando Abel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina
dc.journal.title
Fuzzy Sets and Systems
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0165011421002463
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.fss.2021.07.006
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