A consensus degree for hesitant fuzzy linguistic decision making

Jordi Montserrat-Adell, Nuria Agell, Mónica Sanchez, Francisco Javier Ruiz

Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

1 Citació (Scopus)

Resum

This paper proposes a measure of consensus for group decision making in the hesitant fuzzy linguistic term sets framework. An extension of the set of hesitant fuzzy linguistic term sets is considered to capture differences among discordant assessments. The difference between a pair of disjoint assessments is given by a measure that takes into account the gap between them. The proposed measure of consensus is defined using this extension, and, as a result, we obtain more accurate values, i.e., the new measure is able to distinguish among group consensus levels that were indistinguishable according to existing measures of consensus. An illustrative example is provided to show the potential of the proposed consensus degree, the process of its computation and a comparison with an existing approach based on a similarity among decision makers.

Idioma originalAnglès
Títol de la publicació2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017
EditorInstitute of Electrical and Electronics Engineers Inc.
ISBN (electrònic)9781509060344
DOIs
Estat de la publicacióPublicada - 23 d’ag. 2017
Publicat externament
Esdeveniment2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017 - Naples, Italy
Durada: 9 de jul. 201712 de jul. 2017

Sèrie de publicacions

NomIEEE International Conference on Fuzzy Systems
ISSN (imprès)1098-7584

Conferència

Conferència2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017
País/TerritoriItaly
CiutatNaples
Període9/07/1712/07/17

Fingerprint

Navegar pels temes de recerca de 'A consensus degree for hesitant fuzzy linguistic decision making'. Junts formen un fingerprint únic.

Com citar-ho