Group Decision Making: Consensus Approaches Based on Soft Consensus Measures

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dc.contributor.author Cabrerizo, Francisco Javier en
dc.contributor.author Pérez, Ignacio Javier en
dc.contributor.author Chiclana, Francisco en
dc.contributor.author Herrera-Viedma, Enrique en
dc.date.accessioned 2017-01-23T15:40:02Z
dc.date.available 2017-01-23T15:40:02Z
dc.date.issued 2017-01-14
dc.identifier.citation Cabrerizo, F.J., Perez, I.J., Chiclana, F. and Herrera-Viedma, E. (2017) Group Decision Making: Consensus Approaches based on Soft Consensus Measures. In: Vicenc Torra et al. (Eds.): Fuzzy sets, rough sets, multisets and clustering. Springer International Publishing Switzerland, pp. 307--321. en
dc.identifier.isbn 9783319475561
dc.identifier.issn 1860-949X
dc.identifier.uri http://hdl.handle.net/2086/13202
dc.description.abstract A group decision making situation involves multiple decision makers communicating with others to reach a decision. In such a situation, the most important issue is to obtain a decision that is best acceptable by the decision makers, and, therefore, consensus has attained a great attention and it is a major goal of group decision making situations. To measure the closeness among the opinions given by the decision makers, different approaches have been proposed. At the beginning, consensus was meant to be a unanimous and full agreement. However, because this situation is often not reachable in practice, the use of a softer consensus, which assesses the level of agreement in a more flexible way and reflects the large spectrum of possible partial agreements, is a more reasonable approach. Soft consensus approaches better reflects a real human perception of the essence of consensus and, therefore, they have been widely used. The purpose of this contribution is to review the different consensus approaches based on soft consensus measures that have been proposed. en
dc.language.iso en en
dc.publisher Springer International Publishing en
dc.subject Group decision making en
dc.subject Consensus en
dc.subject Fuzzy set theory en
dc.title Group Decision Making: Consensus Approaches Based on Soft Consensus Measures en
dc.type Book chapter en
dc.identifier.doi http://dx.doi.org/10.1007/978-3-319-47557-8_18
dc.researchgroup Centre for Computational Intelligence en
dc.peerreviewed Yes en
dc.funder The authors would like to acknowledge FEDER financial support from the Project TIN2013-40658-P, and also the financial support from the Andalusian Excellence Project TIC-5991. en
dc.projectid The authors would like to acknowledge FEDER financial support from the Project TIN2013-40658-P, and also the financial support from the Andalusian Excellence Project TIC-5991. en
dc.cclicence CC-BY-NC-ND en


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