A Comparative Study on Consensus Measures in Group Decision Making

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dc.contributor.author del Moral, Maria Jose en
dc.contributor.author Chiclana, Francisco en
dc.contributor.author Tapia Garcia, Juan Miguel en
dc.contributor.author Herrera-Viedma, Enrique en
dc.date.accessioned 2017-12-19T12:44:48Z
dc.date.available 2017-12-19T12:44:48Z
dc.date.issued 2017-12
dc.identifier.citation del Moral M. J., Chiclana, F.,Tapia, J. M.,Herrera-Viedma, E. (2017) A Comparative Study on Consensus Measures in Group Decision Making. International Journal of Intelligent Systems. en
dc.identifier.issn 1098-111X
dc.identifier.uri http://hdl.handle.net/2086/15024
dc.description The file attached to this record is the author's final peer reviewed version. en
dc.description.abstract In group decision making problems it is desirable to obtain a high level of consensus among experts before reaching a solution. It is customary to construct consensus measures by using similarity functions to quantify the closeness of experts preferences. In such process the use of a metric that describes the distance between experts preferences allows the definition of similarity and dissimilarity -distance- functions. Different distance functions have been proposed in order to implement consensus measures. This paper examines how the use of different aggregation operators affects the level of consensus achieved by experts through different distance functions, once the number of experts has been established in the decision making problem. The experimental study conducted states that the speed of the consensus process is significantly affected by the use of diverse aggregation operators and distance functions. Several decision support rules which can be useful in controling the convergence speed of the consensus process are also derived. en
dc.language.iso en_US en
dc.publisher Wiley en
dc.subject Group Decision Making en
dc.subject Fuzzy Preferences en
dc.subject Similarity en
dc.subject Consensus en
dc.subject Decision Support Rules en
dc.title A Comparative Study on Consensus Measures in Group Decision Making en
dc.type Article en
dc.researchgroup Centre for Computational Intelligence en
dc.peerreviewed Yes en
dc.explorer.multimedia No en
dc.funder This research work has been supported by the research project grant TIN2016-75850-R from the FEDER funds. en
dc.projectid This research work has been supported by the research project grant TIN2016-75850-R from the FEDER funds. en
dc.cclicence CC-BY-NC en
dc.date.acceptance 2017-11-05 en


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