Fuzzy decision making and consensus: Challenges

Francisco Javier Cabrerizo*, Francisco Chiclana, Rami Al-Hmouz, Ali Morfeq, Abdullah Saeed Balamash, Enrique Herrera-Viedma

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

164 Citations (Scopus)

Abstract

Group decision making is part of every organizational life. It is a type of participatory process in which multiple decision makers acting collectively, analyze problems, consider and evaluate several alternatives, and select from among the alternatives a solution. In such a situation, an important issue is the level of agreement or consensus achieved among the group of decision makers before obtaining the solution. In the beginning, consensus was meant as a full and unanimous agreement. Regrettably, this stringent concept of consensus in many cases is a utopia. As a result, and from a pragmatic point of view, it makes more sense to speak about a degree of consensus and, here, the theory of fuzzy sets has delivered new tools for the analysis of such imprecise phenomena like consensus. Given the significance of reaching an accepted solution by all the decision makers, consensus is a major aim of group decision making problems and, in such a way, it has obtained a great attention in the literature. However, there still exist several dares which have to be tackled by the researchers. The purpose of this paper is to bring out several issues that represent challenges that have to be faced.

Original languageEnglish
Pages (from-to)1109-1118
Number of pages10
JournalJournal of Intelligent and Fuzzy Systems
Volume29
Issue number3
DOIs
Publication statusPublished - Oct 7 2015
Externally publishedYes

Keywords

  • consensus
  • fuzzy logic
  • fuzzy set theory
  • Group decision making

ASJC Scopus subject areas

  • Statistics and Probability
  • Engineering(all)
  • Artificial Intelligence

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