Group Decision Making: Consensus Approaches Based on Soft Consensus Measures

  • Francisco Javier Cabrerizo
  • Ignacio Javier Pérez
  • Francisco Chiclana
  • Enrique Herrera-Viedma
Part of the Studies in Computational Intelligence book series (SCI, volume 671)


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.


Group decision making Consensus Fuzzy set theory 



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.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Francisco Javier Cabrerizo
    • 1
  • Ignacio Javier Pérez
    • 2
  • Francisco Chiclana
    • 3
  • Enrique Herrera-Viedma
    • 1
  1. 1.Department of Computer Sciences and Artificial IntelligenceUniversity of GranadaGranadaSpain
  2. 2.Department of Computer Sciences and EngineeringUniversity of CádizPuerto RealSpain
  3. 3.Faculty of Technology, Centre for Computational IntelligenceDe Montfort UniversityLeicesterUK

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