A new optimal consensus method with minimum cost in fuzzy group decision

Juan Liu, Tung Sun Chan, Ya Li, Yajuan Zhang, Yong Deng

Research output: Journal article publicationJournal articleAcademic researchpeer-review

57 Citations (Scopus)

Abstract

Finding group consensus plays a very important role in group decision making (GDM). In this short communication, a new optimal consensus method with minimum cost in fuzzy GDM is proposed. The main contribution of our work is that the limit of each expert's compromise is under consideration in the process of reaching group consensus. The numerical example shows the efficiency of the proposed method.
Original languageEnglish
Pages (from-to)357-360
Number of pages4
JournalKnowledge-Based Systems
Volume35
DOIs
Publication statusPublished - 1 Nov 2012

Keywords

  • Fuzzy opinions aggregation
  • Fuzzy sets
  • Group decision making
  • Maximum compromise
  • Minimum cost consensus

ASJC Scopus subject areas

  • Software
  • Management Information Systems
  • Information Systems and Management
  • Artificial Intelligence

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