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Fuzzy Optimization and Decision Making

, Volume 5, Issue 4, pp 371–386 | Cite as

Linguistic group decision-making: opinion aggregation and measures of consensus

  • D. Ben-Arieh
  • Z. Chen
Article

Abstract

Group decision-making is a crucial activity, necessary in many aspects of our civilization. In many cases, due to inherent complexity, experts cannot express their opinion or preferences using exact numbers, thus resorting to a qualitative preference such as linguistic labels. Another complicating factor is the fact that very seldom all individuals in a group share the same opinion about the alternatives. This creates the need to aggregate all the differing individual opinions into a group opinion. Moreover, it is desirable to be able to assess the level of agreement among the experts; termed consensus. This paper presents a methodology for aggregating experts’ judgements, presented as linguistic labels, into a group opinion with a measure of the group consensus. The aggregation model allows weighted experts to express a degree of optimism or upward bias in their opinions. Then the paper presents two models of calculating the consensus based on the individual expert opinions and the group aggregated opinion.

Keywords

Fuzzy opinion Optimistic pessimistic Direct aggregation 

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Copyright information

© Springer Science+Business Media, LLC 2006

Authors and Affiliations

  1. 1.Dept. of Industrial and Manufacturing Systems Eng.Kansas State UniversityManhattanUSA

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