A Consensus Model for Group Decision Making With Incomplete Fuzzy Preference Relations
IEEE Transactions on Fuzzy SystemsPublished 1 October 2007
Enrique Herrera‐Viedma, Sergio Alonso, Francisco Chiclana, Francisco Herrera
Citations663
SJR quartileQ1
SJR score3.61
SNIP2.80
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TL;DR
The main improvement of this consensus model is that it supports the management of incomplete information and it allows to achieve consistent solutions with a great level of agreement.
Abstract
A first consensus model for group decision making problems where information available is not complete is developed. Consensus measures and consistency measures are used to design such an advice system to support the experts on how they should change and complete their fuzzy preference relations to obtain a solution with a high degree of consensus, but also maintaining a certain consistency level on their fuzzy preference relations. \nIEEE TFS is the leading journal in fuzzy logic with an impact factor of 1.803.
Keywords
Computer ScienceDecision Sciences
Influence : science and practice
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