A Consensus Model for Group Decision Making with Incomplete Unbalanced Fuzzy Linguistic Preference Relations

被引：0
|
作者：
Cabrerizo, F. J. [1 ]
Moreno, J. M. [2 ]
Herrera-Viedma, E. [3 ]
机构：
[1] Distance Learning Univ Spain, Dept Software Engn & Comp Syst, Madrid 28040, Spain
[2] Univ Murcia, Dept Infomat & Commun Engn, Murcia 30100, Spain
[3] Univ Granada, Dept Comp Sci & Artificial Intelligence, Murcia 30100, Spain
来源：
PROCEEDINGS OF THE JOINT 2009 INTERNATIONAL FUZZY SYSTEMS ASSOCIATION WORLD CONGRESS AND 2009 EUROPEAN SOCIETY OF FUZZY LOGIC AND TECHNOLOGY CONFERENCE | 2009年
关键词：
Group decision making; consensus; unbalanced fuzzy linguistic preference relations; incomplete information; consistency; OPERATORS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We present a consensus model for group decision making with unbalanced fuzzy linguistic preference relations, i.e., assuming that the preferences are assessed on linguistic term sets whose terms are not symmetrically and uniformly distributed. This consensus model can manage incomplete information situations, that is, situations where the experts do not give all the preference values that they are usually requested. In addition, both consistency and consensus measures are used and it allows to achieve consistent solutions with a great level of agreement.
引用
收藏
页码：13 / 18
页数：6
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