期刊
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
卷 166, 期 1, 页码 160-171出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.ejor.2004.03.018
关键词
fuzzy sets; fuzzy cluster analysis; linguistic value; equivalence relation; strategic group
In this paper, a cluster analysis method based on fuzzy equivalence relation is proposed. At first, the distance formula between two trapezoidal fuzzy numbers is used to aggregate subjects' linguistic assessments about attributes ratings to obtain the compatibility relation. Then a fuzzy equivalence relation based on the fuzzy compatibility relation can be constructed. Finally, using a cluster validity index to determine the best number of clusters and taking suitable cut value, the clustering analysis can be effectively implemented. By utilizing this clustering analysis, the subjects' fuzzy assessments with various rating attitudes can be taken into account in the aggregation process to assure more convincing and accurate cluster analysis. (c) 2004 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据