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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/26008

Title: Cluster Analysis Based on Fuzzy Equivalence Relation
Authors: Gin-Shuh Liang;Tsung-Yu Chou;Tzeu-Chen Han
Contributors: NTOU:Department of Shipping and Transportation Management
Keywords: Fuzzy sets;Fuzzy cluster analysis;Linguistic value;Equivalence relation;Strategic group
Date: 2005-10-01
Issue Date: 2011-10-20T08:33:26Z
Publisher: European Journal of Operational Research
Abstract: Abstract: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 λ-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.
Relation: 166(5), pp.160-171
URI: http://ntour.ntou.edu.tw/handle/987654321/26008
Appears in Collections:[航運管理學系] 期刊論文

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