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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/25774

Title: A New Information Fusion Method for Fuzzy Information Retrieval
Authors: Hsuan-Shih Lee;Ming-Tao Chou;Wei-Kuo Tseng;Hsin-Hsiung Fang;Chen-Huei Yeh
Contributors: NTOU:Department of Merchant Marine
Date: 2007
Issue Date: 2011-10-20T08:32:24Z
Publisher: Lecture Notes in Computer Science
Abstract: Abstract:In this paper, we present a new prioritization method for information fusion under fuzzy environment. We propose a new measure to measure the similarity between generalized trapezoidal fuzzy numbers. Based on the proposed similarity measure, we develop an utility function of generalized trapezoidal fuzzy numbers. With the utility function of generalized trapezoidal fuzzy numbers, we propose a new method to handle the problems of fuzzy information retrieval where fuzzy numbers are used to represent the degrees of strength at which documents satisfy prioritized criteria.
Relation: 4693, pp.1293-1298
URI: http://ntour.ntou.edu.tw/handle/987654321/25774
Appears in Collections:[商船學系] 期刊論文

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