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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/33298

Title: A soft computing method of performance evaluation with MCDM based on interval-valued fuzzy numbers
Authors: Ming-Shin Kuo;Gin-Shuh Liang
Contributors: 國立臺灣海洋大學:航運管理學系
Keywords: Performance evaluation;MCDM;VIKOR;Interval-valued fuzzy sets;Fuzzy sets
Date: 2012-01
Issue Date: 2012-12-26T07:55:07Z
Publisher: Applied Soft Computing
Abstract: Abstract:This study presented a new performance evaluation method for tackling fuzzy multicriteria decision-making (MCDM) problems based on combining VIKOR and interval-valued fuzzy sets. The performance evaluation problem often exists in complex administrative processes in which multiple evaluation criteria, subjective/objective assessments and fuzzy conditions have to be taken into consideration simultaneously in management. Here, the subjective, imprecise, inexact and uncertain evaluation processes are modeled as fuzzy numbers by means of linguistic terms, as fuzzy theory can provide an appropriate tool to deal with such uncertainties. However, the presentation of linguistic expressions in the form of ordinary fuzzy sets is not clear enough 0075 and 0105. Interval-valued fuzzy sets can provide more flexibility 0020 and 0070 to represent the imprecise/vague information that results, and it can also provide a more accurate modeling. This paper presents the interval-valued fuzzy VIKOR, which aims to solve MCDM problems in which the weights and performances of criteria are unequal by using the concepts of interval-valued fuzzy sets. A case study for evaluating the performances of three major intercity bus companies from an intercity public transport system is conducted to illustrate the effectiveness of the method.
Relation: 12(1), pp.476–485
URI: http://ntour.ntou.edu.tw/handle/987654321/33298
Appears in Collections:[航運管理學系] 期刊論文

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