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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/41963

Title: An interval-valued fuzzy number approach for supplier selection
Authors: Chan-Shal Lee;Cheng-Chi Chung;Hsuan-Shih Lee;Ming-Tao Chou
Contributors: 國立臺灣海洋大學:航運管理學系
Date: 2016-06
Issue Date: 2017-04-17T08:13:13Z
Publisher: Journal of Marine Science and Technology
Abstract: Supplier assessment in supply chain management and electronic marketplaces plays an important role in the business transaction. Many methods have been proposed to deal with the supplier selection problems. Some of them are based on fuzzy set theory. However, traditional fuzzy numbers cannot precisely express the vagueness in the decision process. In this paper, we are going to propose a new fuzzy multiple criteria decision making model based on interval-valued fuzzy numbers to tackle the supplier selection problem in the circumstances where uncertainty is introduced. Usually, fuzzy numbers are employed to express uncertainty. For a fuzzy number, the degree of the membership is a crisp number whereas the degree of the membership for an interval-valued fuzzy number is an interval. To grasp the vagueness more precisely, we employ interval-valued fuzzy numbers to represent the ratings and weights of the evaluation instead of traditional fuzzy numbers. One of the merits of our method compared to the traditional fuzzy methods is that our method can express the uncertainty more precisely in the evaluation process. Beside, we propose a new ranking method for interval valued fuzzy numbers.

An interval-valued fuzzy number approach for supplier selection. Available from: https://www.researchgate.net/publication/305852190_An_interval-valued_fuzzy_number_approach_for_supplier_selection [accessed Apr 17, 2017].
Relation: 24(3) pp.384-389
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/41963
Appears in Collections:[航運管理學系] 期刊論文

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