An intutionistic fuzzy optimization approach to vendor selection problem

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• 作者：Prabjot Kaur ; ^{tinderbox_fuzzy@yahoo.com" class="auth_mail" title="E-mail the corresponding author} ; ^{lakshmirachana1995@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; K.N.L. Rachana
• 关键词：Vendor selection ; Multi objective ; Intutionistic fuzzy sets (IFS)
• 刊名：Perspectives in Science
• 出版年：2016
• 出版时间：September 2016
• 年：2016
• 卷：8
• 期：Complete
• 页码：348-350
• 全文大小：349 K

文摘

Selecting the right vendor is an important business decision made by any organization. The decision involves multiple criteria and if the objectives vary in preference and scope, then nature of decision becomes multiobjective. In this paper, a vendor selection problem has been formulated as an intutionistic fuzzy multiobjective optimization where appropriate number of vendors is to be selected and order allocated to them. The multiobjective problem includes three objectives: minimizing the net price, maximizing the quality, and maximizing the on time deliveries subject to supplier's constraints. The objection function and the demand are treated as intutionistic fuzzy sets. An intutionistic fuzzy set has its ability to handle uncertainty with additional degrees of freedom. The Intutionistic fuzzy optimization (IFO) problem is converted into a crisp linear form and solved using optimization software Tora. The advantage of IFO is that they give better results than fuzzy/crisp optimization. The proposed approach is explained by a numerical example.