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Issue title: Special Section: Fuzzy Decision Making and Applications in Knowledge Management
Guest editors: Justin Zhang
Article type: Research Article
Authors: Wang, Qifeng | Sun, Haining | Zhou, Liandong; *
Affiliations: Logistics and E-Commerce College, Zhejiang Wanli University, Ningbo, China
Correspondence: [*] Corresponding author. Liandong Zhou, Logistics and E-Commerce College, Zhejiang Wanli University, Ningbo, China. E-mail: zhouliandongzld@163.com.
Abstract: With respect to the decision making problems where the information of the attribute weights is incomplete under the intuitionistic fuzzy environment, a decision making method based on the improved VIKOR is developed. Firstly considering the advantage of the intuitionistic fuzzy set in expressing the decision makers’ preference information, the intuitionistic fuzzy evaluation matrices are established. In order to derive the attribute weights from the incomplete attribute information of weights, a linear programming model is proposed. Then the traditional VIKOR method is improved by replacing the distance measure with projection model. Finally an illustrative example is given to prove the practicality and effectiveness of the method proposed.
Keywords: Improved VIKOR method, projection model, intuitionistic fuzzy number, decision making, linear programming model
DOI: 10.3233/JIFS-179228
Journal: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 1639-1647, 2019
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