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Issue title: Information Sciences and Data Transmission of Data
Guest editors: Juan Luis García Guirao
Article type: Research Article
Authors: He, Zefanga | Guo, Zixueb; * | Lin, Pengb | Song, Fengxuanb
Affiliations: [a] School of Information, Beijing Wuzi University, Beijing, China | [b] Department of Management, Hebei University, Baoding, China
Correspondence: [*] Corresponding author. Zixue Guo, Department of Management, Hebei University, Baoding, China. E-mail: guo_zx@163.com.
Abstract: With respect to multi-attribute decision making problem, in which attribute values are expressed in interval-valued intuitionistic fuzzy numbers, a decision making method based on fuzzy entropy and TOPSIS is presented. In this paper, the score value function and precision function of interval-valued intuitionistic fuzzy numbers are defined, and the attribute weight determination method based on improved fuzzy entropy is given. Then, by using the ranking method of interval-valued intuitionistic fuzzy numbers, the positive and negative ideal solutions of interval-valued intuitionistic fuzzy multiple attribute decision making problems are obtained. On this basis, an interval-valued intuitionistic fuzzy multi-attribute decision making method based on TOPSIS is proposed. Finally, the method is applied to the evaluation of local government public finance expenditure performance and its effectiveness is illustrated by a numerical example.
Keywords: Interval-valued intuitionistic fuzzy sets, multi-attribute decision making, TOPSIS method, improved fuzzy entropy
DOI: 10.3233/JIFS-179847
Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7779-7785, 2020
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