A method for interval-valued intuitionistic fuzzy multiple attribute decision making based on fuzzy entropy
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...
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Veröffentlicht in: | Journal of intelligent & fuzzy systems 2020-01, Vol.38 (6), p.7779-7785 |
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Sprache: | eng |
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Zusammenfassung: | 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. |
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ISSN: | 1064-1246 1875-8967 |
DOI: | 10.3233/JIFS-179847 |