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Article type: Research Article
Authors: Jiang, Jian; *
Affiliations: Business School, Xinjiang University, Urumqi, China
Correspondence: [*] Corresponding author. Jian Jiang, Business School, Xinjiang University, Urumqi 830000, China. E-mail: [email protected].
Abstract: This research proposes a Pythagorean fuzzy multi-attribute decision-making evaluation method based on the improved cumulative prospect theory. The method ranks the decision-making results by calculating the comprehensive cumulative prospect value. Firstly, the research improves the cumulative prospect theory based on the utility curve, and describes the psychological and behavioral characteristics of various decision-making groups with different risk preferences. Then, a distance measure method based on the geometric center of the Pythagorean fuzzy right triangle is designed. The main core of the distance measure method is that it converts the Pythagorean fuzzy number into a Pythagorean fuzzy right triangle. In terms of attribute weighting, this research proposes a subjective and objective weighting method based on the combination of value function and deviation method of improved cumulative prospect theory. Finally, the Pythagorean fuzzy multi-attribute decision-making method based on the improved cumulative prospect theory is realized through the selection of reference object, the calculation of value function value, weight function value and cumulative prospect value. The results analysis and the comparison with other methods verify the effectiveness and advancement of the proposed decision-making method, especially that the proposed method has good applicability for the decision-making cases where the attribute value is Pythagorean fuzzy number, the attribute weight is unknown, and the psychological behavior of decision makers cannot be reflected.
Keywords: Ecological sustainable development, location selection of emergency rescue center, improved cumulative prospect theory, Pythagorean fuzzy number, subjective and objective weighting method, Sichuan-Tibet Railway
DOI: 10.3233/JIFS-221301
Journal: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 6, pp. 8151-8175, 2022
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