基于混合加权距离的毕达哥拉斯模糊TOPSIS多属性决策方法研究

doi:10.16381/j.cnki.issn1003-207x.2019.03.020

Abstract

Abstract: The aim of this paper is to present a technique based on the hybrid weighted distance (PFHWD) measure for Pythagorean fuzzy TOPSIS model. Firstly, the inadequacies for the existing Pythagorean fuzzy distance measures are analyzed in detail. Then, two new distance measures, namely the Pythagorean fuzzy ordered weighted distance measure and the PFHWD measure are presented to enhance Pythagorean fuzzy theory, some of their advantages are also explored. Furthermore, based on the proposed measures, a modified TOPSIS termed the PFHWD-TOPSIS, is developed for Pythagorean fuzzy multiple attribute decision making problems. Moreover, a revised relative coefficient is proposed to rank the potential alternatives. Finally, a numerical example concerning the service quality of domestic airlines is introduced to demonstrate the effectiveness of the developed model. The research of this paper contributes to enrich the theory and application of Pythagorean fuzzy set.

Key words: Pythagorean fuzzy set, distance measure, hybrid aggregation, multiple-attribute decision making, TOPSIS

CLC Number:

C943

ZENG Shou-zhen, MU Zhi-min. A Method Based on Hybrid Weighted Distance for Pythagorean Fuzzy TOPSIS Multiple-attribute Decision Making[J]. Chinese Journal of Management Science, 2019, 27(3): 198-205.

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A Method Based on Hybrid Weighted Distance for Pythagorean Fuzzy TOPSIS Multiple-attribute Decision Making

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