Dual hesitant Pythagorean fuzzy Bonferroni mean operators in multi-attribute decision making

• Autorzy: Tang Xiyue , Wei Guiwu

Identyfikatory

DOI

10.24425/acs.2019.129386

• Języki publikacji: EN

Abstrakty

EN

In this paper, we investigate the multiple attribute decision making problems based on the Bonferroni mean operators with dual Pythagorean hesitant fuzzy information. Firstly, we introduce the concept and basic operations of the dual hesitant Pythagorean fuzzy sets, which is a new extension of Pythagorean fuzzy sets. Then, motivated by the idea of Bonferroni mean operators, we have developed some Bonferroni mean aggregation operators for aggregating dual hesitant Pythagorean fuzzy information. The prominent characteristic of these proposed operators are studied. Then, we have utilized these operators to develop some approaches to solve the dual hesitant Pythagorean fuzzy multiple attribute decision making problems. Finally, a practical example for supplier selection in supply chain management is given to verify the developed approach and to demonstrate its practicality and effectiveness.

Słowa kluczowe

EN

multiple attribute decision making; MADM; dual hesitant Pythagorean fuzzy sets; dual hesitant Pythagorean fuzzy Bonferroni mean operator; DHPFBM; dual hesitant Pythagorean fuzzy geometric Bonferroni mean operator; DHPFGBM; supplier selection; supply chain management

• Wydawca: Polish Academy of Sciences, Committee of Automatic Control and Robotics
• Czasopismo: Archives of Control Sciences
• Rocznik: 2019
• Tom: Vol. 29, No. 2
• Strony: 339--386
• Opis fizyczny: Bibliogr. 73 poz., tab., wzory

Twórcy

autor

Tang Xiyue

• School of Business, Sichuan Normal University, Chengdu, 610101, P.R. China

autor

Wei Guiwu

• School of Business, Sichuan Normal University, Chengdu, 610101, P.R. China

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Uwagi

EN

1. This publication arises from research funded by the National Natural Science Foundation of China under Grant No. 61174149 and 71571128 and the Humanities and Social Sciences Foundation of Ministry of Education of the People’s Republic of China (No. 15XJA630006).

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).