Dual hesitant pythagorean fuzzy Hamacher aggregation operators in multiple attribute decision making

• Autorzy: Wei G. , Lu M.

Identyfikatory

DOI

10.1515/acsc-2017-0024

• Języki publikacji: EN

Abstrakty

EN

In this paper, we investigate the multiple attribute decision making (MADM) problem based on the Hamacher aggregation operators with dual Pythagorean hesitant fuzzy information. Then, motivated by the ideal of Hamacher operation, we have developed some Hamacher 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 Pythagorean hesitant fuzzy values; dual hesitant Pythagorean fuzzy Hamacher hybrid average (DHPFHHA) operator; dual hesitant Pythagorean fuzzy Hamacher hybrid geometric (DHPFHHG) operator; power aggregation operators

• Wydawca: Polish Academy of Sciences, Committee of Automatic Control and Robotics
• Czasopismo: Archives of Control Sciences
• Rocznik: 2017
• Tom: Vol. 27, no. 3
• Strony: 365--395
• Opis fizyczny: Bibliogr. 66 poz., tab., wzory

Twórcy

autor

Wei G.

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

autor

Lu M.

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

Bibliografia

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Uwagi

EN

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. 16YJA630033) and the Construction Plan of Scientific Research Innovation Team for Colleges and Universities in Sichuan Province (15TD0004).

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).