Algorithms for multiple attribute decision making with dual hesitant Pythagorean fuzzy information and their application to supplier selection

Autor:	Xu-Yang Li
Rok vydání:	2022
Předmět:	Artificial Intelligence Control and Systems Engineering Software
Zdroj:	International Journal of Knowledge-based and Intelligent Engineering Systems. 25:465-475
ISSN:	1875-8827 1327-2314
DOI:	10.3233/kes-210089
Popis:	In this paper, we investigate the multiple attribute decision making (MADM) problem based on the Hamacher aggregation operators and Choquet integral with dual Pythagorean hesitant fuzzy information. Then, motivated by the ideal of Hamacher operation and Choquet integral, we have developed some Hamacher correlated operators for aggregating dual hesitant Pythagorean fuzzy information. The prominent characteristic of these proposed operators is studied. Then, we have utilized these two operators to develop some approaches to solve the dual hesitant Pythagorean fuzzy MADM 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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::93352ad0b6b270d0d37649fc77ce3e3d https://doi.org/10.3233/kes-210089 Zobrazit plný text záznamu