Extended PROMETHEE method with Pythagorean fuzzy sets for medical diagnosis problems

Autor:	Bibhas C. Giri, Pranab Biswas, Mahatab Uddin Molla
Rok vydání:	2021
Předmět:	Computer science Generalization business.industry Pythagorean theorem Computational intelligence Multiple-criteria decision analysis Fuzzy logic Theoretical Computer Science Ranking Geometry and Topology Artificial intelligence Medical diagnosis business Preference (economics) Software
Zdroj:	Soft Computing. 25:4503-4512
ISSN:	1433-7479 1432-7643
Popis:	Pythagorean fuzzy sets, a generalization of intuitionistic fuzzy sets, can effectively handle uncertain, incomplete and inconsistent information involved in real-life multi-criteria decision making (MCDM) problems. Preference ranking organization method for enrichment of evaluation (PROMETHEE) is one of the popular methods for solving MCDM problem. In this paper, we extend the PROMETHEE method with Pythagorean fuzzy sets. We illustrate the proposed model with a numerical example and compare the method with some existing Pythagorean fuzzy sets-based methods. We also solve a medical diagnosis problem using the proposed Pythagorean fuzzy PROMETHEE method and highlight some advantages of the proposed method.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2c349b5dc22e78f19fdabb2d544abbd9 https://doi.org/10.1007/s00500-020-05458-7 Zobrazit plný text záznamu Full text from SpringerLink