Picture fuzzy WASPAS technique and its application in multi-criteria decision-making

In recent times, multi-criteria decision-making (MCDM) strategies have grown in popularity as the world has become more unpredictable. The objective of this article is to establish a WASPAS (weighted aggregated sum product assessment)-based outranking approach for MCDM in a picture fuzzy set (PFS) e...

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Vydáno v:Soft computing (Berlin, Germany) Ročník 26; číslo 9; s. 4413 - 4421
Hlavní autoři: Senapati, Tapan, Chen, Guiyun
Médium: Journal Article
Jazyk:angličtina
Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.05.2022
Témata:
Artificial Intelligence
Computational Intelligence
Control
Engineering
Mathematical Logic and Foundations
Mechatronics
Robotics
Soft Computing in Decision Making and in Modeling in Economics
WASPAS
Picture fuzzy numbers
MCDM
Picture fuzzy WASPAS technique
ISSN:1432-7643, 1433-7479
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Shrnutí:In recent times, multi-criteria decision-making (MCDM) strategies have grown in popularity as the world has become more unpredictable. The objective of this article is to establish a WASPAS (weighted aggregated sum product assessment)-based outranking approach for MCDM in a picture fuzzy set (PFS) environment. To illustrate the practicality and reasonableness of the suggested method, in reality, scenario research involving appropriate air-conditioning system selection is provided. The recommended technique performs well when contrasted to other existing classifier strategies, according to experimental results acquired for a real-world issue.
ISSN:1432-7643
1433-7479
DOI:10.1007/s00500-022-06835-0