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

  • Soft computing in decision making and in modeling in economics
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Abstract

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.

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Funding

This work is supported by the National Natural Science Foundation of China (Grant No-12071376).

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  1. School of Mathematics and Statistics, Southwest University, Beibei, Chongqing, 400715, China

    Tapan Senapati & Guiyun Chen

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  1. Tapan Senapati
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  2. Guiyun Chen
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Senapati, T., Chen, G. Picture fuzzy WASPAS technique and its application in multi-criteria decision-making. Soft Comput 26, 4413–4421 (2022). https://doi.org/10.1007/s00500-022-06835-0

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