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Cubic intuitionistic WASPAS technique and its application in multi-criteria decision-making

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Abstract

Multi-criteria decision-making (MCDM) approaches have acquired various expansions under uncertain conditions in current years. The purpose of the current study is to broaden the implementation of the weighted aggregated sum product assessment (WASPAS) technique for decision-making (DM) in an uncertain environment. Thinking about the benefits of cubic intuitionistic sets (CIS) in dealing with the issue of uncertainty, the improvement of the cubic intuitionistic WASPAS (CI-WASPAS) technique for DM is taken into consideration within the paper. Experimental outcomes obtained for a real-world issue regarding bridge construction selection indicates that the suggested technique performs well compared to other established classification techniques.

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Acknowledgements

The author is very grateful to the anonymous referees for their insightful and constructive comments and suggestions, which have been very helpful in improving the paper. This work is supported by the National Natural Science Foundation of China (Grant No-11671324).

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Authors and Affiliations

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

    Tapan Senapati

  2. Machine Intelligence Institute, Iona College, New Rochelle, NY, 10801, USA

    Ronald R. Yager

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

    Guiyun Chen

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  1. Tapan Senapati
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  2. Ronald R. Yager
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  3. Guiyun Chen
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Correspondence to Tapan Senapati.

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Senapati, T., Yager, R.R. & Chen, G. Cubic intuitionistic WASPAS technique and its application in multi-criteria decision-making. J Ambient Intell Human Comput 12, 8823–8833 (2021). https://doi.org/10.1007/s12652-020-02667-8

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