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Particle swarm optimization selection based on the TOPSIS technique

  • Fuzzy systems and their mathematics
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Abstract

The triangular fermatean fuzzy sets integrated by fermatean fuzzy sets and triangular fuzzy variables are presented in this object. This paper presented a triangular fermatean fuzzy sets and operational laws. We define Einstein technique to TFFSs and define the multi-attribute group decision-making based on TOPSIS technique. We define the TFF-AHP-TOPSIS technique for particle swarm optimization. Then, a novel TF-Einstein-based multi-attribute group decision-making model combining the proposed aggregation operators and generalized distance is created. Their TFF-AHP-TOPSIS technique deliberated and a PIS and NIS are offered. Finally, a numerical example is based on TFF-AHP-TOPSIS technique. We advance examination the rationality and advantages of the proposed method through sensitivity analysis and reliability study. Multiple attribute decision-making expression main parts in our ordinary lifetime.

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  1. Department of Mathematics, The University of Faisalabad, Faisalabad, Pakistan

    Aliya Fahmi

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  1. Aliya Fahmi
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Correspondence to Aliya Fahmi.

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Fahmi, A. Particle swarm optimization selection based on the TOPSIS technique. Soft Comput 27, 9225–9245 (2023). https://doi.org/10.1007/s00500-023-08200-1

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