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Supply Chain Management Using Fermatean Fuzzy-Based Decision Making With ISSOA

Arunadevi ThirumalrajK. Ramakrishnan College of Technology, IndiaR J AnandhiV. RevathiS. StepheK. Ramakrishnan College of Engineering, India
2024en
ABI

Аннотация

The goal of this research is to create a decision-making process for sustainable supplier selection and order allocation that is known as Fermatean Fuzzy Sets-Based Decision Making (FFS-DMS). The Improved Salp Swarm Optimization (ISSO) approach is used to pick suppliers and allocate the best order quantities. The suggested FFS-ISSA-DMS technique's viability and efficacy are proven through empirical experiments. With an astounding 99.81% accuracy rate, this method outperforms other models that are already in use in this situation.

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