Integrating pythagorean fuzzy soft sets with SWARA and WASPAS for enhanced MCDM in education 5.0: A novel approach for next generation engineering solutions
Abstract
This paper aims to introduce an innovative approach involving lattice implementation within the context of Pythagorean Fuzzy Soft Sets. It demonstrates several properties of this approach. The principal objective of this research is to amalgamate the Stepwise Weight Assessment Ratio Analysis (SWARA) and Weighted Aggregated Sum Product Assessment (WASPAS) methodologies, thus creating a comprehensive Multiple Criteria Decision-Making (MCDM) framework. This integration not only presents a new perspective in mathematical computing but also has intriguing principles. Within this integrated framework, alternative rankings are determined using the WASPAS approach, while the SWARA method is employed to generate criteria weights. The applicability of our proposed strategy is substantiated by addressing an MCDM challenge in the context of Education 5.0. The effectiveness and accessibility of this approach are evaluated by comparing its outcomes with those of previously established techniques.
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