Complex fermatean fuzzy N-soft sets: a new hybrid model with applications

Abstract

[EN] Decision-making methods play an important role in the real-life of human beings and consist of choosing the best optionsfrom a set of possible choices. This paper proposes the notion of complex Fermatean fuzzy N-soft set (CFFNSf S) which, bymeans of ranking parameters, is capable of handling two-dimensional information related to the degree of satisfaction anddissatisfaction implicit in the nature of human decisions. We define the fundamental set-theoretic operations of CFFNSf Sand elaborate the CFFSf S associated with threshold. The algebraic and Yager operations on CFFNSf numbers are alsodefined. Several algorithms are proposed to demonstrate the applicability of CFFNSf S to multi-attribute decision making.The advanced algorithms are described and accomplished by several numerical examples. Then, a comparative study manifests the validity, feasibility, and reliability of the proposed model. This method is compared with the Fermatean fuzzy Yager weighted geometric (FFYwG) and the Fermatean fuzzy Yager weighted average (FFYwA) operators. Further, wedeveloped a remarkable CFFNSf-TOPSIS approach by applying innovative CFFNSf weighted average operator anddistance measure. The presented technique is fantastically designed for the classification of the most favorable alternativeby examining the closeness of all available choices from particular ideal solutions. Afterward, we demonstrate theamenability of the initiated approach by analyzing its tremendous potential to select the best city in the USA for farming. An integrated comparative analysis with existing Fermatean fuzzy TOPSIS technique is rendered to certify the terrificcapability of the established approach. Further, we decisively investigate the rationality and reliability of the presentedCFFNSf S and CFFNSf-TOPSIS approach by highlighting its advantages over the existent models and TOPSIS approaches.Finally, we holistically describe the conclusion of the whole work.