Archimedean t-Norm and t-Conorm-Based Aggregation Operators of HFNs, with the Approach of Improving Education

The aim of this paper is to develop the calculus hesitant fuzzy numbers (HFNs), have been recently proposed as newest extension sets. At first, based on willingness decision maker each part HFNs, a new method has compare them. Then, several t-norm and t-conorm-based aggregation operators i.e., algebraic t-conorm, Einstein Hamacher Frank t-conorm defined, some their mathematical properties are also discussed. As special cases above Archimedean HFN weighted averaging operator, geometric ordered operator proposed. problem improving process educational activities under Covid-19 epidemic conditions, for instance, defined multi-attribute group decision-making (MAGDM) problem, in which students its options, courses criteria, teachers members team. scores final exams teachers’ assessments merged together before mentioned solve resulting MAGDM problem. A numerical example, results analyzed, responsible explaining what article. Finally, subsequent studies area briefly stated.