Generalized Orthopair Fuzzy Sets

By Ronald R. Yager. IEEE transactions on fuzzy systems, 2017

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Linear Diophantine fuzzy set and its applications towards multi-attribute decision-making problems (2019, neutral): “To extend the space of IFS and PFS many researchers have studied another model named as q-rung orthopair fuzzy set (q-ROFS) [10–12].”
Fermatean fuzzy sets (2019, background): “Yager (2017) introduced a general class of these sets called q -rung orthopair fuzzy sets in which the sum of the qth power of the support for and the qth power of the support against is bonded by one.”
Scientific Decision Framework for Evaluation of Renewable Energy Sources under Q-Rung Orthopair Fuzzy Set with Partially Known Weight Information (2019, methodology): “The preference information used here is q-rung orthopair fuzzy set (q-ROFS) [10], which is a powerful generalization of the intuitionistic fuzzy set (IFS) [11] and Pythagorean fuzzy set [12].”
Multiple-Attribute Decision-Making Based on Archimedean Bonferroni Operators of q-Rung Orthopair Fuzzy Numbers (2019, methodology): “In order to better understand this paper, we will introduce some basic and useful concepts of q-ROFSs [43], ATT, and BM operator [4], [41] in this section.”
Some q‐Rung Orthopair Fuzzy Aggregation Operators and their Applications to Multiple‐Attribute Decision Making (2018, methodology): “31 then an accuracy function H of A is deﬁned as follows:”