Applied Multi-Attribute Decision-Making with Complex Pythagorean Fuzzy Data based on Prioritized Aczel–Alsina Aggregation Operators: A Case for a Software Company

Abstract

Complex Pythagorean fuzzy (C-PF) information is an extended form of fuzzy set theory. In this paper, we aim to compute the theory of prioritized aggregation operators based on Aczel-Alsina t-norm and t-conorm for managing the theory of C-PF information, such as C-PF prioritized Aczel-Alsina averaging, C-PF prioritized Aczel-Alsina ordered averaging, C-PF prioritized Aczel-Alsina geometric, and C-PF prioritized Aczel-Alsina ordered geometric operators. Three basic properties of the derived theory are also examined. Additionally, we illustrate the proposed multi-attribute decision-making technique for evaluating real-life problems related to software companies. Finally, we provide some examples to illustrate the contrast between derived work and previous or current information in order to demonstrate the ability and proficiency of the novel approach.