IEEE Access (Jan 2024)
Parameter Selection Impacting Software Reliability by Utilizing WASPAS Technique Based on Tangent Trigonometric Complex Fuzzy Aggregation Operators
Abstract
Software reliability is a paramount quality attribute that manifests itself in the likelihood of failure-free operation. The development of systems with growing complexity complicates the assessment and enhancement of reliability owing to technical and managerial factors. The vague concept of fuzzy sets and their generalizations have been useful since they can be applied to dealing with imprecise and unreliable information. To overcome the issues of software reliability and the complex, ambiguous nature of information parameters, this paper suggests a new way to use the fuzzy complex set in addition to multi-criteria decision-making to analyze the effect of various software parameters. The investigation starts by explaining the concept of the tangent trigonometric complex fuzzy set and the operations connected with it. Then, it gives the aggregation operators in the complex fuzzy sets, including the tangent trigonometric complex fuzzy weighted averaging and the tangent trigonometric complex fuzzy weighted geometric operators with their basic properties. Consequently, we apply the obtained operators to a multi-criteria decision-making method called the “Weighted Aggregated Sum Product Assessment” in the context of complex fuzzy sets. Next, we go into details of the proposed technique by taking a case study of a “Parameter Selection Impacting Software Reliability”. Furthermore, the study analyzes the given approach with other existing theories to show the benefits and superiority of the newly developed approach. This paper provides a detailed and original approach that combines complex fuzzy sets of and multi-criteria decision-making methods in order to overcome the obstacles of software reliability evaluation in the presence of complex and ambiguous information.
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