A Theoretical Development of Cubic Pythagorean Fuzzy Soft Set with Its Application in Multi-Attribute Decision Making

Scientific progression has allowed researchers to develop novel and innovative ways deal with uncertainty in data, allowing for the development of more precise accurate data representation models. This paper aims extend an already reported concept Cubic Pythagorean fuzzy set Fuzzy Soft Set (CPFSs) as it incorporates both interval-valued sets (IVPFS) (PFS) at same time, providing a targeted approach uncertainty. hybrid structure can better handle comparison ones literature by having characteristics PFS soft sets, leading attributes decision-making studies. In this study, we defined various internals externals CPFSs, operators, aggregation developed algorithm based on distance measures (CPFSs), which are applied disease diagnostic problem.