Sustainability Evaluation of Sports Industry Policy Using Circular Picture Fuzzy MAGDM With MACROS Method

Abstract

This study proposes a novel Circular Picture Fuzzy Set (C-PFS) framework integrated with Multi-Attribute Group Decision-Making (MAGDM) using the MACROS method to evaluate the sustainability of sports industry policies. The model addresses limitations of conventional fuzzy and picture fuzzy sets by introducing radius parameters for membership, non-membership, and neutrality, thereby enhancing precision in uncertain decision-making environments. In order to improve on conventional fuzzy and picture fuzzy models, this study makes use of the circular picture fuzzy set (C-PFS) framework, which adds special radius parameters for membership, non-membership, and neutrality. This refined method works especially well for analyzing complicated and unpredictable decision-making situations, like sustainability evaluations of sports industry regulations. In order to thoroughly examine policy sustainability, we suggest a novel analytical approach that combines C-PFS with a multi-attribute group decision-making (MAGDM) technique using the MACROS method. The proposed model effectively lowers uncertainty and subjective biases in policy evaluations by integrating qualitative and quantitative sustainability criteria. To demonstrate its applicability, we assess key sustainability facets of sports industry policies in a case study, including social inclusivity, environmental stewardship, and economic viability. According to the results, the C-PFS-based method offers a more accurate and reliable assessment than traditional techniques. This framework can be applied to other policy evaluation domains and improves decision-making processes in sports policy assessment.