An Intuitionistic Fuzzy SWARA-AROMAN Decision-Making Framework for Sports Event Management

Abstract

In tackling the intricate challenge of selecting optimal cities for sports events, our innovative approach, the stepwise weight assessment ratio analysis (SWARA)-alternative ranking order method accounting for two-step normalization (AROMAN) method, merges the SWARA and the AROMAN under the intuitionistic fuzzy set (IFS)-based framework. Noteworthy for its integration of linear and vector normalization techniques, the AROMAN method ensures precise data structures, enhancing the reliability of subsequent calculations. A critical facet of our methodology is its practical application, exemplified in a comprehensive case study evaluating and ranking five alternative cities for hosting sports events. Criteria such as accessibility, facilities, community engagement, weather conditions, economic viability, safety, cultural fit, and environmental impact are considered. This real-world scenario demonstrates the SWARA-AROMAN method’s efficacy in navigating the complexities of city selection, providing decision-makers with a robust tool for informed choices in sports event management. The methodology not only acknowledges the nuanced dynamics of the selection process but also contributes to the creation of impactful and well-rounded sports experiences, aligning seamlessly with the evolving landscape of sports management.

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