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

Abstract

In tackling the intricate challenge of selecting best 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 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. The effectiveness of the IF-SWARA-AROMAN method in addressing the intricacies of city selection is illustrated in this practical situation, which furnishes decision-makers with a reliable instrument to make well-informed decisions in the administration of sporting events. The methodology not only recognises the intricate intricacies of the selection process but also enhances the development of comprehensive and influential sports experiences, thereby harmonising effortlessly with the ever-changing realm of sports management.

Keywords

• Intuitionistic fuzzy sets
• MCDM
• SWARA
• AROMAN