Optimization and scheduling of leisure sports events based on fuzzy decision support system

Abstract

Nowadays, leisure sports events are obtaining a significant role in the community at large, and they are acknowledged as an important choice in terms of lifestyle. The goal of these leisure sports events is to promote an active and healthy lifestyle while also fostering a sense of connection among participants of all abilities. Effective scheduling of leisure sports events based on fuzzy logic is important to handle uncertainties in the preference of participants over time and aims to enhance the efficiency and adaptability of the decision-making process. Hence, a technique named Fuzzy-assisted Leisure Sports Scheduling and Optimization (FLSS-O) is introduced to address the complexities in identifying the influencing factors of events for efficient decision making. Initially, the research focuses on collecting survey responses from participants in leisure sports events to assess their satisfaction and align event schedules with their preferences. The dynamic event scheduling incorporates linguistic preferences, and a Fuzzy Analytic Hierarchy Process(F-AHP) is applied to determine weights through a pairwise comparison matrix. The outcomes are used to calculate a fuzzy weighted sum for each selected criterion, which involves a decision-making process. The study emphasizes the importance of leisure sports to participants by prioritizing iteratively collected feedback and utilizing genetic algorithms to optimize the scheduling process continually. In this decision process, the imprecise alternatives in scheduling the events towards the specific performance based on criteria are fine-tuned by maximizing the participant preferences. The results demonstrate the effectiveness of our approach in aiding leisure sports event organizers to make informed decisions that balance time slots, adaptability, preferences, and participant-centric scheduling among varying age groups.