Developing a Fuzzy Theory-Based Professional Baseball Big Data System with an App

Amidst the rapid evolution of information technology and its implication with sports, the analysis of sports information has been increasingly complex. The burgeoning realm of sports big data, rooted in the vast expanse of the internet, is expanding rapidly. The Chinese Professional Baseball League (CPBL), standing as Taiwan’s most popular professional baseball league and a prominent fixture in domestic sports, has attracted considerable attention regarding the prediction of games. However, the prediction results in baseball games remain a challenge. In this study, we employed a sophisticated fuzzy algorithm within an expert system analysis and used App Inventor to craft an interface tailored for predicting CPBL game results (win/loss). This mobile app interface empowers users to input pertinent data, encompassing details about teams and athletes to estimate probabilities of win or loss. Based on this approach, a professional baseball data inquiry mobile application (APP) was designed. This integration enables players and coaches to effortlessly access statistical insights on their smartphones or tablets at their convenience.