Big Data Informatization Empowers Integrity Building in University Sports under Type-2 Neutrosophic fuzzy sets: Theoretical Framework, Practical Dilemmas and Institutional Innovation Evaluation

Big data and informatization have created new avenues for improving university athletics' accountability, ethics, and transparency. The use of digital technology provides creative ways to uphold integrity as higher education institutions increasingly struggle to protect equity and fight corruption in athletics. This study investigates how big data technologies, such as digital performance portfolios, blockchain, artificial intelligence, and smart supervision platforms, enable academic institutions to set up transparent and impenetrable systems for fair evaluation, anti-doping detection, and record-keeping. Additionally, the study highlights how informatization may be used to promote sports ethics education through data-driven feedback and e-learning modules, resulting in a multifaceted framework that blends human values with technical accuracy. This study proposes a neutrosophic model to solve uncertainty. We use the Type-2 neutrosophic fuzzy set. We show the criteria weights and ranking the alternative. University athletics can promote trust, equity, and long-term cultural sustainability by fusing integrity-focused governance with cutting-edge data analytics. The results emphasize how crucial it is to strike a balance between ethical teaching and technology innovation to create a comprehensive integrity system in athletic settings.