Akademik Məlumat İdarəetmə Sistemi
International Journal of Research Publication and Reviews, vol.7, no.2, pp.441-451, 2026 (Peer-Reviewed Journal)
The rapid adoption of cloud technologies in higher education institutions has become a strategic priority, particularly within Public–Private Partnership (PPP) frameworks that aim to enhance digital infrastructure, operational efficiency, and service quality. Despite their potential benefits, cloud-based systems introduce significant challenges related to security, data privacy, scalability, and trust between public and private stakeholders. These challenges are often characterized by uncertainty, subjectivity, and imprecise risk assessment, which limit the effectiveness of traditional deterministic evaluation models. This study proposes a Fuzzy Logic–based decision-support framework to analyze and manage security and scalability challenges in the adoption of cloud technologies within higher education PPP environments. By modeling qualitative factors such as perceived security risk, trust level, regulatory compliance, service reliability, and scalability demand using linguistic variables and fuzzy inference rules, the proposed approach enables a more flexible and humancentric assessment of cloud adoption readiness. The framework supports decision-makers in evaluating trade-offs between security assurance and scalability requirements under uncertain conditions. The results demonstrate that fuzzy logic enhances transparency and interpretability in cloud governance decisions, offering a robust methodological foundation for policymakers, university administrators, and private service providers involved in PPP-based digital transformation initiatives in higher education.