Reliability Modeling of Network Structures in a Fuzzy Environment

In data transmission networks, particularly in large-scale industrial systems, series-parallel designs are often used to maintain reliability and efficiency. A reliable network ensures rapid communication, data transmission, and access to network resources, as well as the prevention of data loss and corruption leaks caused by network failures. The series parallel approach is a generic strategy used in network systems to improve dependability by mixing resources from both series and parallel configurations. In this study, the authors have utilized the techniques of Universal Generating Function and Intuitionistic Fuzzy Sets to evaluate the reliability of a network system. As an example, a data-communication network system with sub-systems; router, switch and computers are designed. The authors model the reliability of the complete system considering a general system of the same and further calculate the fuzzy reliability of the series-parallel arrangement as an application to the above mentioned analytical techniques.