Fuzzy Reliability Analysis of a Multi-sensor Fusion System

Reliability models for various fault tolerant computer architectures are developed. Markov model is very useful calculating with state space by using transition probability and initial value. In practice, sometimes we can not have the exact values of lambda, mu, rho but with some uncertainty about these values. The combination fuzzy logic and Markov model method is introduced and analyzed besides the traditionally used reliability measures such as multi-sensor system reliability. This reliability model is a technique for analyzing fault tolerant designs under considerable uncertainty, such as the component failure rates. The presented model provides the estimation of the lower and upper boundary of multi-sensor fusion system with a single run of the model.