Evaluation of Maximum Reliability Using Co-efficient of Variance for Parallel System Model

Abstract

The reliability analysis of a component or a system is an important concept in almost all engineering disciplines. In general, fuzzy sets are used to analyze the system reliability. The system reliability may be formed as linear or nonlinear programming with cost function in fuzzy environment. To analyze the fuzzy system reliability, the reliability of each component of the system is represented as fuzzy number in nature. In this paper, we have presented the parallel system model with fuzzy cost function to evaluate the maximum reliability subject to minimum cost using trapezoidal fuzzy number and to find out the Co-efficient of Variance for each membership function. A numerical example is given to illustrate the model for nonlinear programming and to evaluate the system reliability.

Evaluation of NSE Price Data Using Reliability of Series Structure Model

“…Yuan et al [11] and Benjamin Epstein et al [2] have investigated special techniques and solutions on series structure in different situation. Abdul Razak at al [1] presented the parallel system model to evaluate the maximum reliability using co-efficient of variance. Ruan & Sun [8] offered a correct method for least cost problem in series reliability system with several element choices.…”