The Bayesian reliability estimation under fuzzy environments is proposed in this paper. In order to apply the Bayesian approach, the fuzzy parameters are assumed to be fuzzy random variables with fuzzy prior distributions. The (conventional) Bayesian estimation method will be used to create the fuzzy Bayes point estimator of reliability by invoking the well-known theorem called ‘Resolution Iden...

To enhance the evaluation of the reliability recently featured many of the approaches linking the probability and fuzzy logic, the multi agent system can provide a connection between fuzzy logic and probability. In this article represents a new application of multi-agent model for evaluating the reliability indices of generation power system. Using agents of the probability for determining capa...

Software systems are becoming increasingly more complex and testing it to a reliable system requires a great deal of effort. Stochastically testing promises a solution to this increased testing burden and gives the opportunity to analyze reliability, mean time to failure etc. Today there is hundreds of reliability models with more models developed every year. Still, there exist no models that c...

To make the analysis more consistent and logical according to real life situations, in thispaper, the concept of trapezoidal vague set is extended by the idea of trapezoidal vaguesets of type-II. Also we have introduced: definition of trapezoidal vague set of type-IIand arithmetic operations between two trapezoidal vague sets of type-II. Further, a newmethod has been developed f...

Data in the real world can not be recorded or collected precisely due to human errors, machine errors, or some other unexpected situations. And reliability analysis is an important research topic in engineering. The data, however, can not be recorded precisely sometimes as described above. Then some researchers pay attention to the fuzzy reliability. In this paper, we are going to analyze the f...

The main purpose of this paper is to provide a methodology for discussing the fuzzy. Bayesian system reliability from the fuzzy component reliabilities, actually we discuss on the Fuzzy Bayesian system reliability assessment based on Pascal distribution, because the data sometimes cannot be measured and recorded precisely. In order to apply the Bayesian approach, the fuzzy parameters are assume...

Assessment of reliability analysis of paper plant with fuzzy logic technique has carried out in this paper. Fuzzy Weibull distribution and lifetime of a component is also determined. The paper plant is a complex system under consideration which consists of various subsystems such as chipping, feeding, pulp preparation, washing, screening, bleaching and paper production etc. The mathematical mod...

System reliability optimization is often faced with imprecise and conflicting goals such as reducing the cost of the system and improving the reliability of the system. The decision making process becomes fuzzy and multi-objective. In this paper, we formulate the problem as a fuzzy multi-objective nonlinear program (FMOOP). A fuzzy multiobjective genetic algorithm approach (FMGA) is proposed fo...