Sharma Anurag, Jha Manoj, Qureshi M.F
Fuzzy set based methods have been proved to be effective in handling many types of uncertainties in different fields, including reliability engineering. This paper presents a new approach on fuzzy type-2 reliability, based on the use of type-2 FOU as membership function. Considering experts ideas and by asking operators linguistic variables, a rule base is designed to determine the level of reliability of each component. The outputs of the presented model are type-2 fuzzy sets representing the reliability levels of components. After determining the level of reliability of each component, the reliability of the composed system can be determined by using t-norm and s-norm functions. The system can be parallel, series, parallel- series or series-parallel. In the present paper the probabilistic consideration of basic events is replaced by possibilities, thereby leading to fuzzy fault tree analysis. Triangular and trapezoidal type-2 fuzzy numbers are used to represent the failure possibility of basic events. The failure possibility of a basic event will be assigned more than one type-2 fuzzy numbers by different experts under various operating conditions. The proposed techniques are discussed and illustrated by taking an example of a Thermal power plant
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