A novel approach for analyzing system reliability using generalized intuitionistic fuzzy Pareto lifetime distribution

The present work concentrates on vagueness in the lifetime parameter and the generalized intuitionistic fuzzy set are extended to reliability characteristics. In order to satisfy this purpose, generalized intuitionistic fuzzy numbers are applied to evaluate the reliability of dif- ferent systems. The reliability characteristics of systems using Pareto lifetime distribution are investigated where the lifetime scale parameter is assumed to be a generalized intuitionistic fuzzy number. In general, the generalized intuitionistic fuzzy reliability function, generalized intu- itionistic fuzzy conditional reliability function, generalized intuitionistic fuzzy hazard function, generalized intuitionistic fuzzy mean time to fail- ure and their cut sets are discussed. The whole mentioned reliability functions are discussed for generalized intuitionistic fuzzy Pareto life- time systems. Furthermore, reliability analysis of the series and parallel systems are performed and numerical example is illustrated based on the proposed approach.