Open AccessANALYSIS OF SYSTEM RELIABILITY OF AN ILLUMINATED DARK ROOM BY TIT2FNS FUZZY DATA WITH SOME OF ITS ARITHMETIC OPERATIONS
Author(s) -
Rahul Kar,
Ashok Kumar Shaw
Publication year - 2020
Publication title -
journal of mathematical sciences and computational mathematics
Language(s) - English
Resource type - Journals
eISSN - 2688-8300
pISSN - 2644-3368
DOI - 10.15864/jmscm.1406
Subject(s) - reliability (semiconductor) , component (thermodynamics) , fuzzy logic , reliability engineering , fuzzy number , computer science , algorithm , mathematics , arithmetic , data mining , fuzzy set , artificial intelligence , engineering , power (physics) , physics , quantum mechanics , thermodynamics
According to modern view uncertainty is considered essential to science and technology, it is not only the unavoidable plague but also it has impact a great utility. Generally, fuzzy sets are used to analyse fuzzy system reliability. To analyse the fuzzy system reliability, the reliability of each component of the system is considered as a Triangular intuitionistic Type 2 fuzzy number (TIT2FN). At first, TIT2FN and their arithmetic operations are introduced. Expressions for computing the fuzzy reliability of a series system and a parallel system following TIT2FN have been described. Here, an imprecise reliability model of an electric network model of a dark room is taken. To compute the imprecise reliability of the above said system, the reliability of each component of the systems is represented by TIT2FN. A corresponding numerical example is presented.