Study on Posbist Systems
Author(s) -
Subarna Bhattacharjee,
Asok K. Nanda,
Shariful Alam
Publication year - 2012
Publication title -
international journal of quality statistics and reliability
Language(s) - English
Resource type - Journals
eISSN - 1687-7152
pISSN - 1687-7144
DOI - 10.1155/2012/870984
Subject(s) - algorithm , computer science , cauchy distribution , reliability (semiconductor) , artificial intelligence , mathematics , statistics , physics , thermodynamics , power (physics)
The probability theory, in general, with the help of the dichotomous state develops the theory of reliability. Recently, the fuzzy reliability has been developed based on the concept of possibility distribution and fuzzy-state assumption. In this paper, we derive the possibility distribution function and discuss the properties of a k-out-of-n (1≤k≤n) system based on the assumption of the possibility theory and keeping the dichotomous state of the system unchanged when the lifetime distribution is either normal, Cauchy, or exponential. A few results contrary to the conventional reliability theory are obtained
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