Reliability Analysis of the Engineering Systems Using Intuitionistic Fuzzy Set Theory. (11th September 2013)

• Record Type: Journal Article
• Authors: Garg, Harish; Rani, Monica; Sharma, S. P.
• Other Names: de Almeida Adiel Teixeira Academic Editor.
• Is Part Of: Journal of quality and reliability engineering. Volume 2013(2013)
• Publication Date: 2013-09-11
• Subjects: Reliability (Engineering) -- Periodicals; Engineering -- Quality control -- Periodicals; Failure analysis (Engineering) -- Periodicals; Engineering -- Quality control; Failure analysis (Engineering); Reliability (Engineering); Electronic journals; Periodicals; 620.0045
• DOI: 10.1155/2013/943972
• Languages: English
• ISSNs: 2314-8055

Abstract

Abstract : The present paper investigates the reliability analysis of industrial systems by using vague lambda-tau methodology in which information related to system components is uncertain and imprecise in nature. The uncertainties in the data are handled with the help of intuitionistic fuzzy set (IFS) theory rather than fuzzy set theory. Various reliability parameters are addressed for strengthening the analysis in terms of degree of acceptance and rejection of IFS. Performance as well as sensitivity analysis of the system parameter has been investigated for accessing the impact of taking wrong combinations on its performance. Finally results are compared with the existing traditional crisp and fuzzy methodologies results. The technique has been demonstrated through a case study of bleaching unit of a paper mill.