Reliability Analysis of the Engineering Systems Using Intuitionistic Fuzzy Set Theory
Joint Authors
Garg, Harish
Rani, Monica
Sharma, S. P.
Source
Journal of Quality and Reliability Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-11
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Engineering Sciences and Information Technology
Economics & Business Administration
Abstract EN
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.
American Psychological Association (APA)
Garg, Harish& Rani, Monica& Sharma, S. P.. 2013. Reliability Analysis of the Engineering Systems Using Intuitionistic Fuzzy Set Theory. Journal of Quality and Reliability Engineering،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-510245
Modern Language Association (MLA)
Garg, Harish…[et al.]. Reliability Analysis of the Engineering Systems Using Intuitionistic Fuzzy Set Theory. Journal of Quality and Reliability Engineering No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-510245
American Medical Association (AMA)
Garg, Harish& Rani, Monica& Sharma, S. P.. Reliability Analysis of the Engineering Systems Using Intuitionistic Fuzzy Set Theory. Journal of Quality and Reliability Engineering. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-510245
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-510245