Risk analysis of combustion system using vague ranking method

Article type: Research Article

Authors: Verma, Manjit | Kumar, Amit | Singh, Pushpinder | Singh, Yaduvir

Affiliations: Department of Electrical Engineering NITK, Kurukshetra, India | School of Mathematics and Computer Applications, Thapar University, Patiala, India | Department of Applied Sciences, Gulzar Institute of Engineering and Technology, Khanna, India | Noida Institute of Engineering & Technology, Institutional Area, Phase II, Greater Noida, India

Note: [] Corresponding author. Manjit Verma, Department of Electrical Engineering NITK, Kurukshetra-136 119, India, E-mails: [email protected] (Manjit Verma), [email protected] (Amit Kumar), [email protected] (Pushpinder Singh), [email protected] (Yaduvir Singh).

Abstract: A new approach for vague risk analysis based on the ranking of trapezoidal vague sets is proposed. Firstly, a new method for ranking of vague sets is presented. Then, the proposed method is applied to developed a new method for dealing with vague risk analysis problems. This analysis helps us to find out the probability of failure of each components of combustion system, which could be used for managerial decision making and future system maintenance strategy. The proposed method provides a useful way for handling vague risk analysis problems.

Keywords: Ranking function, vague sets, fuzzy sets, vague risk analysis

DOI: 10.3233/IFS-2012-0596

Journal: Journal of Intelligent & Fuzzy Systems, vol. 24, no. 4, pp. 765-773, 2013