NDLI: Fuzzy Weibull for risk analysis

Content Provider	IEEE Xplore Digital Library
Author	Weber, D.P.
Copyright Year	1994
Description	Author affiliation: GE Aircraft Engines, Cincinnati, OH, USA (Weber, D.P.)
Abstract	Reliability and the life of components are frequently prime safety considerations. Extensive qualitative analysis employing probabilistic risk assessment has been widely performed to minimize hazards or accidents. Weibull probability data and information is a vital tool of quantitative risk assessments, but so are qualitative methods such as fault tree analysis. Qualitative aspects of product risk are subjective and contain many uncertainties. Most risk analyses do not have a means of dealing with uncertainty. Fuzzy set theoretical methods deal with supporting reasoning with uncertainty efficiently and conclusively. A unique fuzzy logic method employing Weibulls to represent membership functions for a set of fuzzy values along with "crisp" values has been developed for addressing uncertainties. The paper describes a type of AI software for risk analysis. A complete description is presented with parallels to previous methods. The model discussed is called fuzzy fault tree (FFT). It employs "fuzzy Weibull" membership functions which have been demonstrated in a working prototype. The prototype system which provides maximum utility in minimizing risk uncertainties is programmed in C for Apple Macintosh platforms. The results validate this application of fuzzy logic to qualitative risk assessment modeling, and lend credibility to the validity of the approach. The fuzzy Weibulls used in the modeling process perform quite well. Before developing FFT into an operational system, several calibration trials with a variety of risk assessment problems will be attempted.
Starting Page	456
Ending Page	461
File Size	600248
Page Count	6
File Format	PDF
ISBN	0780317866
DOI	10.1109/RAMS.1994.291151
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-01-24
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Risk analysis Uncertainty Risk management Fuzzy logic Fault trees Fuzzy sets Software prototyping Prototypes Safety Performance analysis
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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