The week's pick
Reseach Article
Uncertainty Modeling in Risk Analysis: A Fuzzy Set Approach
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 43 - Number 17 |
| Year of Publication: 2012 |
| Authors: Palash Dutta, Tazid Ali |
10.5120/6199-8734
|
Palash Dutta, Tazid Ali . Uncertainty Modeling in Risk Analysis: A Fuzzy Set Approach. International Journal of Computer Applications. 43, 17 ( April 2012), 35-39. DOI=10.5120/6199-8734
Abstract
Risk assessment is a popular and important tool in decision making process. Risk assessment is generally performed using models and model is a function of some parameters which are usually affected by uncertainty. Here, we consider that model parameters are affected by epistemic uncertainty. To represent epistemic uncertainty in general triangular fuzzy number or trapezoidal fuzzy numbers are used. In this paper, we study Gaussian fuzzy number to represent epistemic type uncertainty and try to fuse with triangular fuzzy numbers and also risk assessment is carried out under fuzzy environment.
References
- Bojadziev G. and Bojadziev, M. (1995). Fuzzy set, Fuzzy logic, application, (Singapore: world Scientific.)
- Dutta P., Boruah H. and Ali T. (2011). Fuzzy arithmetic with and without using -cut method: a comparative study”, International Journal of Latest Trends in Computing, vol-2, pp : 99-108.
- Pacheco M. A.C., Vellasco M .B. R.(2009) Intelligent Systems in Oil Field Development under Uncertainty. (Springer-Verlag, Berlin Heidelberg.)
- US EPA. 2001. Risk Assessment Guidance for Superfund, Volume I: Human Health Evaluation Manual (Part E, Supplemental Guidance for Dermal Risk Assessment). Office of Emergency and Remedial Response, EPA/540/R/99/005, Interim, Review Draft. United States Environmental Protection Agency. September 2001.
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