1. bookVolume 14-15 (2010): Issue 2010 (December 2010)
Journal Details
License
Format
Journal
eISSN
2083-4608
ISSN
1895-8281
First Published
26 Feb 2008
Publication timeframe
4 times per year
Languages
English
access type Open Access

Application of Fuzzy Set Theory for Risk Assessment

Published Online: 04 Aug 2010
Volume & Issue: Volume 14-15 (2010) - Issue 2010 (December 2010)
Page range: 187 - 196
Journal Details
License
Format
Journal
eISSN
2083-4608
ISSN
1895-8281
First Published
26 Feb 2008
Publication timeframe
4 times per year
Languages
English
Application of Fuzzy Set Theory for Risk Assessment

In our age safety, reliability and security are essential issues in modern engineering. Modern technical systems should meet technical, safety and environmental protection requirements. The risk can appear as personal injury or death, mission degradation, property technical damage or destruction. The risk is a measure of harm or loss associated with the human activity. It is the combination of the probability and the consequence of a specified hazard being realized. For decision making the experts need the opinions of other sciences, sometimes they have to consider moral questions. To make reliable decision, the risk of the given system or process should be known correctly. Fuzzy set theory is a relatively new mathematical tool to depict and model inaccuracy and uncertainty of the real world and human thinking. The paper and presentation will give a short overview of risk assessment and illustrates the possibility of use of proposed fuzzy set theory based method by a case study.

Keywords

Bowles, J. B. & Peláez C. E.: Fuzzy Logic Prioritization of Failures in a System Failure Mode, Effects and Criticality Analysis, Reliability Engineering and System Safety 50 (1995) 203-213.Search in Google Scholar

Gerigk M.: A Model of Risk for Assessment of Safety of Ships in Damaged Conditions, Journal of KONBiN 3 (6) 2008., 221-234. (DOI 10.2478/v10040-008-0069-8).10.2478/v10040-008-0069-8Search in Google Scholar

Hadjimichael M.: A Fuzzy Expert System for Aviation Risk Assessment, Expert Systems with Applications 36 (2009) 6512-6519.10.1016/j.eswa.2008.07.081Search in Google Scholar

Karimi I. & Hüllermeier E.: Risk Assessment System of Natural Hazards: A New Approach based on Fuzzy Probability, Fuzzy Sets and Systems 158 (2007) 987-999.Search in Google Scholar

Markowski A.S & Mannan M. S. & Bigoszewska A.: Fuzzy Logic for Process Safety Analysis, Journal of Loss Prevention in the Process Industries, (DOI:10.1016/j.jlp.2008.11.011).Search in Google Scholar

Markowski A. S. & Mannan M. S. & Bigoszewska A. & Siuta D.: Uncertainty Aspects in Process Hazard Analysis, 11th Annual Symposium, Mary Kay O'Connor Process Safety Center "Beyond Regulatory Compliance: Making Safety Second Nature" Texas A&M University, College Station, Texas, October 28-29, 2008., pp. 309-323.Search in Google Scholar

Nait-Said et al.: Modified Risk Graph Method Using Fuzzy Rule-Based Approach, Journal of Hazardous Materials (DOI:10.1016/j.jhazmat.2008.08.086).Search in Google Scholar

Pokorádi L.: Fuzzy Logic in the Aircraft Diagnostics, Proc. of 7th International Conference Airplanes and Helicopters Diagnostics, AIRDIAG' 2001, Ameliówka, Poland, 16-19. October 2001., p. 91-197.Search in Google Scholar

Pokorádi L.: Fuzzy Logic-Based Risk Assessment, AARMS, Academic and Applied Research in Military Science, Volume 1, Issue 1 (2002) p. 63-73.Search in Google Scholar

Pokorádi L.: Systems and Processes Modeling, Campus Kiadó, Debrecen, 2008, pp. 242. (in Hungarian).Search in Google Scholar

Smalko Z. & Szpytko J.: The Man-Machine Type systems Modeling Approach, Journal of KONBiN 5 (8) 2008. (ISSN 1895-8281), 171-188., (DOI 10.2478/v10040-008-0111-x)10.2478/v10040-008-0111-xSearch in Google Scholar

Smalko Z.: Relations between Safety and Security in Technical systems, International Journal of KONBiN. 1(3), 2007, 63-73., (DOI: 10.2478/v10040-008-0005-y).Search in Google Scholar

Zadeh L. A. (2009). Toward Extended Fuzzy Logic — A First Step, Fuzzy Sets and Systems Volume 160, Issue 21, 2009, p. 3175-3181 (DOI: 10.1016/j.fss.2009.04.009).Search in Google Scholar

Recommended articles from Trend MD

Plan your remote conference with Sciendo