2D Monte Carlo versus 2D Fuzzy Monte Carlo health risk assessment

Stochastic Environmental Research and Risk Assessment

Volumn 19, Issue 1, 2005, Pages 86-96

  Kentel, E ^a   Aral, Mustafa M ^a  

^a Georgia Institute of Technology   (United States)

Author keywords

Fuzzy numbers; Health risk assessment; Two dimensional Monte Carlo analysis; Uncertainty; Variability

Indexed keywords

FUZZY MATHEMATICS; HEALTH RISK; METHODOLOGY; MONTE CARLO ANALYSIS; RISK ASSESSMENT;

EID: 13944273410     PISSN: 14363240     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00477-004-0209-1     Document Type: Article

References (17)

1. Chen ZHuang GH. Chakma A (2003) Hybrid Fuzzy-Stochastic modeling approach for assessing environmental risks at contaminated groundwater systems. J. of Environ. Eng. 129(1): 79-88
2. Dubois D, Prade H (1988) Possibility Theory. Plenum, New York
3. Dubois D, Prade H (1992) When upper probabilities are possibility measures. Fuzzy Sets and Systems 49: 65-74
4. Guyonnet D, Bourgine B, Dobois D, Fargier H, Coôme B, Chilés J-P (2003) Hybrid Approach for addressing uncertainty in risk assessments. J. of Environ. Eng. 129(1): 68-78
5. Guyonnet D, Come B, Perrochet P, Parriaux A (1999) Comparing two methods for addressing uncertainty in risk assessment. J. of Environ. Eng. 125(7): 660-666 http://www.epa.gov/superfund/ programs/risk/rags3adt/pdf/ chapters1_2.pdf
6. Kato Y, Izuka T, Ohtsuki R, Yamaguchi S (1999) A proposal for a new fuzzy probability distribution function. 1999 IEEE International Fuzzy Systems Conference Proceedings, August 22-25, Seoul, Korea, III-1334-1339, 1999
7. Kaufmann A, Gupta MM (1985) Introduction to Fuzzy Arithmetic: Theory and Application. Van Nostrand Reinhold Co., New York
8. Kentel E, Aral MM (2004) Probabilistic-fuzzy health risk modeling. Stochastic Environmental Resea 18: 324-338
9. Klir GJ, Yuan B (1995) Fuzzy Sets and Fuzzy Logic: Theory and Applications. Prentice Hall PTR, New Jersey
10. Ma H-W (2000) The incorporation of stochasticity in risk analysis and management: A case study. Stochastic Environ. Research and Risk Assessment 14: 195-206
11. Maxwell RM, Kastenberg WE (1999) Stochastic environmental risk analysis: an integrated methodology for predicting cancer risk from contaminated groundwater. Stochastic Environ. Research and Risk Assessment 13: 27-49
12. McKone TE, Bogen KT (1991) Predicting the uncertainties in risk assessment. Environ. Sci. Technol. 25(10): 674-1681
13. Ross TJ (1995) Fuzzy Logic with Engineering Applications. McGraw-Hill, New York.
14. U.S. EPA (2001) RAGS Volume 3 Part A ∼ Process for Conducting Probabilistic Risk Assessment Chapter 1 ∼ December 31, 2001
15. Yager RR, Filev DP (1994) Essentials of Fuzzy Modeling and Control. John Wiley&Sons, Inc., New York
16. Zadeh LA (1965) Fuzzy Sets. Information and Control. 8: 338-353
17. Zimmerman HJ (1985) Fuzzy Set Theory and Its Applications. International Series in Management Science/Operations Research. Kluwer.Nijhoff Publishing, Boston