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A fuzzy-probabilistic earthquake risk assessment system

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Abstract

This paper presents an outline of a risk assessment system for evaluating the expected damage of structures and the consequent financial losses and casualties due to a likely earthquake under elevated uncertain conditions; namely where neither the statistical data nor the seismological and engineering knowledge required for such evaluations are sufficient. In such cases, we should consider extra dimensions of uncertainty, in addition to probability that is usually sufficient for expressing the risk of losses and casualties due to an earthquake where such knowledge and data is available. In the present paper, the uncertainties caused by the insufficient knowledge about the interdependency of various parameters have been considered by means of fuzzy relations. Moreover, the uncertainties in eliciting the likelihood of the seismic hazard have been expressed by fuzzy probability in the form of possibility-probability distributions (PPDs). In other words, fuzzy set theory is employed to complement the standard probability theory with a second dimension of uncertainty. By composition of the fuzzy probability of the seismic hazard and fuzzy vulnerability relation of target structure, the fuzzy probability of damage can be derived. The proposed approach has also been compared with an alternative approach for obtaining a PPD of the hazard. As a case study, the risk assessment system has been tested on a sample structure in the Istanbul metropolitan area.

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References

  1. American Red Cross-Turkish Red Crescent (2002) Earthquake risk assessment for istanbul metropolitan area, Boğazi çi University, Turkey

  2. Boore D, Joyner W, Fumal T (1997) Equations for estimating horizontal response spectra and peak acceleration from Western North American earthquakes: a summary of recent work. Seismol Res Lett 68(1):128–153

    Google Scholar 

  3. Cooman G, Ruan D, Kerre E (eds) (1995) Advances in fuzzy systems, vol 8. World Scientific, Singapore

    Google Scholar 

  4. Dempster A (1967) Upper and lower probabilities generated by a random closed interval. Annu Math Stat 38:325–339

    MATH  MathSciNet  Google Scholar 

  5. Dubois D, Prade H (1998) Possibility theory. Plenum, New York

    MATH  Google Scholar 

  6. Dubois D, Prade H, Smets Ph (2001) New semantics for quantitative possibility theory. In: 2nd international symposium on imprecise probabilities and their applications, Ithaca, New York

  7. FEMA 273 (1997) NEHRP guidelines for the seismic rehabilitation of buildings. Federal Emergency Management Agency, Washington, DC

  8. HAZUS® MH Technical Manual (2003) Multi-hazard loss estimation methodology, earthquake model. Federal Emergency Management Agency, Washington, DC

  9. Huang C, Moraga C (2002) A fuzzy risk model and its matrix algorithm. Int J Uncertain Fuzziness Knowl -Based Syst 4:347–362

    Article  MATH  MathSciNet  Google Scholar 

  10. Karimi I, Hüllermeier E, Meskouris K (2004) An earthquake risk assessment method based on fuzzy probability. In: Applied computational intelligence. World Scientific, pp 376–381

  11. http:// yorku.ca/esse/veo/earth/sub1-10.htm

  12. Lucas C, Araabi B (1999) Generalization of the Dempster–Shafer theory: a fuzzy-valued measure. IEEE Trans Fuzzy Syst 7:255–270

    Article  Google Scholar 

  13. Möller B, Beer M (2003) Fuzzy randomness. Springer, Berlin Heidelberg New York

    MATH  Google Scholar 

  14. Shafer G (1976) A mathematical theory of evidence. Princeton University Press, New York

    MATH  Google Scholar 

  15. Tanaka H, Fan C, Lai F, Toguchi K (1983) Fault tree analysis by fuzzy probability. IEEE Trans Reliab R-32(5):453–457

    Article  MATH  Google Scholar 

  16. Wolkenhauer O (1998) Possibility theory with applications to data analysis. Research Studies Press Ltd., UK

    MATH  Google Scholar 

  17. Zimmermann HJ (1996) Fuzzy sets theory and its applications, 3rd edn. Kluwer, Dordrecht

    Google Scholar 

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Correspondence to Iman Karimi.

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Karimi, I., Hüllermeier, E. & Meskouris, K. A fuzzy-probabilistic earthquake risk assessment system. Soft Comput 11, 229–238 (2007). https://doi.org/10.1007/s00500-006-0063-9

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