Ph.D. student, West Tehran branch, Islamic Azad University, Tehran, Iran.
Abstract
The fuzzy logic concept provides a natural way of dealing with problems in which the source of imprecision is an absence of sharply defined criteria rather than the presence of random variables. The fuzzy approach considers cases where uncertainties play a role in the control mechanism of the concerned phenomena. Fuzzy modeling includes fuzzification, fuzzy analysis and defuzzification. In this paper, the basic of fuzzy theory and all three steps are discussed and a tangible example which includes the application of fuzzy modeling in dealing with uncertainty in data to produce fragility curves is demonstrated step by step. The results are compared to other results of recent studies.
Ahmadi Brace, M. (2014). Application of Fuzzy Modeling to Earthquake Engineering: Seismic Performance of Cylindrical Tanks. Journal of Structural Engineering and Geo-Techniques, 4(4), 5-9.
MLA
Milad Ahmadi Brace. "Application of Fuzzy Modeling to Earthquake Engineering: Seismic Performance of Cylindrical Tanks". Journal of Structural Engineering and Geo-Techniques, 4, 4, 2014, 5-9.
HARVARD
Ahmadi Brace, M. (2014). 'Application of Fuzzy Modeling to Earthquake Engineering: Seismic Performance of Cylindrical Tanks', Journal of Structural Engineering and Geo-Techniques, 4(4), pp. 5-9.
VANCOUVER
Ahmadi Brace, M. Application of Fuzzy Modeling to Earthquake Engineering: Seismic Performance of Cylindrical Tanks. Journal of Structural Engineering and Geo-Techniques, 2014; 4(4): 5-9.
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