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Geological Engineering: Proceedings of the 1st International Conference (ICGE 2007)

Editor
Baosong Ma
Baosong Ma
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ISBN:
9780791802922
No. of Pages:
1760
Publisher:
ASME Press
Publication date:
2009

It was known that the condition effecting karst collapse was very complicated. Influential factors were various and interdependent, geologic body itself was heterogeneous and uncertain, and human activities were changeful. Thus, it had great application value and theoretical significance that introduced the fuzzy theory in prediction of karst collapse hazard. Fuzzy pattern recognition was used to predict the covered karst collapse hazard in Wuhan. Since existing closeness degree couldn't recognized efficiently, weight value was mingled with closeness degree and generalized Euclidean weight distance closeness degree was defined. In order to research, thirteen main factors of influencing karst collapse's hazard were...

Abstract
Introduction
Selection of the Index System of Covered Karsts and Its Determination of Weight
Principle of Fuzzy Pattern Recognition and Proposing of Generalized Euclidean Weight Distance Closeness Degree
Prediction of Karst Collapse Hazard
Conclusion
Acknowledgment
References
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