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Hence we judge that comprehensive desertification evaluation (2.046) belongs to 2
grade, the rest can be obtained in the same way. The results are showed in Table 2 in
comparision with traditional experiential judgment.
4 Conclusion
Floods occur frequently in China and cause great property losses and casualties. In
order to implement a compensation and disaster reduction plan, the losses caused by
flood disasters are among critically important information to flood disaster managers.
This study develops a method of flood loss evaluation model based on variable fuzzy
sets method, and it can be easily extended to other natural disasters. It has been tested
that the method is reliable and the results are consistent with the real values.
References
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Industrial Press, Beijing (1998)
2. Chen, S.Y.: Fuzzy recognition theory and application for complex water resources system
optimization. Jilin University Press, China (2002)
3. Chen, S.Y.: Theory and model of engineering variable fuzzy sets - mathematical basis for
fuzzy hydrology and water resources. Journal of Dalian University of Technology 45(2),
308-312 (2005)
4. Chen, S.Y.: Theory and model of variable fuzzy sets and its application. Dalian University of
Technology Press, Dalian (2009)
5. Palm, R.: Multiple-step-ahead prediction in control systems with Gaussian process models
and TS-fuzzy models. Engineering Applications of Artificial Intelligence 20(8), 1023-1035
(2007)
6. Jin, J.L., Zhang, X.L., Ding, J.: Projection Pursuit Model for Evaluating Grade of Flood
Disaster Loss. Systems Engineering-Theory & Practice 22(2), 140-144 (2002)
 
 
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