원문정보
초록
영어
In this paper, we analyzed the essential meaning of the catastrophe risk on the basis of many results that is the bottleneck of the catastrophe risk analysis is complex. One way to resolve or alleviate this problem is to analyze the risk from the viewpoint of fuzzy logic-fuzzy catastrophic risk (FCR) analysis. We propose the concept of synthetic effect, present its axiomatic foundation, and further establish a FCR model based on synthetic effect as well as the general solution model. Finally, we specify the model by considering catastrophe risk in Shanghai. The results indicate that the method is not only accommodates the existing fuzzy decision-making methods, but also successfully incorporates the decision preference into the optimization process. Therefore, the FCR model can be widely used in many fields such as complex systems optimization and decision-making.
목차
1. Introduction
1.1. Data Analysis Method
1.2. Simulation Method
1.3. The Mathematic Model and Method
1.4. Remote Sensing GIS Method
2. Theoretical bases
2.1. Fuzzy number and its Transformation rules
2.2. Fuzzy Information Standardization Rules
2.3. Compound Quantification Description of Fuzzy Number
3. FCR Assessment Model based on Synthetic Effect
3.1. The General Form of Assessment Model
3.2. FCR Assessment Model
4. Comprehensive Assessment of FCR in Shanghai
4.1. Index Systems and Weights of the Catastrophe Risk
4.2. Data Acquisition and Analysis of the Assessment Results
5. Conclusion and Prospection
Acknowledgements
References
Appendix A