Earticle

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

Abstract
 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

키워드

저자

• Xiaoxia Zhu [ School of Sciences, Hebei University of Science and Technology, Shijiazhuang (China) ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605