NDLI: Risk evaluation of China’s natural disaster systems: an approach based on triangular fuzzy numbers and stochastic simulation

Content Provider	Springer Nature Link
Author	Jin, Ju Liang Wei, Yi Ming Zou, Le Le Liu, Li Fu, Juan
Copyright Year	2011
Abstract	To deal effectively with the evaluation problem of natural disaster risk system affected by many uncertain factors, a multivariate connection number expression is presented. This expression is based on the index samples and evaluation grade criterions of natural disaster risk system and is capable of describing the hierarchy property and fuzziness of membership relationship between index samples and evaluation grade criterions. In this proposed method, the fuzzy evaluation grade criterion problem is resolved by combining triangular fuzzy numbers with multivariate connection number theory, and triangular fuzzy numbers are used to express the discrepancy degree coefficients of connection number and evaluation index weights. Accordingly, a connection number-based evaluation method for the natural disaster system of China (named CN-TFN for short) is established using triangular fuzzy numbers and stochastic simulation. The application results show that the spatial distribution of natural disaster risk grades of China has the trend of aggrandizement from west to east of China. The economically developed and densely populated coastal areas are very likely to have a high level of natural disaster risk grade or above; thus, these areas are the key regions of the natural disaster risk management of China. The results also show that the CN-TFN is able to reflect practical conditions of the evaluation problem of natural disaster system and to provide more reliability information as compared to the existing evaluation methods. This is as a result of its comprehensive usage of various information of subjective and objective uncertainties in the evaluation process of natural disaster risk system and its expression by confidence intervals. Due to the simplicity and generalization, the CN-TFM is applicable to comprehensive risk grade evaluation of various natural disaster systems.
Starting Page	129
Ending Page	139
Page Count	11
File Format	PDF
ISSN	0921030X
Journal	Natural Hazards
Volume Number	62
Issue Number	1
e-ISSN	15730840
Language	English
Publisher	Springer Netherlands
Publisher Date	2011-10-26
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Connection number Natural disaster Risk evaluation Risk management Set pair analysis Stochastic simulation Triangular fuzzy numbers Natural Hazards Environmental Management Civil Engineering Geotechnical Engineering & Applied Earth Sciences Hydrogeology Geophysics/Geodesy
Content Type	Text
Resource Type	Article
Subject	Atmospheric Science Water Science and Technology

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