A new method and its application of handling fuzzy uncertainty of data in disaster risk assessment

Author

Xue, Ye ; Huang, Chongfu ; Huang, Xuzhu Wang

Author_Institution

Dept. of Math., Taiyuan Univ. of Technol., Taiyuan, China

Volume

1

fYear

2009

fDate

19-21 May 2009

Firstpage

421

Lastpage

425

Abstract

In this paper, for fuzzy uncertainty of data in disaster risk assessment, we suggest a method to granule the information. Its characteristics lie in exploiting the tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness, low solution cost and better support with reality. Its operation is more simple and transparent compared with other methods. It provides an important theory and method to describe fuzzy uncertainty of data. In addition, theoretically, we discuss the benefits of suggested method by their representations based on probability and rough set. And then, a simple application of estimating isoseismal area in disaster risk assessment fully demonstrates these advantages.

Keywords

disasters; fuzzy set theory; public administration; risk management; rough set theory; uncertainty handling; data fuzzy uncertainty; disaster risk assessment; imprecision tolerance; isoseismal area; partial truth tolerance; probability; rough set; uncertainty tolerance; Costs; Educational institutions; Fuzzy set theory; Fuzzy systems; Intelligent systems; Mathematics; Probability distribution; Risk management; Robustness; Uncertainty; Fuzzy information granulation; Probability; Risk assessment; Rough set; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems, 2009. GCIS '09. WRI Global Congress on

Conference_Location

Xiamen

Print_ISBN

978-0-7695-3571-5

Type

conf

DOI

10.1109/GCIS.2009.221

Filename

5209004