By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Ye Xue ; Dept. of Math., Taiyuan Univ. of Technol., Taiyuan, China ; Chongfu Huang ; Xuzhu Wang Huang

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.

Published in:

Intelligent Systems, 2009. GCIS '09. WRI Global Congress on  (Volume:1 )

Date of Conference:

19-21 May 2009