ScienceDirect® Home Skip Main Navigation Links
You have guest access to ScienceDirect. Find out more.
 
Home
Browse
My Settings
Alerts
Help
 Quick Search
 Search tips (Opens new window)
    Clear all fields    
advertisementadvertisement
Information Sciences
Volume 177, Issue 7, 1 April 2007, Pages 1583-1592
Fuzzy set applications in industrial engineering
 
Font Size: Decrease Font Size  Increase Font Size
 Abstract - selected
Article
Purchase PDF (211 K)

 
 
 
Related Articles in ScienceDirect
View More Related Articles
 
View Record in Scopus
 
doi:10.1016/j.ins.2006.07.033    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2006 Published by Elsevier Inc.

Soft risk maps of natural disasters and their applications to decision-makingstar, open

Chongfu Huanga, Corresponding Author Contact Information, E-mail The Corresponding Author and Hiroshi Inoueb

aInstitute of Disaster and Public Security, College of Resources Science and Technology, Beijing Normal University, Beijing 100875, China bSchool of Management, Tokyo University of Science, Kuki, Saitama 346, Japan

Received 20 July 2006; 
accepted 21 July 2006. 
Available online 22 August 2006.

Purchase the full-text article



References and further reading may be available for this article. To view references and further reading you must purchase this article.

Abstract

A soft risk map of natural disaster is aimed at the visualization of risk levels of natural disasters defined by the fuzzy probabilities. In this paper, we discuss three soft risk maps and show their applications. A soft risk map of flood is applied to help choose zones for investment in projects whose profits depend on water resources, cost and flood risk. A soft risk map of drought can help an investor to choose an appropriate city to invest in a flower shop whose profits depend on drought risk and the number of customers. With a soft risk map of earthquake, a licensee designing a nuclear power station can reasonably adjust the earthquake-resistant parameters to avoid underestimating earthquake.

Keywords: Natural disaster; Risk map; Fuzzy probability; Decision-making

Article Outline

1. Introduction
2. Soft risk maps
2.1. Risk maps
2.1.1. Fuzzy probability
2.2. Interior–outer-set model
2.3. Soft risk map
3. Benefits of a soft risk map for choosing zones for projects
3.1. Interval-weighted-average method to defuzzify a PPD
3.2. Flood risk map as a restriction
3.3. Projects, water resources and cost
3.4. Zones for the projects
4. Benefit of a soft risk map for choosing a city for a project
4.1. Drought risk map as a restriction
4.2. Appropriate city for the project
5. Benefit of a soft risk map for improving design of a nuclear power station
5.1. Earthquake risk map as a restriction
5.2. Next safe shutdown earthquake from a fuzzy probability distribution
6. Conclusions
Acknowledgements
References




Information Sciences
Volume 177, Issue 7, 1 April 2007, Pages 1583-1592
Fuzzy set applications in industrial engineering
 
Home
Browse
My Settings
Alerts
Help
Elsevier.com (Opens new window)
About ScienceDirect  |  Contact Us  |  Information for Advertisers  |  Terms & Conditions  |  Privacy Policy
Copyright © 2008 Elsevier B.V. All rights reserved. ScienceDirect® is a registered trademark of Elsevier B.V.