Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14365/3969
Title: | Fuzzy disaster relief planning with credibility measures | Authors: | Mert A. Adıvar Özçam, Burcu |
Keywords: | Disaster management Emergency logistics Fuzzy linear programming Disasters Fuzzy set theory Linear programming Optimization Asset utilization Credibility measure Disaster management Emergency logistics Fuzzy linear programming Relief organizations Theoretical performance Vulnerable communities Disaster prevention |
Publisher: | Vilnius Gediminas Technical University | Abstract: | We propose a disaster relief planning model that can handle unclear information while maximizing the credibility of the relief organizations in the most cost efficient way. Considering the uncertainty and incompleteness of the disaster data, we propose a novel non-linear fuzzy credibility measure based on the timely arrival of the relief items. By using fuzzy linear programming, theoretical performance of the relief effort is optimized for the desired level of credibility and more effective asset utilization is provided. The applicability of the model is justified with real data to demonstrate its use for organizations to establish accountable and more credible status in the eyes of donor countries and vulnerable communities. © Izmir University of Economics, Turkey, 2010. | Description: | 24th Mini EURO Conference on Continuous Optimization and Information-Based Technologies in the Financial Sector, MEC EurOPT 2010 -- 23 June 2010 through 26 June 2010 -- Izmir -- 106702 | URI: | https://hdl.handle.net/20.500.14365/3969 | ISBN: | 9.78996E+12 |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection |
Files in This Item:
File | Size | Format | |
---|---|---|---|
2994.pdf Restricted Access | 443.23 kB | Adobe PDF | View/Open Request a copy |
CORE Recommender
SCOPUSTM
Citations
3
checked on Nov 20, 2024
Page view(s)
54
checked on Nov 18, 2024
Download(s)
4
checked on Nov 18, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.