Fuzzy-Control-Based Chance-Constrained Programming for Humanitarian Relief Allocation Problem

In this article, the issue of multicenter and single-area humanitarian relief allocation with uncertain travel time and imprecise transportation information is investigated. Expert human knowledge using fuzzy control is employed to select rescue paths, and the considered problem is formulated as a f...

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Bibliographic Details
Published in:IEEE transactions on fuzzy systems Vol. 30; no. 6; pp. 2044 - 2054
Main Authors: Zhang, Jianghua, Liu, Yang, Su, Xiaojie, Shi, Peng
Format: Journal Article
Language:English
Published: New York IEEE 01.06.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Disaster relief
Fuzzy control
fuzzy number
humanitarian rescue
Humanitarianism
Logistics
Mixed integer
Optimization
resource allocation
Resource management
Stochastic processes
Transportation
Travel time
Uncertainty
ISSN:1063-6706, 1941-0034
Online Access:Get full text
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Summary:In this article, the issue of multicenter and single-area humanitarian relief allocation with uncertain travel time and imprecise transportation information is investigated. Expert human knowledge using fuzzy control is employed to select rescue paths, and the considered problem is formulated as a fuzzy chance-constrained model to ensure that the allocated goods can be delivered to the disaster area on time within a desired probability. A new method is presented to transform chance-constrained programming into a mixed-integer model utilizing triangle fuzzy numbers and the robust optimization problem. A practical example is used to test the validity of the theoretic results obtained.
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ISSN:1063-6706
1941-0034
DOI:10.1109/TFUZZ.2021.3073474