Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/11486
Title: The role of fuzzy sets in improving maximal covering location problem (MCLP)
Authors: Takači, Aleksandar 
Marić, Miroslav
Drakulić, Darko
Issue Date: 12-Dec-2012
Publisher: IEEE - Institute of Electrical and Electronics Engineers
Journal: 2012 IEEE 10th Jubilee International Symposium on Intelligent Systems and Informatics, SISY 2012, Proceedings
Conference: 10th Jubilee International Symposium on Intelligent Systems and Informatics, 20-22 Sept. 2012
Abstract: In this paper an extension of fuzzy maximal covering location time problem (FMCLP) is presented. The travel times are considered to be linear, trapezoidal or Gaussian fuzzy numbers and the radius is considered to be a fuzzy set of a right shoulder type. For obtaining the distance a fuzzy ordering relation was used to compare distances to the radius. In order to solve the FMCLP problem we used discrete particle swarm optimization (DPSO) algorithm. Theoretical results show that the proposed DPSO algorithm is very competitive for FMCLP problem. © 2012 IEEE.
URI: https://open.uns.ac.rs/handle/123456789/11486
ISBN: 9781467347518
DOI: 10.1109/SISY.2012.6339496
Appears in Collections:TF Publikacije/Publications

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