International Journal of Computational Intelligence Systems

Volume 9, Issue 4, August 2016, Pages 734 - 744

An approach for solving maximal covering location problems with fuzzy constraints

Authors
Virgilio C. Guzmán1, vguzman@uagro.mx, David A. Pelta2, dpelta@decsai.ugr.es, José L. Verdegay2, verdegay@decsai.ugr.es
Received 11 November 2015, Accepted 11 April 2016, Available Online 1 August 2016.
DOI
10.1080/18756891.2016.1204121How to use a DOI?
Keywords
Location Problems; Maximal Covering; Uncertainty; Soft Computing; Fuzzy sets
Abstract

Several real-world situations can be modeled as maximal covering location problem (MCLP), which is focused on finding the best locations for a certain number of facilities that maximizes the coverage of demand nodes located within a given exact coverage distance (or travel time). In a real scenario, such distance as well as other elements of the location problem can be uncertain or linguistically (vaguely) defined by the decision maker. In this paper, we manage flexibility in the coverage distance through a fuzzy constraint. So, an extension of the original MCLP model is proposed, which is solved by using a parametric approach. Computational experiments have been conducted to analyze how the proposed model can be solved and what kind of information can be obtained to help a potential decision maker to take a more informed decision.

Copyright
© 2016. the authors. Co-published by Atlantis Press and Taylor & Francis
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
9 - 4
Pages
734 - 744
Publication Date
2016/08/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.1080/18756891.2016.1204121How to use a DOI?
Copyright
© 2016. the authors. Co-published by Atlantis Press and Taylor & Francis
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Virgilio C. Guzmán
AU  - David A. Pelta
AU  - José L. Verdegay
PY  - 2016
DA  - 2016/08/01
TI  - An approach for solving maximal covering location problems with fuzzy constraints
JO  - International Journal of Computational Intelligence Systems
SP  - 734
EP  - 744
VL  - 9
IS  - 4
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2016.1204121
DO  - 10.1080/18756891.2016.1204121
ID  - Guzmán2016
ER  -