Abstract
This chapter presents a spatial decision support system called FuzzyCovering, which is designed to support the decision-making process related to facility location problems. Different components that facilitate modeling, the solution and results display, specifically about covering location problems are integrated in FuzzyCovering. FuzzyCovering allows the study of various scenarios of facilities location and provides a range of solutions that allow the users to make the best decisions. To treat the uncertainty inherent to some underlying parameters of the real location problems, FuzzyCovering integrates a fuzzy approach in which the problem constraints can be imprecisely defined. A detailed description of the architecture and functionality of the system is presented, and a simulated practical case of a maximal covering location problem with fuzzy constraints is shown to demonstrate the benefits of FuzzyCovering.
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References
Batanović, V., Petrović, D., Petrović, R.: Fuzzy logic based algorithms for maximum covering location problems. Inf. Sci. 179(1–2), 120–129 (2009)
Berman, O., Krass, D., Drezner, Z.: The gradual covering decay location problem on a network. Eur. J. Oper. Res. 151(3), 474–480 (2003)
Brotcorne, L., Laporte, G., Semet, F.: Ambulance location and relocation models. Eur. J. Oper. Res. 147(3), 451–463 (2003)
Cadenas, J., Verdegay, J.: Towards a new strategy for solving fuzzy optimization problems. Fuzzy Optim. Decision Mak. 8(3), 231–244 (2009)
Church, R., Revelle, C.: The maximal covering location problem. Pap. Reg. Sci. Assoc. 32(1), 101–118 (1974)
Curtin, K.M., Hayslett-McCall, K., Qiu, F.: Determining optimal police patrol areas with maximal covering and backup covering location models. Netw. Spat. Econ. 10(1), 125–145 (2007)
Davari, S., Zarandi, M.H.F., Turksen, I.B.: A greedy variable neighborhood search heuristic for the maximal covering location problem with fuzzy coverage radii. Knowl.-Based Syst. 41, 68–76 (2013)
Delgado, M., Verdegay, J., Vila, M.: A general model for fuzzy linear programming. Fuzzy Sets Syst. 29, 21–29 (1989)
Densham, P.J.: Spatial decision support systems. Geographical Information Systems: Principles and Applications, vol. 1, pp. 403–412. Longman, Publishing Group, London (1991)
Guzman, V.C., Verdegay, J.L., Pelta, D.A.: Fuzzy models and resolution methods for covering location problems: an annotated bibliography. Int. J. Uncertain. Fuzziness Knowl.-Based Syst. (2016) (In press)
Jaillet, P.: Airline network design and hub location problems. Locat. Sci. 4(3), 195–212 (1996)
Jia, H., Ordóñez, F., Dessouky, M.: A modeling framework for facility location of medical services for large-scale emergencies. IIE Trans. 39(1), 41–55 (2007)
Karasakal, O., Karasakal, E.K.: A maximal covering location model in the presence of partial coverage. Comput. Oper. Res. 31(9), 1515–1526 (2004)
Lee, G., Murray, A.T.: Maximal covering with network survivability requirements in wireless mesh networks. Comput. Environ. Urban Syst. 34(1), 49–57 (2010)
Murali, P., Ordóñez, F., Dessouky, M.M.: Facility location under demand uncertainty: response to a large-scale bio-terror attack. Socio-Econ. Plan. Sci. 46(1), 78–87 (2012)
Selim, H., Ozkarahan, I.: A supply chain distribution network design model: an interactive fuzzy goal programming-based solution approach. Int. J. Adv. Manuf. Technol. 36(3–4), 401–418 (2008)
Shavandi, H., Mahlooji, H.: A fuzzy queuing location model with a genetic algorithm for congested systems. Appl. Math. Comput. 181(1), 440–456 (2006)
Takaĉi, A., Marić, M., Drakulić, D.: The role of fuzzy sets in improving maximal covering location problem (MCLP). In: IEEE 10th Jubilee International Symposium on Intelligent Systems and Informatics, pp. 103–106 (2012)
Toregas, C., Swain, R., Revelle, C., Bergman, L.: The location of emergency service facilities. Oper. Res. 6, 1363–1373 (1971)
Verdegay, J.L.: Fuzzy mathematical programming. In: Gupta, M.M., Sanchez, E. (eds.) Fuzzy Information and Decision Processes, pp. 231–237 (1982)
Walsh, M.R.: Toward spatial decision support systems in water resources. J. Water Resour. Plan. Manag. 119(2), 158–169 (1993)
Yang, L., Jones, B.F., Yang, S.H.: A fuzzy multi-objective programming for optimization of fire station locations through genetic algorithms. Eur. J. Oper. Res. 181(2), 903–915 (2007)
Zarandi, M.H.F., Davari, S., Hamidifar, M., Turksen, B.: Locating post offices using fuzzy goal programming and geographical information system (GIS). In: 17th Americas Conference on Information Systems 2011, AMCIS 2011, pp. 74–81 (2011)
Zimmermann, H.: Fuzzy Sets, Decision Making and Expert Systems. Kluwer Academic Publishers, Boston (1987)
Acknowledgements
V.C. Guzmán is supported by a scolarship from PROMEP, México, PROMEP/103.5/12/6059. D. Pelta and J.L. Verdegay acknowledge support through projects TIN2014-55024-P from the Spanish Ministry of Economy and Competitiveness, and P11-TIC-8001 from the Andalusian Government (both including FEDER funds).
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Guzmán, V.C., Pelta, D.A., Verdegay, J.L. (2018). FuzzyCovering: A Spatial Decision Support System for Solving Fuzzy Covering Location Problems. In: Cruz Corona, C. (eds) Soft Computing for Sustainability Science. Studies in Fuzziness and Soft Computing, vol 358. Springer, Cham. https://doi.org/10.1007/978-3-319-62359-7_3
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DOI: https://doi.org/10.1007/978-3-319-62359-7_3
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