Fuzzy Approach to Optimal Placement of Health Centers

Juan Carlos Figueroa-García; Carlos Franco; Vladik Kreinovich

doi:10.1007/978-3-030-21920-8_71

Fuzzy Approach to Optimal Placement of Health Centers

Juan Carlos Figueroa-García, Carlos Franco, Vladik Kreinovich

urosario

Research output: Chapter in Book/Report › Conference contribution

Abstract

In countries with socialized medicine, it is important to decide how to distribute limited medical resources – in particular, where to place health centers. In this paper, we formulate and solve the corresponding constraint optimization problem. Once the locations are selected, it is necessary to decide which regions are served by each center. Traditionally, this decision is crisp, in the sense that each location is assigned to a single health center. We show that the medical service can be made more efficient if we allow fuzzy assignments, when some locations can be potentially served by two (or more) neighboring health centers.

Original language	English (US)
Title of host publication	Fuzzy Techniques
Subtitle of host publication	Theory and Applications - Proceedings of the 2019 Joint World Congress of the International Fuzzy Systems Association and the Annual Conference of the North American Fuzzy Information Processing Society IFSA/NAFIPS 2019
Editors	Ralph Baker Kearfott, Ildar Batyrshin, Marek Reformat, Martine Ceberio, Vladik Kreinovich
Publisher	Springer
Pages	793-799
Number of pages	7
ISBN (Print)	9783030219192
DOIs	https://doi.org/10.1007/978-3-030-21920-8_71
State	Published - Jan 1 2019
Event	Joint World Congress of the International Fuzzy Systems Association and the Annual Conference of the North American Fuzzy Information Processing Society, IFSA/NAFIPS 2019 - Lafayette, United States Duration: Jun 18 2019 → Jun 21 2019

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1000
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	Joint World Congress of the International Fuzzy Systems Association and the Annual Conference of the North American Fuzzy Information Processing Society, IFSA/NAFIPS 2019
Country/Territory	United States
City	Lafayette
Period	6/18/19 → 6/21/19

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Computer Science(all)

Access to Document

10.1007/978-3-030-21920-8_71

Cite this

Figueroa-García, J. C., Franco, C., & Kreinovich, V. (2019). Fuzzy Approach to Optimal Placement of Health Centers. In R. B. Kearfott, I. Batyrshin, M. Reformat, M. Ceberio, & V. Kreinovich (Eds.), Fuzzy Techniques: Theory and Applications - Proceedings of the 2019 Joint World Congress of the International Fuzzy Systems Association and the Annual Conference of the North American Fuzzy Information Processing Society IFSA/NAFIPS 2019 (pp. 793-799). (Advances in Intelligent Systems and Computing; Vol. 1000). Springer. https://doi.org/10.1007/978-3-030-21920-8_71

Figueroa-García, Juan Carlos ; Franco, Carlos ; Kreinovich, Vladik. / Fuzzy Approach to Optimal Placement of Health Centers. Fuzzy Techniques: Theory and Applications - Proceedings of the 2019 Joint World Congress of the International Fuzzy Systems Association and the Annual Conference of the North American Fuzzy Information Processing Society IFSA/NAFIPS 2019. editor / Ralph Baker Kearfott ; Ildar Batyrshin ; Marek Reformat ; Martine Ceberio ; Vladik Kreinovich. Springer, 2019. pp. 793-799 (Advances in Intelligent Systems and Computing).

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abstract = "In countries with socialized medicine, it is important to decide how to distribute limited medical resources – in particular, where to place health centers. In this paper, we formulate and solve the corresponding constraint optimization problem. Once the locations are selected, it is necessary to decide which regions are served by each center. Traditionally, this decision is crisp, in the sense that each location is assigned to a single health center. We show that the medical service can be made more efficient if we allow fuzzy assignments, when some locations can be potentially served by two (or more) neighboring health centers.",

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booktitle = "Fuzzy Techniques",

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Figueroa-García, JC, Franco, C & Kreinovich, V 2019, Fuzzy Approach to Optimal Placement of Health Centers. in RB Kearfott, I Batyrshin, M Reformat, M Ceberio & V Kreinovich (eds), Fuzzy Techniques: Theory and Applications - Proceedings of the 2019 Joint World Congress of the International Fuzzy Systems Association and the Annual Conference of the North American Fuzzy Information Processing Society IFSA/NAFIPS 2019. Advances in Intelligent Systems and Computing, vol. 1000, Springer, pp. 793-799, Joint World Congress of the International Fuzzy Systems Association and the Annual Conference of the North American Fuzzy Information Processing Society, IFSA/NAFIPS 2019, Lafayette, United States, 6/18/19. https://doi.org/10.1007/978-3-030-21920-8_71

Fuzzy Approach to Optimal Placement of Health Centers. / Figueroa-García, Juan Carlos; Franco, Carlos; Kreinovich, Vladik.
Fuzzy Techniques: Theory and Applications - Proceedings of the 2019 Joint World Congress of the International Fuzzy Systems Association and the Annual Conference of the North American Fuzzy Information Processing Society IFSA/NAFIPS 2019. ed. / Ralph Baker Kearfott; Ildar Batyrshin; Marek Reformat; Martine Ceberio; Vladik Kreinovich. Springer, 2019. p. 793-799 (Advances in Intelligent Systems and Computing; Vol. 1000).

Research output: Chapter in Book/Report › Conference contribution

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Figueroa-García JC, Franco C, Kreinovich V. Fuzzy Approach to Optimal Placement of Health Centers. In Kearfott RB, Batyrshin I, Reformat M, Ceberio M, Kreinovich V, editors, Fuzzy Techniques: Theory and Applications - Proceedings of the 2019 Joint World Congress of the International Fuzzy Systems Association and the Annual Conference of the North American Fuzzy Information Processing Society IFSA/NAFIPS 2019. Springer. 2019. p. 793-799. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-21920-8_71

Fuzzy Approach to Optimal Placement of Health Centers

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All Science Journal Classification (ASJC) codes

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