TY - GEN
T1 - Fuzzy Approach to Optimal Placement of Health Centers
AU - Figueroa-García, Juan Carlos
AU - Franco, Carlos
AU - Kreinovich, Vladik
PY - 2019/1/1
Y1 - 2019/1/1
N2 - 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.
AB - 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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U2 - 10.1007/978-3-030-21920-8_71
DO - 10.1007/978-3-030-21920-8_71
M3 - Conference contribution
AN - SCOPUS:85068960589
SN - 9783030219192
T3 - Advances in Intelligent Systems and Computing
SP - 793
EP - 799
BT - Fuzzy Techniques
A2 - Kearfott, Ralph Baker
A2 - Batyrshin, Ildar
A2 - Reformat, Marek
A2 - Ceberio, Martine
A2 - Kreinovich, Vladik
PB - Springer
T2 - Joint World Congress of the International Fuzzy Systems Association and the Annual Conference of the North American Fuzzy Information Processing Society, IFSA/NAFIPS 2019
Y2 - 18 June 2019 through 21 June 2019
ER -