Optimal locating by integrating volumetric fuzzy sets and geographic coordinate system: An application to healthcare
•Volumetric fuzzy set (VFS) is a new fuzzy set proposed for two-dimensional variables.•We apply the VFS for finding the coordinates of the best location for a new facility.•We present a new volumetric fuzzy goal following to be far from an anti-ideal point.•We design a weighted volumetric fuzzy mult...
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Published in | Computers & operations research Vol. 161; p. 106377 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.01.2024
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Subjects | |
Online Access | Get full text |
ISSN | 0305-0548 |
DOI | 10.1016/j.cor.2023.106377 |
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Summary: | •Volumetric fuzzy set (VFS) is a new fuzzy set proposed for two-dimensional variables.•We apply the VFS for finding the coordinates of the best location for a new facility.•We present a new volumetric fuzzy goal following to be far from an anti-ideal point.•We design a weighted volumetric fuzzy multi-objective decision-making (VFMODM).•We use the VFMODM to find the coordinates of the best location for a new hospital.
The volumetric fuzzy set (VFS) deals with the uncertainties associated with two-dimensional variables. This study shows the application of VFS in finding the optimal coordinates for a new hospital by considering several fuzzy goals. For this purpose, we first define two types of volumetric fuzzy goals: type one following the proximity to an ideal point and type two following far from an anti-ideal point. Then, we extract the membership functions (MFs) for type-one and type-two volumetric fuzzy goals. These MFs determine the membership degrees of each point for volumetric fuzzy goals based on its distances from the ideal or anti-ideal points. We consider the Manhattan distance to extract these MFs because it better measures the real distance between two points in urban areas. Next, we design a new weighted volumetric fuzzy multi-objective decision-making (VFMODM) model considering type-one and type-two fuzzy goals. This model answers this question: what are the optimal coordinates for a new hospital to maximize overall satisfaction? Compared to existing fuzzy optimization models, the VFMODM model considers uncertainty for two-dimensional variables. |
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ISSN: | 0305-0548 |
DOI: | 10.1016/j.cor.2023.106377 |