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Conference paper Open Access

Integration of GIS, Shannon Entropy and Multi-Criteria Decision Making for Hospital Site Selection

Zandi, Iman; Delevar, Mahmoud R.


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  <identifier identifierType="DOI">10.5281/zenodo.4665737</identifier>
  <creators>
    <creator>
      <creatorName>Zandi, Iman</creatorName>
      <givenName>Iman</givenName>
      <familyName>Zandi</familyName>
      <affiliation>Department of GIS, School of Surveying and Geospatial Eng., College of Engineering, University of Tehran, Tehran, Iran</affiliation>
    </creator>
    <creator>
      <creatorName>Delevar, Mahmoud R.</creatorName>
      <givenName>Mahmoud R.</givenName>
      <familyName>Delevar</familyName>
      <affiliation>Center of Excellence in Geomatic Eng. in Disaster Management, School of Surveying and Geospatial Eng., College of Engineering, University of Tehran, Tehran, Iran</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Integration of GIS, Shannon Entropy and Multi-Criteria Decision Making for Hospital Site Selection</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <dates>
    <date dateType="Issued">2021-04-06</date>
  </dates>
  <resourceType resourceTypeGeneral="ConferencePaper"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4665737</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4665736</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;In this study, a hybrid methodology consisting of geospatial information systems (GIS), Shannon Entropy (SE) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is proposed for a hospital site selection problem in Tehran, Iran. SE was used for determining the objective weights of the employed criteria which can model the existing uncertainty in the decision criteria. TOPSIS is a multi-criteria decision making (MCDM) method. According to the results obtained from implementing the SE, the distance from existing hospitals criterion had the highest weight in the optimum hospital site selection. The findings of the research have proved the suitability of using the integration of SE and TOPSIS for the optimum hospital site selection.&lt;/p&gt;</description>
  </descriptions>
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