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IMPLEMENTATION OF GIS-BASED MULTICRITERIA DECISION ANALYSIS WITH VB IN ArcGIS

Author

Listed:
  • DERYA OZTURK

    (Geomatic Engineering Department, Ondokuz Mayis University, Kurupelit 55139, Samsun, Turkey)

  • FATMAGUL BATUK

    (Geomatic Engineering Department, Yildiz Technical University, Esenler 34220, Istanbul, Turkey)

Abstract

This article focuses on the integration of multicriteria decision analysis (MCDA) and geographical information systems (GIS) and introduces a tool, GIS–MCDA, written in visual basic in ArcGIS for GIS-based MCDA. The GIS–MCDA deals with raster-based data sets and includes standardization, weighting and decision analysis methods, and sensitivity analysis. Simple additive weighting, weighted product method, technique for order preference by similarity to ideal solution, compromise programming, analytic hierarchy process, and ordered weighted average for decision analysis; ranking, rating, and pairwise comparison for weighting and linear scale transformation for standardization can be applied by using this tool. The maximum score and score range procedures can be used for linear scale transformation. In this article also an application of the GIS–MCDA to determine the flood vulnerability of the South Marmara Basin in Turkey is examined. To check the validity and reliability of the results, the flood vulnerability layer is compared with flood-affected areas.

Suggested Citation

  • Derya Ozturk & Fatmagul Batuk, 2011. "IMPLEMENTATION OF GIS-BASED MULTICRITERIA DECISION ANALYSIS WITH VB IN ArcGIS," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 10(06), pages 1023-1042.
    • Handle: RePEc:wsi:ijitdm:v:10:y:2011:i:06:n:s0219622011004695
    DOI: 10.1142/S0219622011004695
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    Citations

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    Cited by:

    1. Ainhoa Gonzalez & Álvaro Enríquez-de-Salamanca, 2018. "Spatial Multi-Criteria Analysis in Environmental Assessment: A Review and Reflection on Benefits and Limitations," Journal of Environmental Assessment Policy and Management (JEAPM), World Scientific Publishing Co. Pte. Ltd., vol. 20(03), pages 1-24, September.
    2. Fatima-Zohra Younsi & Ahmed Bounnekar & Djamila Hamdadou & Omar Boussaid, 2019. "Integration of Multiple Regression Model in an Epidemiological Decision Support System," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(06), pages 1755-1783, November.
    3. Oscar Corvacho-Ganahín & Mauricio González-Pacheco & Marcos Francos & Filipe Carvalho, 2023. "Evaluation of potential flood hazard through spatial zoning in Acha–Arica, northern Chile, integrating GIS, multi-criteria analysis and two-dimensional numerical simulation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 118(1), pages 755-783, August.
    4. Anna Maria Kowalczyk & Szymon Czyża, 2022. "Optimising Photovoltaic Farm Location Using a Capabilities Matrix and GIS," Energies, MDPI, vol. 15(18), pages 1-32, September.
    5. Nurnabi Meherul Alam & Chayna Jana & Debashis Mandal & Sunita Kumari Meena & Shashi Shekhar Shrimali & Uday Mandal & Sabyasachi Mitra & Gouranga Kar, 2022. "Applying Analytic Hierarchy Process for Identifying Best Management Practices in Erosion Risk Areas of Northwestern Himalayas," Land, MDPI, vol. 11(6), pages 1-18, June.
    6. Ata Ghaffari Gilandeh & Behrooz Sobhani & Elnaz Ostadi, 2020. "Combining Arc-GIS and OWA model in flooding potential analysis (case study: Meshkinshahr city)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 102(3), pages 1435-1449, July.

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