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GIS-based suitability analysis using fuzzy PROMETHEE

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  • A. P. Vavatsikos
  • O. E. Demesouka
  • K. P. Anagnostopoulos

Abstract

In efficiently supporting planning decisions, decision makers often handle complex and multifaceted decisions. The combined use of geographic information systems (GIS)-based tools and multi-criteria decision analysis (MCDA) methods has emerged as a sophisticated process that provides significant advantages in overcoming decision-making difficulties. Multicriteria raster-based suitability analyses are dominated by the performance of weighted linear combination approaches. This is principally due to technical limitations that arise since pairwise comparisons among candidate alternatives are needed to perform outranking relations. To overcome these limitations, a combination of GIS and a Fuzzy extension of the PROMETHEE method is proposed to reduce the complexity of the calculations. The efficiency of the proposed decision-making model is discussed through a case study, by comparing the derived alternative location rankings with those obtained by other well-established approaches. The framework provides a flexible way to overcome PROMETHEE computational limitations while the performed results validation analysis reveals that the framework produces coherent results.

Suggested Citation

  • A. P. Vavatsikos & O. E. Demesouka & K. P. Anagnostopoulos, 2020. "GIS-based suitability analysis using fuzzy PROMETHEE," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 63(4), pages 604-628, March.
    • Handle: RePEc:taf:jenpmg:v:63:y:2020:i:4:p:604-628
    DOI: 10.1080/09640568.2019.1599830
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    Cited by:

    1. Sotiropoulou, Kalliopi F. & Vavatsikos, Athanasios P., 2021. "Onshore wind farms GIS-Assisted suitability analysis using PROMETHEE II," Energy Policy, Elsevier, vol. 158(C).
    2. Lorena Peñacoba-Antona & Montserrat Gómez-Delgado & Abraham Esteve-Núñez, 2021. "Multi-Criteria Evaluation and Sensitivity Analysis for the Optimal Location of Constructed Wetlands (METland) at Oceanic and Mediterranean Areas," IJERPH, MDPI, vol. 18(10), pages 1-22, May.
    3. Hendrik & Yin Yuan & Akhmad Fauzi & Widiatmaka & Dyah Tjahyandari Suryaningtyas & Florentinus Firdiyono & Yang Yao, 2022. "Determination of the Red Mud Industrial Cluster Sites in Indonesia Based on Sustainability Aspect and Waste Management Analysis through PROMETHEE," Energies, MDPI, vol. 15(15), pages 1-13, July.
    4. Coruhlu, Yakup Emre & Solgun, Necmettin & Baser, Volkan & Terzi, Fatih, 2022. "Revealing the solar energy potential by integration of GIS and AHP in order to compare decisions of the land use on the environmental plans," Land Use Policy, Elsevier, vol. 113(C).

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