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Suitable Site Selection Using Two-Stage GIS-Based Fuzzy Multi-criteria Decision Analysis

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Advances in Intelligent Systems and Computing IV (CSIT 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1080))

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Abstract

The paper proposes a methodology for two-stage fuzzy multi-criteria decision analysis in a raster-based geographical information system (GIS) to determine the suitable locations for territorial objects. Recommendations about the stages of choosing alternatives for spatial and non-spatial constraints are given. It is shown that the fuzzyfication of criteria, that is, the conversion of their attribute values into a fuzzy set, based on expert evaluation of a fuzzy membership function, allows screening alternatives by determining thresholds of alpha-cut of fuzzy sets for each criterion, followed by combining criteria attributes using any aggregation operators: minimum, maximum, weighted sum, OWA operator Jager. Adding to the procedure of multicriteria analysis of the additional stage of filtration of alternatives gives the opportunity to reduce the number of alternatives, and in the future and the processing time of the criteria layers by aggregator operators. The proposed algorithm for screening alternatives can be performed in a GIS environment using Fuzzy Membership, Overlay and raster calculators tools.

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Authors and Affiliations

  1. Odessa State Environmental University, Odessa, Ukraine

    Svitlana Kuznichenko, Iryna Buchynska & Ludmila Kovalenko

  2. Odessa I.I.Mechnikov National University, Odessa, Ukraine

    Yurii Gunchenko

Authors
  1. Svitlana Kuznichenko
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  2. Iryna Buchynska
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  3. Ludmila Kovalenko
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  4. Yurii Gunchenko
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Corresponding author

Correspondence to Svitlana Kuznichenko .

Editor information

Editors and Affiliations

  1. Department of Artificial Intelligence, Lviv Polytechnic National University, Lviv, Ukraine

    Natalya Shakhovska

  2. Institute of Computer Science and Information Technologies, Lviv Polytechnic National University, Lviv, Ukraine

    Mykola O. Medykovskyy

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Kuznichenko, S., Buchynska, I., Kovalenko, L., Gunchenko, Y. (2020). Suitable Site Selection Using Two-Stage GIS-Based Fuzzy Multi-criteria Decision Analysis. In: Shakhovska, N., Medykovskyy, M.O. (eds) Advances in Intelligent Systems and Computing IV. CSIT 2019. Advances in Intelligent Systems and Computing, vol 1080. Springer, Cham. https://doi.org/10.1007/978-3-030-33695-0_16

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