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Comparison of Fuzzy AHP Algorithms for Land Suitability Assessment

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43310%2F18%3A43915176" target="_blank" >RIV/62156489:43310/18:43915176 - isvavai.cz</a>

  • Result on the web

    <a href="https://dx.doi.org/10.1007/978-3-319-61297-3_3" target="_blank" >https://dx.doi.org/10.1007/978-3-319-61297-3_3</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-61297-3_3" target="_blank" >10.1007/978-3-319-61297-3_3</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Comparison of Fuzzy AHP Algorithms for Land Suitability Assessment

  • Original language description

    Weighted Linear Combination (WLC) is one of the most popular methods for Multiple Criteria Decision-making (MCDM) in the field of geoinformatics. A typical utilization of WLC is in land suitability assessment and optimal location detection. The application of WLC requires the determination of weights for each criterion used in the MCDM problem. In this paper, we focus on a fuzzy Analytical Hierarchy Process (AHP) which is based on pairwise comparisons of criterion importance and, unlike the classic (crisp) AHP, it can contain uncertainty. This allows the user to include imprecise or incomplete knowledge in an MCDM problem. The theoretical part of the paper briefly describes fuzzy AHP and provides the necessary mathematical background. The practical part of the contribution is focused on testing two algorithms for weight determination in fuzzy AHP-the extent analysis method and a method based on constrained fuzzy arithmetic. The methods are described in terms of the amount of uncertainty in the result, the resulting value, and overall appropriateness. A four level fuzzy AHP problem containing one main goal, three criteria and twenty-four subcriteria is solved as a case study using both methods. Based on the results obtained, the recommendations for fuzzy AHP utilization in spatial suitability assessment are made.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50701 - Cultural and economic geography

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Dynamics in GIscience

  • ISBN

    978-3-319-61296-6

  • ISSN

    1863-2246

  • e-ISSN

    1863-2351

  • Number of pages

    16

  • Pages from-to

    31-46

  • Publisher name

    Springer International Publishing AG

  • Place of publication

    Cham

  • Event location

    Ostrava

  • Event date

    Mar 22, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000457178200003