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%2F61989592%3A15310%2F18%3A73587377" target="_blank" >RIV/61989592:15310/18:73587377 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-61297-3_3" target="_blank" >http://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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50702 - Urban studies (planning and development)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
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. GIS OSTRAVA 2017. Lecture Notes in Geoinformation and Cartography.
ISBN
978-3-319-61297-3
ISSN
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e-ISSN
1863-2246
Number of pages
16
Pages from-to
31-46
Publisher name
Springer
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
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