Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10225906 | European Journal of Operational Research | 2019 | 41 Pages |
Abstract
Multicriteria spatial decision support systems (MC-SDSS) have emerged as an integration of geographical information systems (GIS) and multiple criteria decision aid (MCDA) methods for incorporating conflicting objectives and decision makers' preferences into spatial decision models. In this paper, we present spatial UTASTAR (S-UTASTAR), a raster-based MC-SDSS for land-use suitability analysis. The multicriteria component of the system is based on the UTA-type disaggregation-aggregation approach. S-UTASTAR is applied in a raster-based case study concerning land-use suitability analysis to identify appropriate municipal solid waste landfill (MSW) sites in Northeast Greece. Moreover, robustness analysis tools are implemented to guarantee robust decision support results. More specifically, during the aggregation phase, the Stochastic Multiobjective Acceptability Analysis (SMAA) is used to indicate the frequency at which a site achieves the best ranking positions within a large set of alternative landfill sites.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Olympia E. Demesouka, Konstantinos P. Anagnostopoulos, Siskos Eleftherios,