期刊
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
卷 272, 期 2, 页码 574-586出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.ejor.2018.07.005
关键词
Multiple criteria decision analysis; UTASTAR method; Robustness analysis; Geographical information systems; Land-Use suitability analysis
资金
- IKY FELLOWSHIPS OF EXCELLENCE FOR POSTGRADUATE STUDIES IN GREECE - SIEMENS PROGRAM
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. (C) 2018 Elsevier B.V. All rights reserved.
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