GIS‐based multicriteria decision analysis: a survey of the literature

By Jacek Malczewski. International Journal of Geographical Information Science, 2006

2,221 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/a62b4d158a5ee722646f0e711944a1865155940c

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Citations in the corpus

GIS-multicriteria decision analysis for landslide susceptibility mapping: comparing three methods for the Urmia lake basin, Iran (2012, methodology): “…the degree to which a low standardized value on one layer can be compensated for by a high standardized value on other considered criteria risk refers to how much each criterion affects the final solution (Jiang and Eastman 2000; Malczewski 2006a; Robinson et al. 2010; Feizizadeh et al. 2012a).”
GIS-Based Multiple-Criteria Decision Analysis (2011, methodology): “…Also based on fuzzy methods, OWA extends WLC using criteria-order weights to control the levels of criteria trade-off, allowing decision makers to place themselves along a continuous spectrum of risk tolerance (Jiang and Eastman 2000; Malczewski 2006b; Rinner and Malczewski 2002; Yager 1988).”
A GIS based spatially-explicit sensitivity and uncertainty analysis approach for multi-criteria decision analysis (2014, methodology): “The GISMCDA methods provide a framework for handling different views and compositions of the elements of a complex decision problem, and for organizing them into a hierarchical structure, as well as studying the relationships among the components of the problem (Malczewski, 2006).”
A GIS-based extended fuzzy multi-criteria evaluation for landslide susceptibility mapping (2014, unknown): “…methods provide a framework within which to handle different aspects of the various elements of a complex decision-making problem, to organize the various elements into a hierarchical structure, and to study the relationships between these different components of the problem (Malczewski, 2006).”
Quantifying cumulative impacts of human pressures on the marine environment: a geospatial modelling framework (2010, methodology): “The integration of MCA in Geographical Information System (GIS), i.e. a spatially explicit MCA, is a major contribution to the development of tools for integrated management (Jiang & Eastman 2000, Malczewski 2006).”
Multi-attribute Decision Analysis in GIS: Weighted Linear Combination and Ordered Weighted Averaging (2009, methodology): “Recently, Malczewski [23] established a very good body of literature on GIS-based multi-criteria decision analysis.”
ELECTRE: A comprehensive literature review on methodologies and applications (2016, methodology): “…– Survey Lootsma (1990) The French and the American school of MCDA – Overview Løken (2007) MCDA methods for energy planning purposes Energy Survey Malczewski (2006) Integrations of GIS and MCDA Various Review Mendoza and Martins (2006) MCDA applications in natural resource management Environment…”
Implementing an extension of the analytical hierarchy process using ordered weighted averaging operators with fuzzy quantifiers in ArcGIS (2008, methodology): “…applications of OWA have been implemented in the GIS environment (Jiang and Eastman, 2000; Araújo and Macedo, 2002; Rinner and Malczewski, 2002; Makropoulos et al., 2003; Malczewski et al., 2003; Rashed and Weeks, 2003; Calijuri et al., 2004; Makropoulos and Butler, 2005; Malczewski, 2006b).”