Implementing an extension of the analytical hierarchy process using ordered weighted averaging operators with fuzzy quantifiers in ArcGIS

By Soheil Boroushaki, Jacek Malczewski. Computational Geosciences, 2008

431 citations recorded by the source corpus.

Subfields: Geography, Planning and Development, Management, Monitoring, Policy and Law, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/84532b81a414a7fb14823e4520ce27e833c19677

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In Geography, Planning and Development

In Management, Monitoring, Policy and Law

In Management Science and Operations Research

Citations in the corpus

A GIS based spatially-explicit sensitivity and uncertainty analysis approach for multi-criteria decision analysis (2014, neutral): “This research and other studies demonstrate that MCDA methods can provide an effective tool for spatial decision making systems when the resulting accuracies are improved (Boroushaki and Malczewski, 2008; Azizur Rahman et al., 2012; Feizizadeh and Blaschke, 2013a, 2013b, 2013c).”
GIS-Based Multiple-Criteria Decision Analysis (2011, methodology): “There are numerous free and commercial ArcGIS add-ons implementing other GIS-based MADM techniques (Boroushaki and Malczewski 2008; Marinoni 2004; http://arcscripts.esri.com).”
Quantifying cumulative impacts of human pressures on the marine environment: a geospatial modelling framework (2010, methodology): “AHP uses weighted overlays and is of particular importance for spatial decision problems with a large number of alternatives (Saaty 1980, Boroushaki & Malczewski 2008).”
GIS-multicriteria decision analysis for landslide susceptibility mapping: comparing three methods for the Urmia lake basin, Iran (2012, background): “…101–150 1/5 1/3 1 0.126 important to be careful to accept the resulting weights without changing the inputs to the pairwise comparison matrix and also to ensure that the matrix really reflects the user’s beliefs and does not contain errors (Bodin and Gass 2003; Feizizadeh and Blaschke 2012a, b).”
Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression (2014, background): “The ranking is carried out with respect to an overall goal, which is broken down into a set of criteria (objectives or attributes) (Boroushaki and Malczewski 2008).”