GIS and Multicriteria Decision Analysis

By T. Coburn. 2000

1,227 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Geography, Planning and Development, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/e49e716be0d7567c46e0ec03633a62a2d6b8f51e

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In Artificial Intelligence

In Geography, Planning and Development

In Management Science and Operations Research

Citations in the corpus

Predicting gully initiation: comparing data mining techniques, analytical hierarchy processes and the topographic threshold (2012, methodology): “Among expert-based methods, the most intuitive are the analytical hierarchy process (AHP) mechanisms (Saaty, 1977; Malczewski, 1999).”
Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression (2014, methodology): “GIS-based multi-criteria decision analysis GIS-based MCDA is a process that transforms and combines geographical data and value judgments to obtain information for decision making (Malczewski 1999).”
Multi-attribute Decision Analysis in GIS: Weighted Linear Combination and Ordered Weighted Averaging (2009, methodology): “While the intelligence and design activities can mostly be covered by multi-purpose spatial analysis methods, the choice phase requires specific methods still absent from most GIS [2, 21, 24, 25, 32].”
Fuzzy Screening for Land Suitability Analysis (2002, methodology): “There are several conceptual and technical problems with using the conventional screening methods within a GIS environment (Julien & Byer, 1990; Malczewski, 1999; Munda, 1995).”
Multiple Criteria Decision Making, Multiattribute Utility Theory: Recent Accomplishments and What Lies Ahead (2008, background): “For further information, see the GIDA Journal or the book by Malczewski (1999). Engineering Application MCDM/MAUT is used in many fields of engineering.”
Methods for identifying land use conflict potential using participatory mapping (2014, methodology): “Over the past two decades, spatial decision support systems (SDSS) that link multi-criteria analysis methods with geographic information systems have been used to facilitate understanding of conflict (Armstrong, 1993; Carver, 1991; Godschalk, McMahon, Kaplan, & Qin, 1992; Jankowski, Nyerges, Smith, ”
GIS-Based Multiple-Criteria Decision Analysis (2011, methodology): “…the site for a new fire station), the decision maker(s) can focus on relevant criteria or factors with measurable attributes, and thus corresponding techniques are often called multiple-criteria evaluation (MCE) or multiple-attribute decision making (MADM) (Jankowski 1995; Malczewski 1999a).”
Implementing an extension of the analytical hierarchy process using ordered weighted averaging operators with fuzzy quantifiers in ArcGIS (2008, background): “61 3750. data (map criteria) and value judgments (decision maker’s preferences and uncertainties) to obtain overall assessment of the decision alternatives (Malczewski, 1999, 2006a).”
Preparation of a geotechnical microzonation model using Geographical Information Systems based on Multicriteria Decision Analysis (2006, methodology): “Standardization of rank and weight values The simplest formula for standardizing the raw data is to divide each raw score by the maximum value for a given criterion (Malczewski, 1999).”
Do Institutions Play a Role in Skilled Migration? The Case of Italy (2014, methodology): “The AHP technique is widely used in a multi-criteria decision environment (MALCZEWSKI, 1999).”
GIS-multicriteria decision analysis for landslide susceptibility mapping: comparing three methods for the Urmia lake basin, Iran (2012, methodology): “Based on the AHP approach, the weights are determined by normalizing the eigenvector which corresponds to the largest eigenvalue of the ratio matrix (Malczewski 1999; Gorsevski et al. 2006).”
Stability and Change in Ethnic Identity among Latino Emerging Adults in Two Contexts (2007, methodology): “To equate the measures for comparison, the scales were converted to a standardized score that could range from 0 to 1 (Malczewski, 1999)4.”
Comparison between Multi-Criteria Decision-Making Methods and Evaluating the Quality of Life at Different Spatial Levels (2021, background): “The concordance measure, based on the concordance sets, is the subset of all criteria for which alternative i is not worse than the competing alternative i′, while the discordance measure, which is based on the discordance sets, is the subset of all criteria for which the alternative i is worse than”
Application of analytical hierarchy process, frequency ratio, and certainty factor models for groundwater potential mapping using GIS (2015, background): “According to Saaty (1980) and Malczewski (1999), the consistency ratio (CR) must be determined less than 0.1.”