The integration of GIS and multicriteria decision analysis has attracted significant interest over the last 15 years or so This paper surveys the GIS‐based multicriteria decision analysis (GIS‐MCDA) approaches using a literature review and classification of articles from 1990 to 2004 An electronic search indicated that over 300 articles appeared in refereed journals The paper provides taxonomy of those articles and identifies trends and developments in GIS‐MCDA

https://www.tandfonline.com/doi/pdf/10.1080/13658810600661508

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

PROMETHEE: A comprehensive literature review on methodologies and applications

In this paper geometrical representations for multicriteria decision problems are proposed. This new approach provides assistance to understand the conflictual aspects of the criteria and to tackle the problem of the weights associated to them. A generalized criterion, including a preference function, is first generated for each criterion. This allows to define unicriterion preference flows for which a geometrical representation can be obtained by using the Principal Components Analysis. The actions are represented by points and criteria by axes in the PCA plane. A decision axis taking into account the weights associated to the criteria can be defined. This technique provides the decision-maker with a considerable enrichment for the understanding of his problem: clusters of actions can be considered, the importance of the criteria can be evaluated, conflictual criteria are immediately detected, incomparability between actions is emphasized and explained, best compromise actions are easily selected, new decision-axes representing possible clusters of criteria can be considered, undesirable actions can be eliminated, … The technique consists in a powerful new qualitative decision tool. It is illustrated in the paper on some examples treated by the Promethee I and II methods. A didactic and user-friendly microcomputer code is available.

Geometrical representations for MCDA

Adsorption of hydrocarbons on organo-clays - implications for oil spill remediation

This chapter focuses on a review of Geographic Information System-based Multicriteria Decision Analysis (GIS-MCDA). These two distinctive areas of research can benefit from each other. On the one hand, GIS techniques and procedures have an important role to play in analyzing spatial decision problems. Indeed, GIS is often recognized as a spatial decision support system. On the other hand, MCDA provides a rich collection of techniques and procedures for structuring decision problems, designing, evaluating, and prioritizing alternative decisions. At the most rudimentary level, GIS-MCDA can be thought of as a process that transforms and combines geographical (spatial) data and value judgments (the decision maker’s preferences) to obtain information for decision making. It is in the context of the synergetic capabilities of GIS and MCDA that one can see the benefit for advancing theoretical and applied research on GIS-MCDA. The chapter is structured into seven sections. The introductory section outlines the synergetic capabilities of GIS and MCDA. Subsequently, the chapter provides an introduction to the basic concepts of GIS, a historical perspective of GIS-MCDA, and a survey of the GIS-MCDA literature. The following section focuses on the MCDA functions in GIS-based analysis and Multicriteria Spatial Decision Support System (MC-SDSS). The concluding section presents the challenges and prospects for advancing GIS-MCDA.

Multiple Criteria Decision Analysis and Geographic Information Systems

We describe an integrated decision aid system designed to assist land-use planning and management of the alluvial plain of Saint Charles River, Quebec. The first stages of the development of the system consisted in building a georeferenced database managed by a geographical information system (GIS), and to elaborate eight different development scenarios along the Saint Charles River in a multiple decision-maker context. Multicriteria analysis (MCA) was then used to evaluate and compare the scenarios according to eleven criteria, using a combination of GIS analysis with Mapinfo and multicriteria processing carried out in PROMCALC & GAIA 3.5. This process leads to a partial ranking (PROMETHEE I) and a complete ranking of the scenarios (PROMETHEE II) for each individual decision-maker as well as for the whole group. We show that this approach helps multiple decision-makers to reach rational decisions based on scientific data and political considerations.

An integrated decision aid system for the development of Saint Charles River alluvial plain, Quebec, Canada

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An integrated decision aid system for the development of Saint Charles River alluvial plain, Quebec, Canada