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Table 1. The list of refereed journals that have published four or more articles on GIS-MCDA in 1990-2004.

Table 1 The list of refereed journals that have published four or more articles on GIS-MCDA in 1990-2004.

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Fable 2. Classification of the GIS-MCDA articles according to the GIS data model and evaluation criterion. research that involved explicitly and implicitly spatial criteria, respectively. Examples of the former category include: Eastman et al. (1995), Brookes (1997), Cromley and Hanink (1999, 2003), Seppelt and Voinov (2002), and Church et al. (2003). The articles by Nevo and Garcia (1996), Brakewood and Grasso (2000), Fuller et al. (2003), Perez et al. (2003) and Store and Jokimaki (2003) provide examples of the raster-based implicitly spatial criteria. Similar classification for the vector-based GIS-MCDA showed that there were 20 (13.3%) articles reporting the use of explicitly spatial criteria (e.g. MacDonald 1996, Weigel and Cao 1999) and 12 (8.0%) studies involved implicitly spatial criteria (e.g. Vertinsky et al. 1994, Kachele and Dabbert 2002).
Fable 2. Classification of the GIS-MCDA articles according to the GIS data model and evaluation criterion. research that involved explicitly and implicitly spatial criteria, respectively. Examples of the former category include: Eastman et al. (1995), Brookes (1997), Cromley and Hanink (1999, 2003), Seppelt and Voinov (2002), and Church et al. (2003). The articles by Nevo and Garcia (1996), Brakewood and Grasso (2000), Fuller et al. (2003), Perez et al. (2003) and Store and Jokimaki (2003) provide examples of the raster-based implicitly spatial criteria. Similar classification for the vector-based GIS-MCDA showed that there were 20 (13.3%) articles reporting the use of explicitly spatial criteria (e.g. MacDonald 1996, Weigel and Cao 1999) and 12 (8.0%) studies involved implicitly spatial criteria (e.g. Vertinsky et al. 1994, Kachele and Dabbert 2002).
4.2.1 Multiattribute and multiobjective decision analysis (MADA and MODA). Criterion is a generic term including both the concept of attribute and objective. Thus, MCDA is used as the blanket term which includes both multiobjective and multiattribute decision-making. The multiattribute decision problems are assumed to have a predetermined, limited number of alternatives. Solving this type of problem is a selection process as opposed to a design process. The multiobjective problem is continuous in the sense that the best solution may be
4.2.1 Multiattribute and multiobjective decision analysis (MADA and MODA). Criterion is a generic term including both the concept of attribute and objective. Thus, MCDA is used as the blanket term which includes both multiobjective and multiattribute decision-making. The multiattribute decision problems are assumed to have a predetermined, limited number of alternatives. Solving this type of problem is a selection process as opposed to a design process. The multiobjective problem is continuous in the sense that the best solution may be
Table 4. Classification of the GIS-MCDA articles according to the combination rule. Note: “some articles presented more than one combination rule.
Table 4. Classification of the GIS-MCDA articles according to the combination rule. Note: “some articles presented more than one combination rule.
Note: percentages of the total are given in brackets. Table 5. Classification of GIS-MCDA papers according to the type of multicriteria decision method for individual decision maker.
Note: percentages of the total are given in brackets. Table 5. Classification of GIS-MCDA papers according to the type of multicriteria decision method for individual decision maker.
Table 7. Classification of the GIS-MCDA articles according to the extent of integration and the direction of integration of GIS and MCDA. Note: the numbers in parentheses are the percentages of the total number of articles.
Table 7. Classification of the GIS-MCDA articles according to the extent of integration and the direction of integration of GIS and MCDA. Note: the numbers in parentheses are the percentages of the total number of articles.
Table 8. Classification of the GIS-MCDA articles according to the extent of integration and the application domain and decision problem.
Table 8. Classification of the GIS-MCDA articles according to the extent of integration and the application domain and decision problem.
Related topics:
Information SystemsMulticriteria Decision AnalysisGeographical Information ScienceGeomatic Engineering
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