Book Chapter10.1007/978-3-540-74757-4_4
Multiattribute Decision Analysis Methods
Jacek Malczewski,Claus Rinner +1 more
- 01 Jan 2015
- pp 81-121
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TL;DR: This chapter introduces the conventional MADA methods and discusses their extensions to the spatially explicit models and a brief overview of the GIS-based applications for each of the four methods.
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Abstract: Although a wide range of multiattribute decision analysis (MADA) methods are available, the theoretical and applied research about GIS-MADA has focused on relatively small number of multiattribute procedures including: the weighted linear combination, ideal point methods, the analytic hierarchy process/analytic network process, and outranking methods. These four methods will be discussed in this chapter. We will introduce the conventional MADA methods and discuss their extensions to the spatially explicit models. This chapter also provides a brief overview of the GIS-based applications for each of the four methods.
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Citations
Multi-Attribute Decision-Making Methods as a Part of Mathematical Optimization
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References
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TL;DR: A framework for integrating geographical information systems (GIS) and MCDM methods is presented and choice heuristics used by the decision-makers in the presence of competing alternatives and multiple evaluation criteria are proposed.
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Application of fuzzy measures in multi-criteria evaluation in GIS
Hong Jiang,J. Ronald Eastman +1 more
TL;DR: It is argued that the standardized factors of MCE belong to a general class of fuzzy measures and the more specific instance of fuzzy set membership, which provides a strong theoretical basis for the standardization of factors and their subsequent aggregation.
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Multi-Objective Decision Analysis with Engineering and Business Applications
TL;DR: This paper presents a meta-modelling architecture suitable for multiobjective analysis of the decision-Making process and some of the strategies used in this process have been developed.
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