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
Irina Vinogradova
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TL;DR: This paper proposes a new approach for evaluating that involves merging the results of all applied MADM methods into a single value, taking into account the suitability of the methods for the task to be solved.
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Using gis-based multi-criteria decision analysis techniques in the smart cities
S. Sisman,Arif Cagdas Aydinoglu +1 more
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