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Multiattribute Decision Analysis Methods

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Multicriteria Decision Analysis in Geographic Information Science

Part of the book series: Advances in Geographic Information Science ((AGIS))

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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Authors and Affiliations

  1. University of Western Ontario Dept. Geography, 1151 Richmond Street, London, ON, N6A 5C2, Canada

    Jacek Malczewski

  2. Ryerson University Department of Geography, 350 Victoria Street, Toronto, ON, M5B 2K3, Canada

    Claus Rinner

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  1. Jacek Malczewski
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Malczewski, J., Rinner, C. (2015). Multiattribute Decision Analysis Methods. In: Multicriteria Decision Analysis in Geographic Information Science. Advances in Geographic Information Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74757-4_4

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