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
15
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
- 02 Oct 2019
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.
73
Using gis-based multi-criteria decision analysis techniques in the smart cities
S. Sisman,Arif Cagdas Aydinoglu +1 more
TL;DR: This study provides an effective implementation methodology for the hybrid use of GIS-based MCDA techniques within the scope of sustainable urban land management practices in smart cities.
A New Hybrid Decision Making Approach for Housing Suitability Mapping of an Urban Area
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Modelling the forest transition in Central Western Ghats, India
TL;DR: In this paper, the authors analyzed the likely land use transitions by 2022 across zones based on transitions during 2004-2007, 2007-2010, 2010-2013 was done through cellular automata and Markov chain process (MC) and highlighted the loss of forest cover by 66.55-56.76% by 2022 in the coastal zone with escalating population density.
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An optimized intrusion response system for MANET:: An attack-severity aware approach
TL;DR: This paper demonstrates through simulations the effectiveness of the proposed intrusion response system in appropriately responding to both single and multiple intrusions, and solves some critical issues related to network partitioning and remerging efficiently.
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