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.
read more
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.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
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
TL;DR: An evolutionary-based map through the combination of hybrid Multicriteria Decision Making and Geographical Information System by assessing suitability of housing location in Turkey shows that technology used in the application performed in Turkey is an important and powerful technology in providing decision support for spatial planning.
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.
15
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.
9
References
A stochastic spatial decision support system based on PROMETHEE
TL;DR: It will be shown how the combination of a sophisticated decision support methodology with powerful spatial analysis and visualisation capabilities can be applied to evaluating decision alternatives that are made up of regular or irregular shaped zones of raster cells.
94
Land management with GIS and multicriteria analysis
Florent Joerin,André Musy +1 more
TL;DR: The MAGISTER (Multicriteria Analysis with GIS for TERritory) model proposes a decision support method to integrate multiple actors of land management based on geographical information systems and multicriteria analysis.
93
Multi-criteria, personalized route planning using quantifier-guided ordered weighted averaging operators
Saeed Nadi,M. R. Delavar +1 more
TL;DR: A generic model for using different decision strategies in multi-criteria, personalized route planning, which results in multiple alternative routes that provide users with the flexibility to select one of them en-route based on the real world situation is presented.
87
•Book
Modern Decision Making: A Guide to Modeling With Decision Support Systems
Simon French
- 01 Mar 1984
TL;DR: Bodily's style is to use thoughtful examples, not mathematical argument, and the content of the theory admirably, which adds up to one of the best introductions to the 'flavour' and application of Bayesian ideas that I have encountered; and I have no hesitation in recommending it.