Multiple Criteria Decision Analysis

By Valerie Belton, T. Stewart. 2001

4,283 citations recorded by the source corpus.

Subfields: Management Science and Operations Research

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In Management Science and Operations Research

Citations in the corpus

Tools and methods in participatory modeling: Selecting the right tool for the job (2018, background): “AHP is a special case of a more general approach known as multiple criteria decision analysis (MCDA) (Greco et al., 2016).”
Multiple criteria decision making (MCDM) methods in economics: an overview (2011, background): “For instance, Belton and Stewart (2002) offered the following classification of MCDM methods: 1) value measurement models; 2) goal, aspiration, and reference level models; 3) outranking models (the French school).”
Analysis of the potentials of multi criteria decision analysis methods to conduct sustainability assessment (2014, methodology): “In order to identify the outranking relations, concordance and discordance indexes are employed that refer to the cases where the criteria of alternative a are the same or better than those of b (aSb) and to the cases where criteria of a are not as good as those of b (bSa), respectively (Belton and ”
From comparative risk assessment to multi-criteria decision analysis and adaptive management: recent developments and applications. (2006, methodology): “A detailed analysis of the theoretical foundations of these methods and their comparative strengths and weaknesses is presented in Belton and Stewart (2002). Some techniques rank options, some identify a single optimal alternative, some provide an incomplete ranking, and others differentiate between”
Effective implementation of the epsilon-constraint method in Multi-Objective Mathematical Programming problems (2009, background): “The interested reader can find more information in [16] and [17] among others, that extensively cover the current trends in the field.”
GIS-Based Multiple-Criteria Decision Analysis (2011, background): “However, existing decisions can be worked backward to elucidate the value judgements that would be needed to support them, in a process called preference disaggregation (Jacquet-Lagrèze and Siskos 2001; Siskos 2005).”
Multi-criteria decision analysis and environmental risk assessment for nanomaterials (2007, methodology): “A detailed analysis of the theoretical foundations of different MCDA methods and their comparative strengths and weaknesses is presented in Belton and Stewart (2002) and Figueira et al. (2005).”
A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments (2017, methodology): “Seminal studies were prepared by Belton and Stewart [94] and”