Evaluation and Decision Models with Multiple Criteria: Stepping Stones for the Analyst

By D. Bouyssou, T. Marchant, M. Pirlot, A. Tsoukiás, P. Vincke. 2006

368 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/b53099784a791ff9d560c4d7bcfb696bf3d03e79

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Citations in the corpus

Ratings and rankings: voodoo or science? (2011, background): “In linear aggregation, the ratio of two nominal weights gives the rate of substitutability between the two individual variables, see (Boyssou et al., 2006, Chapter 4), or Decancq and Lugo (2010), and hence can be used to reveal the target relative importance of individual indicators.”
State of art surveys of overviews on MCDM/MADM methods (2014, background): “When dealing with objects that can only be described and compared using several characteristics, aggregation is a major issue: it aims at operating a synthesis of the, usually contradictory, features of the objects, in view of achieving a goal such as choosing among the objects, rank ordering them, ”
How to support the application of multiple criteria decision analysis? Let us start with a comprehensive taxonomy (2020, methodology): “This aspect is, however, a significant challenge, given that many DMs (and sometimes analysts too) do not find themselves much at ease with axiomatic mathematical formulations [17] nor competent enough to answer formal questions related to the axiomatic verification.”
GIS-Based Multiple-Criteria Decision Analysis (2011, methodology): “There are many ways to organise and describe decision phases (Anderson et al. 2003; Bouyssou et al. 2006; Turban and Aronson 2001), with a critical distinction for MCDA between the problem exploration ⁄ structuring phase and the evaluation ⁄ recommendation phase.”
Advances in Geocomputation: Geocomputation 2015--The 13th International Conference (2015, unknown): “This type of decision analysis aims at modeling the rationality of particular decision maker taking into accounts his/her ‘ subjective ’ view of the decision situations (Dias and Tsouki à s 2004; Bouyssou et al. 2006).”
A qualitative multi-attribute model for economic and ecological assessment of genetically modified crops (2008, methodology): “Many methodologies exist for MADM (Saaty, 1980; Keeney and Raiffa, 1993; Triantaphyllou, 2000; Figueira et al., 2005; Bouyssou et al., 2006).”