Rough sets theory for multicriteria decision analysis

By Salvatore Greco, Benedetto Matarazzo, R. Słowiński. European Journal of Operational Research, 2001

1,646 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/1c7ae38b27dbfaf7e82fe537f934f412484e23fc

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In Computational Theory and Mathematics

In Management Science and Operations Research

Citations in the corpus

Analysis of the potentials of multi criteria decision analysis methods to conduct sustainability assessment (2014, methodology): “…from DMs and it extracts this type of information indirectly from the reducts (i.e. sets of criteria which maintain the quality of the approximations as the whole set of criteria) that derive from the classification, choice or ranking assessment (Greco et al., 2001b; Slowinski et al., 2012).”
Methodi Ordinatio: a proposed methodology to select and rank relevant scientific papers encompassing the impact factor, number of citation, and year of publication (2015, background): “The categories are ordered from the best to the worst and the approximations are constructed using a dominance relation instead of an indiscernibility relation (Greco et al. 2001b).”
ENDER: a statistical framework for boosting decision rules (2010, background): “Let us also notice that decision rule models are strongly associated with rough set approaches to knowledge discovery (Pawlak 1991; Słowi´nski 1992; Grzymala-Busse 1992; Stefanowski 1998; Greco et al. 2000, 2001), where also Boolean reasoning has been applied (Skowron 1995).”
Modeling uncertainty in multi-criteria decision analysis (2012, background): “Rough set theory is a rule-based approach primarily used to treat internal uncertainty arising from information granulation or ‘vagueness’ rather than external uncertainty, and for that reason we provide only a highly condensed summary here (see the review in [68]).”
Rough sets methodology for sorting problems in presence of multiple attributes and criteria (2002, methodology): “Other extensions of RST for dealing with problems of MCDA are described in Greco et al. (1999, 2000, 2001a).”
Knowledge acquisition in incomplete information systems: A rough set approach (2006, methodology): “After the lower and the upper approximations have been found, rough-set theory can then be used to derive both certain and possible rules, see e.g. Greco et al. (2001), Lin and Yao (1996), Pawlak (1991, 2001), Stefanowski (1998), Stefanowski and Vanderpooten (1994), Tsumoto (1998), and etc.”
Statistical Model for Rough Set Approach to Multicriteria Classification (2007, methodology): “Rough set theory [13] has been adapted to deal with this kind of inconsistency and the resulting methodology has been called Dominance-based Rough Set Approach (DRSA) [7, 8].”
Multicriteria classification and sorting methods: A literature review (2002, methodology): “The decision rule preference model has also been considered in terms of conjoint measurement (Greco et al., 2001b).”
An Extension of the Electre I Method for Group Decision-Making Under a Fuzzy Environment (2011, background): “, Electre methods) is their ability to take ordinal scales into account without converting the original scales into abstract ones with an arbitrary imposed range [46] and at the same time maintain the original verbal meaning (see [47] for an example of a methodology considering purely ordinal scales”