Decision Rule Approach

Salvatore Greco (), Benedetto Matarazzo () and Roman Słowinński ()
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Salvatore Greco: University of Catania
Benedetto Matarazzo: University of Catania
Roman Słowinński: Institute of Computing Science, Poznań University of Technology

Chapter Chapter 13 in Multiple Criteria Decision Analysis: State of the Art Surveys, 2005, pp 507-555 from Springer

Abstract: Abstract We present the methodology of Multiple-Criteria Decision Aiding (MCDA) based on preference modelling in terms of “if. ⋯, then ⋯” decision rules. The basic assumption of the decision rule approach is that the decision maker (DM) accepts to give preferential information in terms of examples of decisions and looks for simple rules justifying her decisions. An important advantage of this approach is the possibility of handling inconsistencies in the preferential information, resulting from hesitations of the DM. The proposed methodology is based on the elementary, natural and rational principle of dominance. It says that if action is at least as good as action on each criterion from a considered family, then is also comprehensively at least as good as The set of decision rules constituting the preference model is induced from the preferential information using a knowledge discovery technique properly modified, so as to handle the dominance principle. The mathematical basis of the decision rule approach to MCDA is the Dominance-based Rough Set Approach (DRSA) developed by the authors. We present some basic applications of this approach, along with didactic examples whose aim is to show in an easy way how DRSA can be used in various contexts of MCDA.

Keywords: Dominance; rough sets; decision rules; multiple criteria classification; choice and ranking (search for similar items in EconPapers)
Date: 2005
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Citations: View citations in EconPapers (26)

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DOI: 10.1007/0-387-23081-5_13

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