The use of fuzzy outranking relations in preference modelling
Fuzzy Sets and Systems - Special issue dedicated to Professor Claude Ponsard
Intelligent Decision Support: Handbook of Applications and Advances of the Rough Sets Theory
Intelligent Decision Support: Handbook of Applications and Advances of the Rough Sets Theory
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Set Learning of Preferential Attitude in Multi-Criteria Decision Making
ISMIS '93 Proceedings of the 7th International Symposium on Methodologies for Intelligent Systems
A New Rough Set Approach to Multicriteria and Multiattribute Classification
RSCTC '98 Proceedings of the First International Conference on Rough Sets and Current Trends in Computing
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Solving multicriteria decision problems, like choice and ranking, requires the use of DM's preference model. In this paper we advocate for the preference model in terms of "if..., then..." decision rules induced from decision examples provided by the DM. This model has two advantages over the classical models: (i) it is intelligible and speaks the language of the DM, (ii) the preference information comes from observation of DM's decisions. For a finite set A of actions evaluated by a family of criteria, we consider the preference information given in the form of pairwise comparisons of reference actions presented in a pairwise comparison table (PCT). In PCT, pairs of actions from a subset B A A are described by preference relations on particular criteria and by a comprehensive outranking relation. Using the dominance-based rough set approach to the analysis of the PCT, we obtain a rough approximation of the outranking relation by a dominance relation. Then, a set of "if..., then..." decision rules is induced from these approximations. The decision rules constitute the preference model which is then applied to a set M? A of (new) actions. As a result, we obtain a four-valued outranking relation on set M. In order to obtain a final recommendation in the problem of choice or ranking, the four-valued outranking relation on set M is exploited using a net flow score procedure.