2006

paper

english

EN Dominance-based Rough Set Approach (DRSA) has been proposed for multi-criteria classification problems in order to handle inconsistencies in the input information with respect to the dominance principle. The end result of DRSA is a decision rule model of Decision Maker preferences. In this paper, we consider an additive function model resulting from dominance-based rough approximations. The presented approach is similar to UTA and UTADIS methods. However, we define a goal function of the optimization problem in a similar way as it is done in Support Vector Machines (SVM). The problem may also be defined as the one of searching for linear value functions in a transformed feature space obtained by exhaustive binarization of criteria.

499 - 500

10.1007/11785231_53

https://link.springer.com/chapter/10.1007/11785231_53

Artificial Intelligence and Soft Computing – ICAISC 2006 : 8th International Conference, Zakopane, Poland, June 25-29, 2006. Proceedings

8th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2006, 25-29.06.2006, Zakopane, Poland