Session:

Mini-Symposia: Computational Medicine Building and Applying Intelligent Systems in Health
Tuesday, March 02, 2004, 12.30 – 12.50

Session Chair:

Peter Kokol

Paper Title:

To Combine or not Combine: Integration of Rough Sets in Multimethod Approach?

Author(s):

M. Mertik, Laboratory for System Design, University of Maribor, Slovenia
M. Molan Štiglic, Laboratory for System Design, University of Maribor, Slovenia
M. Lenic, Laboratory for System Design, University of Maribor, Slovenia
Peter Kokol, Laboratory for System Design, University of Maribor, Slovenia

Abstract:

Due to the weakness of single methods their integration into hybrids is intensively researched in recent years. Most of these approaches use the static approach which is not successful in every situation therefore we build Multimethod approach that dynamically combines different machine learning methods following the assumption that only the synergetic combination of single models can unleash their full power. To increase the power of Multimethod approach we have to use as many as possible methods, which have to be integrated in Multimethod framework. In this paper we present a feasibility study for integration of the rough sets and its possible contributions to the system as a whole.