Knowledge transformation and decision support systems

Authors:
Dana Klimešová;Eva Ocelíková
Affiliations:
Czech Univ. of Life Sci., Prague, Faculty of Economics and Management, Dept. of Inf. Eng., Praha 6, Suchdol, Czech Republic and Czech Academy of Sciences, Inst. of Inf. Theory and Automation, Dept ...;Faculty of Electrical Engineering and Informatics, Technical University of Košice, Košice, Slovakia
Venue:
MAMECTIS'10 Proceedings of the 12th WSEAS international conference on Mathematical methods, computational techniques and intelligent systems
Year:
2010

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Abstract

In this paper, the problem of multi-criteria evaluation is addressed and the different ways of knowledge integration is discussed. The contribution deals with the problem of detecting, interpretation and understanding various contexts on the background of the process understanding and the context applying. Despite rapid progress in this area, there are still a significant number of challenges that need to be addressed to enable automatic contextual decision making. Those challenges include robust detection of the context, its interpretation, multi-level semantic information and understanding on the base of inference from object interactions. The paper discuss the contribution of context to improve cognitive processes and moreover to compensate and decrease the uncertainty of data.