Modeling by Computational Intelligence under Uncertainty in Information SystemsSupervisor: prof. RNDr. Radko Mesiar, DrSc.
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|Project description:||The project focus of bringing together scientists working on methods for the management of uncertainty and aggregation of information in intelligent systems and to promote and disseminate the methods, techniques and developments of Fuzzy Logic and technologies. Multicriteria decision making methods by means of sequences of aggregation operators refining the known and applied methods will be examined. A deeper look on the stability of connectives applied in intelligent computing to control the possible errors spreading will be provided, especially on important k-Lipschitz aggregation operators. To apply such models in practice also genetic algorithms and neural networks help to reach the goal.|
|Kind of project:||APVV ()|
|Department:||Department of Mathematics and Constructive Geometry (FCE)|
|Project status:||Successfully completed|
|Project start date :||01. 01. 2008|
|Project close date:||31. 12. 2009|
|Number of workers in the project:||1|
|Number of official workers in the project:||0|