Abstract
The paper includes issues related to process of global decision-making on the basis of knowledge which is stored in several local knowledge bases. The paper proposes a new approach to organization of structure of multi-agent decision-making system, operating on the basis of dispersed knowledge. In the presented system, the local knowledge bases will be combined into groups in a dynamic way. We will seek to designate groups of local bases on which the test object is classified to the decision classes in a similar manner. Then in the created groups a process of elimination inconsistencies in the knowledge will be implemented. Global decisions will be made by using one of the methods of analysis of conflict. The paper includes the definition of multi-agent decision-making system with dynamically generated clusters and a description of global decision-making process. In addition, the paper presents results of experiments carried out on data from the UCI repository.
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