Aspects of Foundation of Knowledge Base in Decision-Making Tasks for the Needs of Intellectual Robots

Kristine Mezale, Andris Kundzins, Zigurds Markovics


To ensure an intellectual operation of the robot in decision-making tasks, its control system must have a knowledge base that encompasses a full set of results in the corresponding field. The knowledge base can be based upon several types of decision-making rules, including sets of production rules, which are best presented in the form of decision tables. The present paper investigates the versions of synthesis of decision tables in the fuzzy environment depending on the mutual relationships between criteria.


Artificial intelligence; decision rules; decision tables; decision trees; decision-making criteria; fuzzy sets; linguistic variables; robot

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DOI: 10.7250/tcc.2015.005


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