Alexandr Nikolaevich Tselykh
Research interests:
Expert systems, decision making, cognitive models, fuzzy sets, mathematical methods and algorithms.
Research projects:
Rsearch of new approaches for the development of the knowledge base rule-based Expert System (ES) based on the properties of cause-and-effect relations between the attributes of a logical inference. It is proposed to use fuzzy cognitive maps, which are represented by fuzzy weighted signed directed graphs with feedback cycles; the graph stands as a base to generate antecedents and consequents set of the fuzzy rules to the ES based on the fuzzy inference engine. The resulting knowledge base uses the system qualities to improve the intelligence of logical inference.
Teaching:
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