Vadim L. Arshinskiy (arshinskyv@mail.ru), Leonid V. Arshinskiy (larsh@mail.ru), Khishigsuren Dorjsuren (khishigsurenkhishgee238@gmail.com)

Irkutsk National Researching Technical University, Irkutsk State Transport University, Transport Institute of Mongolia

The paper is devoted to the discussion of the aggregated estimation features for production and economic systems by means of logical-mathematical modeling. The technique of expert estimation of quality functioning of such systems on the base of knowledge technologies is considered. The basis is the modeling of the system by means of a set of fuzzy products and the calculation of the aggregated estimation during the fuzzy logical inference with the help of the appropriate expert system. Questions of assignment of degrees of truth to fuzzy productions, assignment of estimates to functional elements, problems of choice of the law of aggregation, questions of need of additional transformations (calibration) of result are discussed. The result of the study is to clarify the methods of logical-axiological estimation for production and economic systems.

aggregated estimation, production knowledge base, fuzzy inference, production and economic system, expert system.