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Models of representation of fuzzy temporal knowledge in databases of temporal series
Authors:L S Bernshtein  S M Kovalev  A V Muravskii
Affiliation:(1) Rostov-on-Don State University of Communication Lines, pl. Rostovskogo Strelkovogo Polka Narodnogo Opolcheniya 2, Rostov-on-Don, Russia;(2) Rostov-on-Don Branch, Federal State Unitary Enterprise State Scientific Research Institute for Aviation Systems, Rostov-on-Don, Russia;(3) Taganrog Institute of Radio Engineering, ul. Chekhova 22, Taganrog, 347915, Russia
Abstract:the problem of representation of fuzzy knowledge in databases of temporal series is considered. The existing approaches to formalization and search of temporal knowledge in such databases are described. A new class of models for representation of fuzzy temporal knowledge in databases of time series is proposed in order to support the processes of knowledge revealing. The methodology of estimating the efficiency of representations based on the use of general-system principles of human thinking and speaking communication is presented. Based on the selected system of criteria, the advantages of the proposed class of models are substantiated.
Keywords:
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