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vol 67 / February, 2024
Article

DOI 10.17586/0021-3454-2020-63-11-985-994

UDC 519.71

FUZZY-PROBABILISTIC APPROACH TO FORMALIZING AND USING EXPERT KNOWLEDGE TO EVALUATE COMPLEX OBJECTS STATES

A. V. Spesivtsev
Mozhaisky Military Space Academy;


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Abstract. A new fuzzy-probabilistic approach is proposed for solving the problem of monitoring a complex object state. The approach provides the possibility to extract, represent, formalize, and employ explicit and implicit expert knowledge about such objects using analytical expressions. The proposed approach combines elements of the theory of fuzzy sets in terms of expert knowledge representation and formali-zation by the methods of the theory of experiments planning when assessing the state of complex object. A complex object functioning is characterized by the presence of both measurable and non-measurable (organoleptic) information, which significantly complicates creation of a mathematical apparatus for con-trol systems. All stages of solving the problem of constructing a fuzzy-probability model are considered, an example of using the proposed approach for assessing of a specific complex object state is given.
Keywords: explicit and implicit expert knowledge, extraction and formalization of expert knowledge, complex ob-jects, state assessment, fuzzy-probabilistic approach

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