Methodological bases for using express and implied expert knowledge when evaluating the state of difficult objects

Abstract

Purpose. Currently, in the process of solving a wide range of problems in various subject areas, methods for assessing the state of complex objects (SLO) are actively used, among which expert knowledge (EK) occupies a special place. The article proposes a methodological approach to the use of explicit and implicit EK in assessing and predicting the state of the SL. Materials and methods. The article proposes an original fuzzy-feasibility approach to extracting, representing and formalizing the EK in the form of analytical models for assessing the state of the SL. Results. The article describes the essence of solving problems of extraction, formalization, processing and use of explicit and implicit expert knowledge for assessing the state of an SLO at a meaningful level. An example of solving the problem of predicting the level of damage to structural elements and equipment of launch complexes under conditions of intense thermal loading is given. Conclusions. The proposed methodological approach to formalization of explicit and implicit EZ in the form of fuzzy-possibility models has great prospects, since relies on fundamental and applied results obtained so far in theory and practice of application in various subject areas.