Matches in SemOpenAlex for { <https://semopenalex.org/work/W4211093466> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W4211093466 endingPage "38" @default.
- W4211093466 startingPage "27" @default.
- W4211093466 abstract "The effectiveness of fuzzy cognitive modeling methods for analyzing and predicting the state of complex technical systems (STS) is justified by the following reasons: significant interdependence, non-linear nature and incompleteness of information about the mutual influence of the analyzed parameters of the CTS; a variety of effects of internal and external factors on the CTS; complexity and cost of conducting experimental studies during the operation of these systems. The main limitations of fuzzy cognitive models for modeling STS dynamics are: the complexity of taking into account the mutual influence of parameters with their different time lags relative to each other; the need for their constant operational adjustment and training of component models for all parameters during the operation of the CTS. In this paper, Fuzzy Relational Cognitive Temporal Models (FRCTM) are developed. These models combine the advantages of various types of fuzzy cognitive models, and at the same time neutralize the main limitations of the analysis and prediction of the state of the CTS, which are inherent in the well- known fuzzy cognitive models. The paper also proposes models of system dynamics that take into account the specifics of the FRCTM. We have also developed an approach and implemented a method for calculating fuzzy dependencies in vector-matrix form for dynamic modeling of the CTS. The proposed method makes it possible to solve the problems of increasing the uncertainty of the results and the output of fuzzy values of the FRCTM concepts beyond the ranges of the base sets due to the execution of mass iterative computations. An example of modeling heterogeneous electromechanical systems based on FRCTM is given. The results obtained are the basis for solving a whole range of tasks of analysis, predictive evaluation, modeling of different scenarios of the functioning and development of heterogeneous electromechanical systems for various system factors, operating modes and external conditions." @default.
- W4211093466 created "2022-02-13" @default.
- W4211093466 creator A5004573503 @default.
- W4211093466 creator A5032820490 @default.
- W4211093466 creator A5079540784 @default.
- W4211093466 creator A9999999999 @default.
- W4211093466 date "2022-01-30" @default.
- W4211093466 modified "2023-10-01" @default.
- W4211093466 title "Fuzzy relational cognitive temporal models for analyzing and state prediction of complex technical systems" @default.
- W4211093466 doi "https://doi.org/10.37791/2687-0649-2022-17-1-27-38" @default.
- W4211093466 hasPublicationYear "2022" @default.
- W4211093466 type Work @default.
- W4211093466 citedByCount "5" @default.
- W4211093466 countsByYear W42110934662022 @default.
- W4211093466 countsByYear W42110934662023 @default.
- W4211093466 crossrefType "journal-article" @default.
- W4211093466 hasAuthorship W4211093466A5004573503 @default.
- W4211093466 hasAuthorship W4211093466A5032820490 @default.
- W4211093466 hasAuthorship W4211093466A5079540784 @default.
- W4211093466 hasAuthorship W4211093466A9999999999 @default.
- W4211093466 hasBestOaLocation W42110934661 @default.
- W4211093466 hasConcept C119857082 @default.
- W4211093466 hasConcept C121332964 @default.
- W4211093466 hasConcept C124101348 @default.
- W4211093466 hasConcept C136197465 @default.
- W4211093466 hasConcept C154945302 @default.
- W4211093466 hasConcept C168167062 @default.
- W4211093466 hasConcept C169760540 @default.
- W4211093466 hasConcept C169900460 @default.
- W4211093466 hasConcept C195975749 @default.
- W4211093466 hasConcept C29470771 @default.
- W4211093466 hasConcept C41008148 @default.
- W4211093466 hasConcept C5041914 @default.
- W4211093466 hasConcept C58166 @default.
- W4211093466 hasConcept C86803240 @default.
- W4211093466 hasConcept C97355855 @default.
- W4211093466 hasConceptScore W4211093466C119857082 @default.
- W4211093466 hasConceptScore W4211093466C121332964 @default.
- W4211093466 hasConceptScore W4211093466C124101348 @default.
- W4211093466 hasConceptScore W4211093466C136197465 @default.
- W4211093466 hasConceptScore W4211093466C154945302 @default.
- W4211093466 hasConceptScore W4211093466C168167062 @default.
- W4211093466 hasConceptScore W4211093466C169760540 @default.
- W4211093466 hasConceptScore W4211093466C169900460 @default.
- W4211093466 hasConceptScore W4211093466C195975749 @default.
- W4211093466 hasConceptScore W4211093466C29470771 @default.
- W4211093466 hasConceptScore W4211093466C41008148 @default.
- W4211093466 hasConceptScore W4211093466C5041914 @default.
- W4211093466 hasConceptScore W4211093466C58166 @default.
- W4211093466 hasConceptScore W4211093466C86803240 @default.
- W4211093466 hasConceptScore W4211093466C97355855 @default.
- W4211093466 hasIssue "1 (97)" @default.
- W4211093466 hasLocation W42110934661 @default.
- W4211093466 hasOpenAccess W4211093466 @default.
- W4211093466 hasPrimaryLocation W42110934661 @default.
- W4211093466 hasRelatedWork W2100415822 @default.
- W4211093466 hasRelatedWork W2105904143 @default.
- W4211093466 hasRelatedWork W2112778063 @default.
- W4211093466 hasRelatedWork W2135592048 @default.
- W4211093466 hasRelatedWork W2567152721 @default.
- W4211093466 hasRelatedWork W297822718 @default.
- W4211093466 hasRelatedWork W3031509314 @default.
- W4211093466 hasRelatedWork W32657058 @default.
- W4211093466 hasRelatedWork W847941854 @default.
- W4211093466 hasRelatedWork W2169659138 @default.
- W4211093466 hasVolume "17" @default.
- W4211093466 isParatext "false" @default.
- W4211093466 isRetracted "false" @default.
- W4211093466 workType "article" @default.