Models of temporal dependencies for a probabilistic knowledge base

• Autorzy: Chala O.
• Języki publikacji: EN

Abstrakty

EN

The article presents models of temporal dependences for constructing probabilistic temporal rules in the Markov Logical Networks. Such rules describe the relations between the states of a control object and taking account the possibility of integrating different approaches of management according to the paradigm of «Enterprise 2.0» knowledge sharing. The proposed models define constraints and conditions for changing the states of a control object, which allows predicting possible variants of its behavior in relation to the current state and providing decision support based on a choice of the most likely variants.

Słowa kluczowe

EN

temporal dependencies; temporal rule; knowledge base; information control system; event; attribute; event log

• Wydawca: Polish Academy of Sciences, Branch in Lublin
• Czasopismo: ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
• Rocznik: 2018
• Tom: Vol. 7, No 3
• Strony: 53--58
• Opis fizyczny: Bibliogr. 15 poz., rys., tab., wz.

Twórcy

autor

Chala O.

• Kharkiv National University of Radio Electronics, Nauka Ave, 14, Kharkov, 61166, Ukraine

Bibliografia

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• 12. Levykin V., Chala O. 2018. Method of automated construction and expansion of the knowledge base of the business process management system. EUREKA: Physics and Engineering, 4, 29-35.
• 13. Levykin V., Chala O. 2018. Method of determining weights of temporal rules in markov logic network for building knowledge base in information control system. EUREKA: Physics and Engineering, 5, 29-35.
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• 15. Beskorovainyi V. V., Berezovskyi H. 2017. Identification of preferences in decision support systems. Econtechmod. An international quarterly journal. Vol. 6, No 4, 15–20.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).