Structuring of knowledge as a method of improvement decision support systems in the production of entomophages
DOI:
https://doi.org/10.31548/energiya2022.03.005Abstract
The article is devoted to the issue of creating intelligent decision support systems in the production of entomophages using data mining, structural synthesis, frame-based modeling, a precedent approach.
The aim of the study was to improve intelligent decision support systems in the production of entomophages based on knowledge structuring.
The object of research is the processes of using information flows used to manage the production of entomophages.
Using the FreeMind software environment, the factors influencing the decision-making processes in the production of entomophages are structured in the form of an associative map.
The components of decision-making regarding the quality assurance of entomological products under conditions of uncertainty are noted.
A frame structure of information flows in the management of the production of entomophages has been developed.
The algorithm for constructing an intelligent decision support system in the production of entomophages has been improved.
Directions for improving intelligent decision support systems in the production of entomophages are proposed based on the structuring of knowledge using frames and associative maps using data mining, previous technological experience in the form of knowledge bases of precedents and actions of a human operator in production management processes.
The results of research can serve as an information base for the development of decision theory in the production of entomophages.
Key words: entomophages production, decision support systems, data mining, frame, precedent
References
Lysenko, V. P., Chernova, I. S. (2021). Intelektualne upravlinnia vyrobnytstvom entomofahiv: monohrafiia [Intelligent management of entomophages production: monograph]. Odesa: Feniks, 156.
Tomchuk, O. F. (2010). Metodychni pryiomy i sposoby systemnoho analizu pry vyrishenni upravlinskykh problem [Methodological techniques and ways of system analysis in solving management problems]. Naukovyi visnyk LNUVMBT imeni S.Z. Gzhytskoho, 12, 3(45), 5, 272-280.
Nesterenko, O. V., Kovtunets, O. V., Falovskyi, O. O. (2017). Intelektualni systemy i tekhnolohii. Vvidnyi kurs: Navch. Posib. [Intelligent systems and technologies. Introductory course: Textbook]. Kyiv: Natsionalna akademiia upravlinnia, 90.
Zaiets, N. A., Rohovyk, A. V., Shtepa, V. M. (2018). Vyznachennia neshtatnykh sytuatsii na pidpryiemstvakh kharchovoi promyslovosti ta rozrobka systemy pidtrymky pryiniattia rishen [Identification of abnormal situations in the food industry and development of a decision support system]. Enerhetyka i avtomatyka, 5, 34-47. http://dx.doi.org/10.31548/energiya2018.05.034
Vlasenko, L. O., Afanasova, S. A. (2017). Ontolohichnyi pidkhid do rozrobky intelektualnoi pidsystemy pidtrymky pryiniattia rishen na osnovi obrobky statystychnykh danykh [Ontological approach to the development of an intelligent decision support subsystem based on statistical processing]. Mater. IV Mizhnar. i nauk.-tekhn. Internet-konf. «Suchasni metody, informatsiine, prohramne ta tekhnichne zabezpechennia system keruvannia orhanizatsiino-tekhnichnymy ta tekhnolohichnymy kompleksamy». Kyiv: NUKhT, 118-119.
Mulesa, O., Bilak, Yu. (2021). Pidkhid do proektuvannia system pidtrymky pryiniattia upravlinskykh rishen v umovakh ryzyku ta nevyznachenosti [Approach to designing systems to support management decision-making in conditions of risk and uncertainty]. Avtomatyzatsiia tekhnolohichnykh i biznes-protsesiv, 13(3), 30-34. https://doi.org/10.15673/atbp.v13i3.2146
Bardachov, Yu. M., Ohnieva, O. Ye. (2013). Pidtrymka pryiniattia rishennia pry vyznachenni efektyvnosti upravlinnia promyslovym pidpryiemstvom [Support decision-making in determining the effectiveness of industrial enterprise management].Tezy dopov. ХІ Mizhnar. nauk.-prakt. konf. «Matematychne ta prohramne zabezpechennia intelektualnykh system» (MPZIS-2013). Dnipropetrovsk, 14-15.
Chalyi, S. S., Levykin, I. V. (2016). Metod adaptyvnoho protsesnoho upravlinnia na osnovi pretsedentnoho pidkhodu [Method of adaptive process management based on precedent approach]. Naukoiemni tekhnolohii, 4 (32), 410-414.
Vakhniuk, S. V. (2011). Tekhnolohiia stvorennia prohramnykh ta intelektualnykh system: Navch. Posib. [Technology of creation of software and intellectual systems: Textbook]. Sumy: DVNZ “UABS NBU”, 254.
Lysenko, V., Chernova, I. (2020). Intelligent Decision Support System in Entomophages Production. Proceedings of IEEE International Conference on Problems of Infocommunications Science and Technology. Kharkiv, Ukraine, 225-228. https://doi.org/10.1109 / PICST51311.2020.9467999
Chernova, I. S. (2021). Do pytannia zabezpechennia yakosti protsesiv vyrobnytstva entomofahiv [On the issue of ensuring the quality of entomophagous production processes]. Mater. Mizhnar. nauk. konf. z nahody 50-richchia ITI "Biotekhnika" NAAN Ukrainy. Odesa. Informatsiinyi biuleten SPRS MOBB, 58, 56-60.
Yartsev, V. P. (2018). Orhanizatsiia baz danykh ta znan: Navch. Posib. [Organization of databases and knowledge: Textbook]. Kyiv: DUT, 214.
DSTU 4757:2007. (2010). Promyslova entomolohiia. Terminy ta vyznachennia poniat [Industrial entomology. Terms and concepts]. Chynn. vid 01. 01.2009. Kyiv, Derzhspozhyvstandart Ukrainy, 20.
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