Intelligent Technology for Optimizing the Management of Order Flows of Service Systems With Imprecisely Defined and Natural Language Data

Intelligent Technology for Optimizing the Management of Order Flows of Service Systems With Imprecisely Defined and Natural Language Data

Purpose. The tasks of data classification and optimization of order flow management in service systems are widespread. The development of an intelligent information technology (IIT) for optimal management of order flows in service systems (OMFS&S), taking into account imprecisely defined and nat...

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Bibliografische gegevens
Hoofdauteurs:	V. V. Skalozub, V. M. Horiachkin, І. А. Terletskyi
Formaat:	Artikel
Taal:	English
Gepubliceerd in:	Ukrainian State University of Science and Technologies 2023-06-01
Reeks:	Nauka ta progres transportu
Onderwerpen:	software intelligent information technology modified hamming networks natural language data uncertainty conditions product procedures optimization order flows service systems
Online toegang:	http://stp.diit.edu.ua/article/view/288077

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