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...

書誌詳細
主要な著者:	V. V. Skalozub, V. M. Horiachkin, І. А. Terletskyi
フォーマット:	論文
言語:	English
出版事項:	Ukrainian State University of Science and Technologies 2023-06-01
シリーズ:	Nauka ta progres transportu
主題:	software intelligent information technology modified hamming networks natural language data uncertainty conditions product procedures optimization order flows service systems
オンライン･アクセス:	http://stp.diit.edu.ua/article/view/288077

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