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...
Main Authors: | V. V. Skalozub, V. M. Horiachkin, І. А. Terletskyi |
---|---|
Formato: | Artigo |
Idioma: | English |
Publicado em: |
Ukrainian State University of Science and Technologies
2023-06-01
|
Colecção: | Nauka ta progres transportu |
Assuntos: | |
Acesso em linha: | http://stp.diit.edu.ua/article/view/288077 |
Registos relacionados
-
Investigation of Hamming Network Procedures for Controlling Service Systems with Smprecisely Defined and Natural Language Data
Por: V. V. Skalozub, et al.
Publicado em: (2022-12-01) -
Complex Models of Ordering Multi-Sequences with Fuzzy Parameters
Por: V. V Skalozub, et al.
Publicado em: (2021-04-01) -
Imprecise Uncertain Reasoning: A Distributional Approach
Por: Gernot D. Kleiter
Publicado em: (2018-10-01) -
Mail Bride Order Dalam Prespektif HAM Internasional
Por: Hidayatika Gilang Pamungkas
Publicado em: (2019-12-01) -
On the Construction of Admissible Orders for Tuples and Its Application to Imprecise Risk Matrices
Por: Juan Baz, et al.
Publicado em: (2024-06-01)