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Performance Prediction and Analytics of Fuzzy, Reliability and Queuing Models : Theory and Applications

Deep, Kusum and Jain, Madhu and Salhi, Said, eds. (2019) Performance Prediction and Analytics of Fuzzy, Reliability and Queuing Models : Theory and Applications. Asset Analytics . Springer, Singapore, Singapore, 250 pp. ISBN 978-981-1308-56-7. E-ISBN 978-981-1308-57-4. (doi:10.1007/978-981-13-0857-4) (KAR id:68436)

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Official URL
http://dx.doi.org/10.1007/978-981-13-0857-4.

Abstract

This book presents the latest developments and breakthroughs in fuzzy theory and

optimization theory. The main focus is on analytics that use fuzzy logic, queuing and reliability

including call centers, telecommunication, manufacturing, service organizations, etc. For the dayto-

embedded in computer, communication and manufacturing systems, the book assesses various

at the best decisions with regard to service and engineering systems. In twenty chapters, the

queuing models in a diverse range of scenarios. The topics discussed will be of interest to

Management, and the Mathematical Sciences.

Item Type: Edited book
DOI/Identification number: 10.1007/978-981-13-0857-4
Uncontrolled keywords: analytics, fuzzy logic, reliability, performance, prediction, queueing
Subjects: H Social Sciences > H Social Sciences (General)
Divisions: Divisions > Kent Business School > Kent Business School
Central Services > Research and Innovation Services
Divisions > Kent Business School > Centre for Logistics and Heuristic Optimisation
Depositing User: Said Salhi
Date Deposited: 26 Jul 2018 10:26 UTC
Last Modified: 16 Feb 2021 13:57 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/68436 (The current URI for this page, for reference purposes)
Salhi, Said: https://orcid.org/0000-0002-3384-5240
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