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

• Corporate Author: SpringerLink (Online service)
• Other Authors: Deep, Kusum (Editor, http://id.loc.gov/vocabulary/relators/edt), Jain, Madhu (Editor, http://id.loc.gov/vocabulary/relators/edt), Salhi, Said (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Asset Analytics, Performance and Safety Management,
• Subjects: Big data.; Operations research.; Decision making.; Quality control.; Reliability.; Industrial safety.; Big Data/Analytics.; Operations Research/Decision Theory.; Quality Control, Reliability, Safety and Risk.

This book presents the latest developments and breakthroughs in fuzzy theory and performance prediction of queuing and reliability models by using the stochastic modeling and optimization theory. The main focus is on analytics that use fuzzy logic, queuing and reliability theory for the performance...