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Asset Analytics

Performance Prediction and Analytics of Fuzzy, Reliability and Queuing Models

Theory and Applications

Editors: Deep, Kusum, Jain, Madhu, Salhi, Said (Eds.)

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  • Presents the latest fuzzy logic analytics
  • Discusses recent developments in and analytics for queuing and reliability modeling
  • Focuses on optimal strategies and performance prediction for queuing systems
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eBook $119.00
price for USA in USD (gross)
  • ISBN 978-981-13-0857-4
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Hardcover $159.99
price for USA in USD
  • ISBN 978-981-13-0856-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $159.99
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  • ISBN 978-981-13-4519-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

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 prediction and optimal design of real-time engineering systems including call centers, telecommunication, manufacturing, service organizations, etc. For the day-to-day as well as industrial queuing situations and reliability prediction of machining parts embedded in computer, communication and manufacturing systems, the book assesses various measures of performance and effectiveness that can provide valuable insights and help arrive at the best decisions with regard to service and engineering systems. 

In twenty chapters, the book presents both theoretical developments and applications of the fuzzy logic, reliability and queuing models in a diverse range of scenarios. The topics discussed will be of interest to researchers, educators and undergraduate students in the fields of Engineering, Business Management, and the Mathematical Sciences. 

About the authors

Dr. Kusum Deep is a Professor at the Department of Mathematics, Indian Institute of Technology Roorkee. Her research interests include numerical optimization, nature inspired optimization, computational intelligence, genetic algorithms, parallel genetic algorithms, and parallel particle swarm optimization.  

Dr. Madhu Jain is an Associate Professor at the Department of Mathematics, Indian Institute of Technology Roorkee. Her research interests include computer communications networks, performance prediction of wireless systems, mathematical modeling, and biomathematics.  

Dr. Said Salhi is Director of the Centre for Logistics & Heuristic Optimization (CLHO) at Kent Business School, University of Kent, UK. Prior to his appointment at Kent in 2005, Said served at the University of Birmingham’s School of Mathematics for 15 years, where in the latter years he acted as Head of the Management Mathematics Group. He obtained his BSc in Mathematics at Algiers’s University, and his MSc and PhD in OR at Southampton (Institute of Mathematics) and Lancaster (School of Management), respectively. Dr. Said has edited 6 special journal issues, chaired the European Working Group in Location Analysis in 1996 and recently the International Symposium on Combinatorial Optimisation (CO2016) in Kent, 1–3 September 2016. He has published over 100 papers in academic journals.


Table of contents (20 chapters)

Table of contents (20 chapters)
  • Busy Period Analysis of $$\textit{GI/G/c}$$ and $$\textit{MAP/G/c}$$ Queues

    Pages 1-31

    Chakravarthy, Srinivas R.

  • Solving LP Models for Multi-objective Matrix Games with I-Fuzzy Goals

    Pages 33-42

    Kumar, Sandeep

  • Fuzzy Integrated Super-Efficiency Slack Based Measure Model

    Pages 43-53

    Arya, Alka (et al.)

  • Prioritizing Factors Affecting the Adoption of Mobile Financial Services in Emerging Markets—A Fuzzy AHP Approach

    Pages 55-81

    Gupta, Kriti Priya (et al.)

  • Design of Reliability Single Sampling Plan by Attributes Based on Exponentiated Exponential Distribution

    Pages 83-91

    Loganathan, A. (et al.)

Buy this book

eBook $119.00
price for USA in USD (gross)
  • ISBN 978-981-13-0857-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $159.99
price for USA in USD
  • ISBN 978-981-13-0856-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $159.99
price for USA in USD
  • ISBN 978-981-13-4519-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Performance Prediction and Analytics of Fuzzy, Reliability and Queuing Models
Book Subtitle
Theory and Applications
Editors
  • Kusum Deep
  • Madhu Jain
  • Said Salhi
Series Title
Asset Analytics
Copyright
2019
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-13-0857-4
DOI
10.1007/978-981-13-0857-4
Hardcover ISBN
978-981-13-0856-7
Softcover ISBN
978-981-13-4519-7
Series ISSN
2522-5162
Edition Number
1
Number of Pages
VII, 282
Number of Illustrations
7 b/w illustrations, 45 illustrations in colour
Topics