Decision Sciences
  1. 1,026 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

About this book

This handbook is an endeavour to cover many current, relevant, and essential topics related to decision sciences in a scientific manner. Using this handbook, graduate students, researchers, as well as practitioners from engineering, statistics, sociology, economics, etc. will find a new and refreshing paradigm shift as to how these topics can be put to use beneficially. Starting from the basics to advanced concepts, authors hope to make the readers well aware of the different theoretical and practical ideas, which are the focus of study in decision sciences nowadays. It includes an excellent bibliography/reference/journal list, information about a variety of datasets, illustrated pseudo-codes, and discussion of future trends in research.

Covering topics ranging from optimization, networks and games, multi-objective optimization, inventory theory, statistical methods, artificial neural networks, times series analysis, simulation modeling, decision support system, data envelopment analysis, queueing theory, etc., this reference book is an attempt to make this area more meaningful for varied readers. Noteworthy features of this handbook are in-depth coverage of different topics, solved practical examples, unique datasets for a variety of examples in the areas of decision sciences, in-depth analysis of problems through colored charts, 3D diagrams, and discussions about software.

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Yes, you can access Decision Sciences by Raghu Nandan Sengupta, Aparna Gupta, Joydeep Dutta, Raghu Nandan Sengupta,Aparna Gupta,Joydeep Dutta in PDF and/or ePUB format, as well as other popular books in Negocios y empresa & Operaciones. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2016
eBook ISBN
9781482282566
Edition
1
Subtopic
Operaciones

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Table of Contents
  7. About the Book
  8. Acknowledgments
  9. Editors
  10. Contributors
  11. 1: Convex Functions in Optimization
  12. 2: Introduction to Game Theory
  13. 3: Multi-Objective Optimization
  14. 4: Hybridizing MOEAs with Mathematical-Programming Techniques
  15. 5: Other Decision-Making Models
  16. 6: Queueing Theory
  17. 7: Inventory Theory
  18. 8: Statistical Methods
  19. 9: Univariate Time-Series Analysis and Forecasting: Theory and Practice
  20. 10: Univariate Volatility Modeling: Theory and Practice
  21. 11: Metaheuristic Techniques
  22. 12: Neural Networks
  23. 13: Simulation Modeling and Analysis
  24. 14: Web-Enabled Decision-Support Systems
  25. 15: Algorithms and Their Design
  26. 16: Data Envelopment Analysis: An Overview
  27. Index