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Decision Support and Expert Systems: Management Support SystemsJanuary 1993
Publisher:
  • Prentice Hall PTR
  • Upper Saddle River, NJ
  • United States
ISBN:978-0-02-421691-5
Published:01 January 1993
Pages:
960
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Abstract

From the Publisher:

This book is widely known for its comprehensive treatment of decision support theory and how it is applied.

Through four editions, this book has defined the course and set the standard for up-to-date coverage of the latest decision support theories and practices by managers and organizations. This fifth edition has been streamlined and updated throughout to reflect new computing technologies. Chapter 9 has been completely rewritten to focus on the Internet and Intranet. The reader will find expanded coverage of data warehousing, data mining, on-line analytical processes, and an entirely new chapter on intelligent agents (Ch. 19). Internet related topics and links to Internet exercises and cases appear throughout the new edition.

Cited By

  1. ACM
    Vidaković M, Ćosić S, Ćosić O, Kaštelan I and Velikić G Adding AI to the Decision Support System used in Patient Health Assessment Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare, (399-402)
  2. Walls J, Caciagli P, Tooker J, Russo J, Rajotte E and Rosa C (2016). Modeling the decision process for barley yellow dwarf management, Computers and Electronics in Agriculture, 127:C, (775-786), Online publication date: 1-Sep-2016.
  3. Sinha A and Zhao H (2018). Tuning expert systems for cost-sensitive decisions, Advances in Artificial Intelligence, 2011, (1-12), Online publication date: 1-Jan-2011.
  4. Wang J, Wu Y, Liu X and Gao X (2010). Knowledge acquisition method from domain text based on theme logic model and artificial neural network, Expert Systems with Applications: An International Journal, 37:1, (267-275), Online publication date: 1-Jan-2010.
  5. Prelipcean G, Moisescu F, Boscoianu M, Ciufudean C and Cioban G A hybrid trading system for defence procurement applications Proceedings of the 9th WSEAS international conference on Simulation, modelling and optimization, (173-178)
  6. Gebus S and Leiviskä K (2009). Knowledge acquisition for decision support systems on an electronic assembly line, Expert Systems with Applications: An International Journal, 36:1, (93-101), Online publication date: 1-Jan-2009.
  7. Le Bars M and Le Grusse P (2008). Use of a decision support system and a simulation game to help collective decision-making in water management, Computers and Electronics in Agriculture, 62:2, (182-189), Online publication date: 1-Jul-2008.
  8. Basnet C, Foulds L and Parker W (2006). IPManager, Decision Support Systems, 41:2, (532-541), Online publication date: 1-Jan-2006.
  9. Fagerholt K (2004). A computer-based decision support system for vessel fleet scheduling, Decision Support Systems, 37:1, (35-47), Online publication date: 1-Apr-2004.
  10. Richards D Ripple down rules Decision making support systems, (207-226)
  11. Mathieu R and Schell G (2019). An Information Scanning Approach for Learning to Work on the Internet, Education and Information Technologies, 6:1, (55-61), Online publication date: 1-Mar-2001.
  12. Fuerst W, Ragusa J and Turban E (1994). Expert systems and multimedia, Journal of Management Information Systems, 11:3, (155-179), Online publication date: 1-Dec-1994.
Contributors
  • University of Hawaiʻi System
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