Intelligent Decision-making Support Systems

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Format: Hardcover
Pub. Date: 2006-06-30
Publisher(s): Springer Nature
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Summary

Decision-making Support Systems (DMSS) are computer-based systems that support individual or organisational decision-making processes. Recent advances in information technology and artificial intelligence are enhancing these systems and giving rise to intelligent-DMSS.Intelligent Decision-making Support Systems: Foundations, Applications and Challenges is the first book to provide integrated coverage of the technical aspects of intelligent Decision-Making Support Systems together with discussion of their application and evaluation in organisational structures.The book brings together up-to-date information on the theory and application of i-DMSS. Readers will learn about the foundations, architectures, methods and strategies for successfully designing, developing, implementing, and evaluating intelligent Decision-making Support Systems.Intelligent Decision-making Support Systems: Foundations, Applications and Challenges will be of value to researchers in AI and management studies interested in the latest thinking in decision-making, as well practising managers and consultants who are involved with putting advanced information technologies into practice in organisations.

Author Biography

Professor Jatinder N. D. Gupta is currently Eminent Scholar of Management of Technology, Professor of Management Information Systems, Industrial and Systems Engineering and Engineering Management, and Chairperson of the Department of Accounting and Information Systems at the University of Alabama in Huntsville, Huntsville, Alabama. He holds a PhD in Industrial Engineering (with specialization in Production Management and Information Systems) from Texas Tech University. Dr. Gupta serves on the editorial boards of several national and international journals. Recipient of the Outstanding Faculty and Outstanding Researcher awards from Ball State University, he has published numerous papers many journals. He was also editor of the book Decision Making Support Systems: Achievements and Challenges for the New Decade (Idea Group Publishing, 2002). His current research interests include e-commerce, supply chain management, information and decision technologies, scheduling, planning and control, organizational learning and effectiveness, systems education, knowledge management, and enterprise integration. Guisseppi A. Forgionne is Professor of Information Systems at the University of Maryland Baltimore County (UMBC). Professor Forgionne holds a B.S. in Commerce and Finance, an M. A. in Econometrics, an M. B. A., and a Ph. D. in Management Science and Econometrics. He has published 25 books and approximately 150 research articles and consulted for a variety of public and private organizations on decision support systems theory and applications. Professor. Forgionne also has served as department chair at UMBC, Mount Vernon College, and Cal Poly Pomona. He has received several national and international awards for his work. Manuel Mora is an associate professor of the Information System Department at the Autonomous University of Aguascalientes (UAA). He holds a Dr. in Engineering degree from the Engineering School in UNAM, Mexico (largest research university in Mexico). He also received his BSc and MSc degrees in Computer Systems and Artificial Intelligence from the Monterrey Tech (ITESM). His main research interest is the design and implementation of traditional and intelligent Decision Making Support Systems (DSS, EIS and ES/KBS) from a systemic and cybernetic perspective.

Table of Contents

Part I Foundations of i-DMSS
1 A Multicriteria Model for the Evaluation of Intelligent Decision-making Support Systems (i-DMSS)
3(22)
Glora Phillips-Wren, Manuel Mora, Guisseppi A. Forgionne, Leonardo Garrido and Jatinder N.D. Gupta
2 On the Legacy of Herbert Simon and his Contribution to Decision-making Support Systems and Artificial Intelligence
25(20)
Jean-Charles Pomerol and Frédéric Adam
3 Synergizing the Artificial Intelligence and Decision Support Research Streams: Over a Decade of Progress with New Challenges on the Horizon
45(12)
Jason Nichols and Michael Goul
4 From Knowledge Discovery to Computational Intelligence: A Framework for Intelligent Decision Support Systems
57(22)
Sergio Viademonte and Frada Burstein
5 Taking Decisions into the Wild: An AI Perspective in the Design of i-DMSS
79(18)
Hamid R. Ekbia
6 Development Processes of Intelligent Decision-making Support Systems: Review and Perspective
97(26)
Alexandre Gachet and Pius Haettenschwiler
7 Explanatory Power of Intelligent Systems
123(24)
Robbie T. Nakatsu
Part II Applications of i-DMSS
8 A New Paradigm for Developing Intelligent Decision-making Support Systems (i-DMSS): A Case Study on the Development of Comparison-shopping Agents
147(20)
Yun Wan
9 A Causal Knowledge-driven Negotiation Mechanism for B2B Electronic Commerce
167(20)
Kun-Chang Lee and Soonjae Kwon
10 A Simulation Study of Just-in-time Knowledge Management (JITKM)
187(12)
Nabie Y. Conteh and Guisseppi A. Forgionne
11 An IDSS for Regional Aquaculture Planning
199(20)
Omar El-Gayar and Kanchana Tandekar
12 An i-DMSS Based on Bipartite Matching and Heuristics for Rental Bus Allocation
219(18)
Katta G. Murty and Woo-Je Kim
13 MicroDEMON: A Decision-making Intelligent Assistant for Mobile Business
237(18)
Guliano Pistolesi
14 Using System Dynamics and Case-based Reasoning (CBR) to Build an Intelligent Decision-making Support System (i-DMSS) that Improves Strategic Public Decisions
255(16)
Carlos A. Legna and Carina S. González
15 e-Negotiation Systems and Software Agents: Methods, Models, and Applications
271(30)
Peter Braun, Jakub Brzostowski, Gregory Kersten, Jin Baek Kim, Ryszard Kowalczyk, Stefan Strecker and Rustam Vahidov
16 Knowledge-intensive Collaborative Decision Support for Design Process
301(20)
Xuan F. Zha and Ram D. Sriramahidov
17 The Application of Semantic Web Technologies for Railway Decision Support
321(20)
Jinwei Lu, Clive Roberts, Karl Lang, Alan Stirling and Keith Madelin
Part III Trends of i-DMSS
18 The Challenge of Supporting Emerging Inference-based Decision-making
341(18)
C. Gustav Lundberg
19 A Role for Information Portals as Intelligent Decision Support Systems: Breast Cancer Knowledge Online Experience
359(26)
Frada Burstein, Sue McKemmish, Julie Fisher, Rosetta Manaszewicz and Pooja Malhotra
20 An Overview of Future Challenges of Decision Support Technologies
385(16)
Nikos Karacapilidis
21 A Challenging Future for i-DMSS
401(22)
Nathalie Cassaigne and Lionel Lorimier
22 A Software Laboratory for Advancing Decision Support Simulation
423(18)
Gerald R. Wagner, David Paradice and James Courtney
23 A Strategic Descriptive Review of Intelligent Decision-making Support Systems Research: the 1980-2004 Period
441(24)
Manuel Mora, Guisseppi A. Forgionne, Jatinder N.D. Gupta, Leonardo Garrido, Osvei Gelman and Francisco Cervantes
24 The Optimization of What?
465(18)
Andrew M. McCosh and Bertha A. Correa-Pérez
Contributor Biographies 483(14)
Index 497

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