Decision Support Systems
About this book
Decision support systems (DSS) have evolved over the past four decades from theoretical concepts into real world computerized applications. DSS architecture contains three key components: knowledge base, computerized model, and user interface. DSS simulate cognitive decision-making functions of humans based on artificial intelligence methodologies (including expert systems, data mining, machine learning, connectionism, logistical reasoning, etc.) in order to perform decision support functions. The applications of DSS cover many domains, ranging from aviation monitoring, transportation safety, clinical diagnosis, weather forecast, business management to internet search strategy. By combining knowledge bases with inference rules, DSS are able to provide suggestions to end users to improve decisions and outcomes. This book is written as a textbook so that it can be used in formal courses examining decision support systems. It may be used by both undergraduate and graduate students from diverse computer-related fields. It will also be of value to established professionals as a text for self-study or for reference.
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Table of contents
- Decision Support Systems
- Preface
- Contents
- 1. Motivational Framework: Insights into Decision Support System Use and Decision Performance
- 2. New Architecture for Intelligent Multi-Agents Paradigm in Decision Support System
- 3. A Hybrid Decision Model for Improving Warehouse Efficiency in a Process-oriented View
- 4. Connectionist Models of Decision Making
- 5. Data Mining and Decision Support:An Integrative Approach
- 6. Testing Methods for Decision Support Systems
- 7. Decision Support Systems for Pharmaceutical Formulation Development Based on ArtificialNeural Networks
- 8. Clinical Decision Support Systems: An Effective Pathway to Reduce Medical Errorsand Improve Patient Safety
- 9. Knowledge Bases for Clinical Decision Supportin Drug Prescribing – Development, QualityAssurance, Management, Integration,Implementation and Evaluation of Clinical Value
- 10. Develop a Spatial Decision Support Systembased on Service-Oriented Architecture
- 11. Spatial Decision Support System for Bank-Industry Based on GISand Expert Systems Integration
- 12. A Web-Based Data Management and Analysis System for CO2 Capture Process
- 13. Case Studies of Canadian Environmental Decision Support Systems
- 14. Expanding Decision Support SystemsOutside Company Gates
- 15. Design and Implementation of a Decision Support System for Analysing Ranking AuctionMarkets for Internet Search Services
- 16. A Fuzzy – Based Methodology for AggregativeWaste Minimization in the Wine Industry
- 17. Prospects of Automation Agentsin Agribusiness (Hop Industry) DecisionSupport Systems Related to Production,Marketing and Education
- 18. Automatically Building Diagnostic BayesianNetworks from On-line Data Sources and theSMILE Web-based Interface
- 19. Decision Support System Based on Effective Knowledge Management Framework To ProcessCustomer Order Enquiry
- 20. Decision Support for Web-based Prequalification Tender Management Systemin Construction Projects
- 21. Decision Support Systems used in Disaster Management
- 22. Security as a Game – Decisions from Incomplete Models