To purchase hard copies of this book, please email:
orders@intechopen.com
By only printing on demand InTech ensures our carbon footprint is kept to a minimum.
The data below shows the environmental impact of printing one single book:
58.59 kg wood
3.15 g CO2
53.19 ml Water
Share this page
Decision Support Systems
Edited by Chiang S. Jao, ISBN 978-953-7619-64-0, Hard cover, 406 pages, Publisher: InTech, Published: January 01, 2010 under CC BY-NC-SA 3.0 license, in subject Numerical Analysis and Scientific Computing
DOI: 10.5772/3453
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.
This book is indexed in:
Book contents
- Chapter 1Motivational Framework: Insights into Decision Support System Use and Decision Performance
- Chapter 2New Architecture for Intelligent Multi-Agents Paradigm in Decision Support System
- Chapter 3A Hybrid Decision Model for Improving Warehouse Efficiency in a Process-oriented View
- Chapter 4Connectionist Models of Decision Making
- Chapter 5Data Mining and Decision Support: An Integrative Approach
- Chapter 6Testing Methods for Decision Support Systems
- Chapter 7Decision Support Systems for Pharmaceutical Formulation Development Based on Artificial Neural Networks
- Chapter 8Clinical Decision Support Systems: An Effective Pathway to Reduce Medical Errors and Improve Patient Safety
- Chapter 9Knowledge Bases for Clinical Decision Support in Drug Prescribing – Development, Quality Assurance, Management, Integration, Implementation and Evaluation of Clinical Value
- Chapter 10Develop a Spatial Decision Support System Based on Service-Oriented Architecture
- Chapter 11Spatial Decision Support System for Bank-Industry Based on GIS and Expert Systems Integration
- Chapter 12A Web-Based Data Management and Analysis System for CO2 Capture Process
- Chapter 13Case Studies of Canadian Environmental Decision Support Systems
- Chapter 14Expanding Decision Support Systems Outside Company Gates
- Chapter 15Design and Implementation of a Decision Support System for Analysing Ranking Auction Markets for Internet Search Services
- Chapter 16A Fuzzy – Based Methodology for Aggregative Waste Minimization in the Wine Industry
- Chapter 17Prospects of Automation Agents in Agribusiness (Hop Industry) Decision Support Systems Related to Production, Marketing and Education
- Chapter 18Automatically Building Diagnostic Bayesian Networks from On-line Data Sources and the SMILE Web-based Interface
- Chapter 19Decision Support System Based on Effective Knowledge Management Framework To Process Customer Order Enquiry
- Chapter 20Decision Support for Web-based Prequalification Tender Management System in Construction Projects
- Chapter 21Decision Support Systems used in Disaster Management
- Chapter 22Security as a Game – Decisions from Incomplete Models
