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Course Outline
DECISION SUPPORT SYSTEMS
Abraham Otero
Abraham Otero
DECISION SUPPORT SYSTEMS
1/11
Course Outline
This course
Describes the decision making process
Describes the architecture of a decision support system
(DSS)
Presents the techniques most commonly employed in
the construction of decision support systems, and in
making decisions with the support of the system.
Presents the problems related to decision support
systems that are not yet resolved satisfactorily at
present and, therefore, are open research areas
Abraham Otero
DECISION SUPPORT SYSTEMS
2/11
1
Course Outline
More specifically, after finishing this course,
students will:
Understand the process of decision making and each of
its phases
Understand the general architecture of a DSS
Design a DSS
Have criteria to evaluate the various options to build a
DSS
Know the challenges and possible solutions that may
arise during the construction of the data subsystem of a
DSS
Abraham Otero
DECISION SUPPORT SYSTEMS
3/11
Course Outline
More specifically, after finishing this course,
students will:
Understand the functionality, pros and cons of the
possible components (models) that can be used in the
model subsystem of a DSS
Identify problems and possible solutions related to the
dialogue subsystem of a DSS
Know the problems that are commonly faced by DSS
users
Know the problems that are still not resolved in the field
of DSS and, therefore, they are open research fields
Abraham Otero
DECISION SUPPORT SYSTEMS
4/11
2
Agenda
Introduction
Introduction
Computerized Decision Support
DSS architecture
BI and DSS
DSS life cycle
Decision making
Decision making
Phases of the decision process
The intelligence phase
The design phase
The choice phase
Implementation phase
How decisions are supported
Abraham Otero
DECISION SUPPORT SYSTEMS
5/11
Agenda
DSS architecture
DSS Characteristics and Capabilities
DSS architecture
Data Management Subsystem
The Model Management Subsystem
The Dialog (User Interface) Subsystem
Other components
Data Management Subsystem
The database
Why do I need a data warehouse?
Data warehouse architecture
Exploring a data warehouse
Data warehouse implementation
ETL systems
Data preparation
Real-time data warehousing
Abraham Otero
DECISION SUPPORT SYSTEMS
6/11
3
Agenda
The Model Management Subsystem
About models
About models
Mathematical programming
Regression
Influence diagram
Decision Tree
Introduction to Artificial Intelligence
Introduction to Artificial Intelligence
Search problems
Fuzzy logic
Neural Networks
Genetic algorithms
Bioinspired Computation
Abraham Otero
DECISION SUPPORT SYSTEMS
7/11
Agenda
The Model Management Subsystem
Expert systems
Introduction
Expert systems architecture
Inference engines strategies
Data Mining
Data Mining Overview
Building a decision tree
Rule systems
Association rules
Clustering
Bayesian networks
Abraham Otero
DECISION SUPPORT SYSTEMS
8/11
4
Agenda
The Model Management Subsystem
Other topics related to the model subsystem
Sensitivity analysis
Model evaluation
Guidelines for method selection
Model management
The dialog subsystem
Functions of the dialog subsystem
Usability
Some design guidelines
Interaction Modalities
Typical user complaints
Intelligent user interface
Future trends
Abraham Otero
DECISION SUPPORT SYSTEMS
9/11
Practice
We will apply the
theoretical concepts
of the course to
build an expert
system using
CLIPS.
Abraham Otero
DECISION SUPPORT SYSTEMS
10/11
5
On the shoulders of giants
Thanks to
Efraim Turban, Jay E. Aronson, TingPeng Liang and Ramesh Sharda for
the support materials of their book
"Decision Support and Business
Intelligence Systems"
John M. Gallaugher for his interesting
case studies
Joseph C. Giarratano for the CLIPS
user's guide
Kathryn Blackmond Laskey for his
course Decision Support Systems
Engineering
Lucy Hederman for his course in expert
systems
The authors of more websites than I
can remember
Abraham Otero
DECISION SUPPORT SYSTEMS
11/11
6