DSS vs Expert system presentation

1. DSS Vs Expert System
By Anita Johri
INFS 401
Spring 2012

2. What is DSS?
• Helps is decision making when trying to figure out solution for a non structured
decision. Focuses on problems that are unique, non routine & rapidly changing.
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3. 3 Components of DSS:
• Model Management
• Data Management
• User Interface Management
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4. Examples…of DSS:
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5. What is Expert System?
• Major roles of individuals
who interact with the system
– Domain expert
– Knowledge engineer
– User
• The major components are:
• Knowledge base
• Working storage
• Inference engine
• User interface
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6. Problems in developing an ES:
1. The expert is unable to communicate his/her ideas
2. The expert is unwilling to communicate his/her ideas
3. The expert is not available
4. Can all the testing be accomplished?
5. User acceptance
Disadvantages of Rule-Based Expert Systems
1. Common sense
2. Creativity
3. Learning
4. Sensory Experience
5. Degradation
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7. Advantages of ES
• Availability
• Cheaper
• Reduced danger
• Permanence
• Multiple expertise
• Explanation
• Fast response
• Unemotional and response at
all times
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8. Ethical implications:
Do you want to put a decision about your
life in the hands of a computer?
When do you think you’d trust a
computer’s judgment over a doctors?
Does anyone know any examples of expert
systems used in everyday life?
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9. Where are Expert System used?
• Aircraft accident investigations- GP1020 Computer Tool
• Robotic surgeries. more than 300 surgeries done.
• Scientist use Robots in space research/ or radioactive places where its not safe for
humans to go.
• Interactive games : Chess, Wii
• Saya : Taking tech classes.
(surprise, fear, disgust, anger,
happiness and sadness)
• Triage – Medical Diagnosis (Medical Expert System)
• Patriot Missile Guidance System
– Radar identifies Scud missile
– System steers Patriot missile to intercepts Scud missile
– Laws of physics, expert knowledge about missile trajectory is captured in the
system
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10. DSS Expert Systems
• Facilitates decision making • Automate decision making.
• Unstructured environment • The decision environments have
structure
• Alternatives may not be fully • The alternatives and goals are
realized yet often established in advance.
• Extract or gain knowledge from a • Inject expert knowledge in to a
computer system computer system.
• Use goals and the system data to • The expert system can eventually
establish alternatives and replace the human decision maker.
outcomes, so a good decision can
be made
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11. References:
http://worldacademyonline.com/article/25/367/dss_applications.html
http://www.tech-faq.com/decision-support-system.html
http://wiki.answers.com/Q/Different_between_expert_system_and_de
cision_support_system
http://en.wikipedia.org/wiki/Decision_support_system
www.google.com
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