DSS Vs Expert System
By Anita JohriINFS 401
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What is DSS?• Helps in 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 Components of DSS:
• Model Management• Data Management• User Interface Management
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Examples…of DSS:
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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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Problems in developing an ES:
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1. The expert is unable to communicate his/her ideas2. The expert is unwilling to communicate his/her ideas3. The expert is not available4. Can all the testing be accomplished?5. User acceptance
Disadvantages of Rule-Based Expert Systems
1. Common sense2. Creativity 3. Learning 4. Sensory Experience 5. Degradation
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Advantages of ES
• Availability• Cheaper• Reduced danger• Permanence• Multiple expertise• Explanation• Fast response• Unemotional and response at
all times
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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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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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DSS
• Facilitates decision making
• Unstructured environment
• Alternatives may not be fully realized yet
• Extract or gain knowledge from a computer system
• Use goals and the system data to establish alternatives and outcomes, so a good decision can be made
Expert Systems
• Automate decision making.
• The decision environments have structure
• The alternatives and goals are often established in advance.
• Inject expert knowledge in to a computer system.
• The expert system can eventually replace the human decision maker.
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References:
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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_decision_support_system
http://en.wikipedia.org/wiki/Decision_support_system
www.google.com
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