DSS Vs Expert System
      By Anita Johri
        INFS 401
       Spring 2012
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 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:
        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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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                                                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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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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Dss vs expert system

  • 1.
    DSS Vs ExpertSystem 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. Spring 2012 Anita Johri - INFS 401 2
  • 3.
    3 Components ofDSS: • Model Management • Data Management • User Interface Management Spring 2012 Anita Johri - INFS 401 3
  • 4.
    Examples…of DSS: Spring 2012 Anita Johri - INFS 401 4
  • 5.
    What is ExpertSystem? • 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 Spring 2012 Anita Johri - INFS 401 5
  • 6.
    Problems in developingan 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 Spring 2012 Anita Johri - INFS 401 6
  • 7.
    Advantages of ES • Availability • Cheaper • Reduced danger • Permanence • Multiple expertise • Explanation • Fast response • Unemotional and response at all times Spring 2012 Anita Johri - INFS 401 7
  • 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? Spring 2012 Anita Johri - INFS 401 8
  • 9.
    Where are ExpertSystem 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 Spring 2012 Anita Johri - INFS 401 9
  • 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 Spring 2012 Anita Johri - INFS 401 10
  • 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 Spring 2012 Anita Johri - INFS 401 11