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1. NAME: DHEERAJ AGRAWAL
DIV.: C
ROLL NO.: 11
ENROLL NO.: 147110592023
SUBJECT
MANAGEMENT INFORMATION SYSTEM
PARUL INSTITUTE OF MANAGEMENT &
RESEARCH

2.  An Expert System (ES)
◦ A knowledge-based information system
◦ Contain knowledge about a specific, complex application
area
◦ Acts as an expert consultant to end users

3.  High Level Expertise.
 Institutional Memory.
 Ability To Provide A Training Facility.
 Predictive Modeling Power.

4.  KNOWLEDGE BASE
◦ Facts about a specific subject area.
◦ Heuristics that express the reasoning procedures of an expert
(rules of thumb).
 SOFTWARE RESOURCES
◦ An inference engine processes the knowledge
and recommends a course of action.
◦ User interface programs communicate with
the end user.
◦ Explanation programs explain the reasoning process to the
end user.

5.  A KNOWLEDGE ENGINEER
◦ Works with experts to capture the knowledge (facts and
rules of thumb) they possess
◦ Builds the knowledge base, and if necessary,
the rest of the expert system
◦ Performs a role similar to that of systems
analysts in conventional information systems development.

7.  CASE-BASED
◦ Knowledge organized in the form of cases.
◦ Cases are examples of past performance, occurrences, and
experiences.
 FRAME-BASED
◦ Knowledge organized in a hierarchy or
network of frames.
◦ A frame is a collection of knowledge about
an entity, consisting of a complex package
of data values describing its attributes.

8.  OBJECT-BASED
◦ Knowledge represented as a network of objects
◦ An object is a data element that includes both data and the
methods or processes that act on those data
 RULE-BASED
◦ Knowledge represented in the form of rules
and statements of fact
◦ Rules are statements that typically take the
form of a premise and a conclusion (If, Then)

9.  DECISION MANAGEMENT
◦ Loan portfolio analysis
◦ Employee performance evaluation
 PROCESS MONITORING/CONTROL
◦ Machine control (including robotics)
◦ Inventory control
◦ Production monitoring

10.  DESIGN/CONFIGURATION
◦ Computer option installation
◦ Manufacturability studies
◦ Communications networks
 SELECTION/CLASSIFICATION
◦ Material selection
◦ Information classification
◦ Suspect identification

11.  Easy to develop and modify.
 Faster and more consistent than an expert.
 Can contain knowledge of multiple experts.
 Does not get tired or distracted.
 Cannot be overworked or stressed.
 Helps preserve and reproduce the knowledge
of human experts.

12.  The major limitations of expert systems
◦ Limited focus.
◦ Inability to learn.
◦ Maintenance problems.
◦ Development cost.
◦ Possibility of error.
◦ Can only solve specific types of problems
in a limited domain of knowledge.