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Transcript
DSS & Warehousing Systems
Chapter 11
Efrem Mallach
Prepared by
Luvai Motiwalla
1
Irwin/McGraw-Hill
Copyright © 2000 by The McGraw-Hill Companies, Inc. All rights reserved.
Expert Systems
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Introduction
Expert systems and DSS
Confidence factors
Fuzzy logic
Expert system development tools
Choosing a good expert system application
Finding the expert(s)
Expert systems and DSS
Pros and cons of expert systems
Irwin/McGraw-Hill
Copyright © 2000 by The McGraw-Hill Companies, Inc. All rights reserved.
Introduction
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3
Artificial Intelligence:The field of artificial
intelligence encompasses several areas,of
these expert systems are the most useful in
DSS overall.
Irwin/McGraw-Hill
Copyright © 2000 by The McGraw-Hill Companies, Inc. All rights reserved.
Expert Systems and DSS
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4
Expert systems are not an alternative to DSS.
Rather, expert system,s are a technology that
is often useful in constructing a DSS.
Irwin/McGraw-Hill
Copyright © 2000 by The McGraw-Hill Companies, Inc. All rights reserved.
Confidence Factors
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5
What are confidence factors?
Where confidence factors come from?
Irwin/McGraw-Hill
Copyright © 2000 by The McGraw-Hill Companies, Inc. All rights reserved.
Fuzzy Logic
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6
Fuzzy logic is an approach to dealing with
imprecise knowledge in a precise way.
Irwin/McGraw-Hill
Copyright © 2000 by The McGraw-Hill Companies, Inc. All rights reserved.
Expert System Development Toolscont’d
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7
Expert systems are usually developed using
preprogrammed shells. A shell provides an
inference engine and a user interface.
Irwin/McGraw-Hill
Copyright © 2000 by The McGraw-Hill Companies, Inc. All rights reserved.
Expert System Development Tools

8
Languages: There are several reasons one
might develop an expert system without using
a commercial shell.
Irwin/McGraw-Hill
Copyright © 2000 by The McGraw-Hill Companies, Inc. All rights reserved.
Choosing a Good Expert System
Application-cont’d
9
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It is convenient to divide the selection
characteristics into
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(A) the characteristics of the problem to be
solved
Irwin/McGraw-Hill
Copyright © 2000 by The McGraw-Hill Companies, Inc. All rights reserved.
Choosing a Good Expert System
Application
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10
(B) the characteristics of the human experts
who solve the problem.
Irwin/McGraw-Hill
Copyright © 2000 by The McGraw-Hill Companies, Inc. All rights reserved.
Finding the Expert(s)
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11
At least one competent, willing, and
cooperative expert must be available to
develop an expert system.
Irwin/McGraw-Hill
Copyright © 2000 by The McGraw-Hill Companies, Inc. All rights reserved.
Expert Systems and DSS

12
Expert systems reproduce the reasoning
process a human decision maker would go
through in reaching a decision, diagnosing a
problem or suggesting a course of action.
Irwin/McGraw-Hill
Copyright © 2000 by The McGraw-Hill Companies, Inc. All rights reserved.
Pros and Cons of Expert Systems
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13
Expert systems can provide substantial
benefits in some DSS. At the same time, no
tool is perfect for all applications.It always has
its advantages and drawbacks.
Irwin/McGraw-Hill
Copyright © 2000 by The McGraw-Hill Companies, Inc. All rights reserved.