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Management Support Systems Sarabjit Kumar, Lovely Professional University

Notes Unit 14: Knowledge-based Decision Support

CONTENTS
Objectives
Introduction

14.1 Artificial Intelligence
14.1.1 Definitions of Artificial Intelligence
14.1.2 Areas of Artificial Intelligence

14.2 Expert System
14.2.1 Rule-based System
14.2.2 Components of Rule-based Expert System
14.2.3 Theory of Rule-based Systems
14.2.4 Direction of Searching

14.2.5 Techniques of Searching
14.2.6 Creation of Expert Systems
14.2.7 Benefits of Expert System

14.2.8 Problems with Expert Systems
14.2.9 Limitations of Expert System
14.2.10 Success Factors
14.3 Summary
14.4 Keywords

14.5 Review Questions
14.6 Further Readings

Objectives

After studying this unit, you will be able to:

Discuss the Concept of Artificial Intelligence
Explain the Concept of Expert Systems
Discuss Benefits, Problems and Limitations of Expert Systems
Discuss the Success Factors of Expert System

Introduction

A knowledge-based decision support system is a system that can undertake intelligent tasks in
a specific domain that is normally performed by highly skilled people. Typically, the success of
such a system relies on the ability to represent the knowledge for a particular subject.
Computerized decision support systems can be used by project participants to help make more
informed decisions regarding the management of variation orders in projects by providing

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