ABSTRACT

This project, Expert System on Avian and Fever Diagnosis, is a software system tailored for use in the Diagnosis of Avian Fever Diseases. The software is an expert system with a database containing an expert knowledge. The user only uses it to determine whether he or she has any of the diseases within its domain and also Present expert system uses inference rules and plays an important role that will provide certain methods of diagnosis for treatment. The software has been designed to be interactive with audio capability eliciting from the user if they have symptoms of the diseases. The user response helps the expert system to determine the level at which the disease is present. The user is further advised on what next to do. This software is implemented in visual C# programming environment, due to its appropriateness and user-friendliness.

CHAPTER 1: Introduction 1

1.0 Introduction 1

1.1 Statement of the Problem 2

1.2 Objectives 3

1.3 Significance of the study 3

CHAPTER 2: Literature Review4

2.0 Introduction 4

2.lTheoretical Background 4

2.1.1 Rule —Based Systems 4

2.1.2 Knowledge -Based Systems 5

2.1.3 Neural Networks 5

2.1.4 Fuzzy Expert Systems 6

2.2 Review of Related Literature 7

2.2.1 System Architecture and their Application 7

2.2.2 Intelligent Agents and their Application 7

2.2.3 Ontology and their Application 7

2.2.4 Database Methodology .8

2.2.5 Discussions Based on the Methodology 8

2.2.6 Knowledge Acquisition 9

2.2.7 Knowledge Representation 9

2.3 Summary 10

CHAPTER 3: System Analysis and Design 12

3.0 Introduction 12

3.0.lMethodology 12

3.1 Description of the existing system 14

3.2 Analysis of the proposed system 15

3.3 Design of the proposed system 17

3.4 Database Design 19

CHAPTER 4: System Implementation 22

4.0 Introduction 22

4.1 Choice of Development Environment 22

4.2 Implementation Architecture 24

4.3 Software Testing 25

4.4 Documentation 27

4.4.1 User Manual 27

4.4.2 Soft code Listing 28

CHAPTER 5: Summary, Conclusion, Recommendations 29

5.0 Summary 29

5.1 Conclusion 29

5.2 Recommendation 30

Reference

Appendices