|
Abstract |
5-6 |
|
Dedication |
6-7 |
|
Acknowledgements |
7-11 |
|
List of tables |
11-12 |
|
List of figures |
12-13 |
|
1 Introduction To Expert Systems |
13-41 |
|
1.1 ductiIntroon |
13-24 |
|
1.1.1 Knowledge Base |
14-20 |
|
1.1.1.1 Frames |
14-16 |
|
1.1.1.2 Semantic Networks |
16-18 |
|
1.1.1.3 Rule Based Systems |
18-20 |
|
1.1.2 Inference Engine |
20-23 |
|
1.1.2.1 Forward chaining |
20-22 |
|
1.1.2.2 Backward chaining |
22-23 |
|
1.1.2.3 Forward vs Backward Reasoning |
23 |
|
1.1.3 User Interface |
23-24 |
|
1.2 General Concepts Of Expert Systems |
24-26 |
|
1.3 Characteristics Of an Expert Systems |
26-27 |
|
1.4 Expert Systems Applications and Domains |
27-31 |
|
1.4.1 Applications of Expert Systems |
27-30 |
|
1.4.2 Appropriate Domains For Expert Systems |
30-31 |
|
1.5 Languages, Shells And Tools |
31-33 |
|
1.6 Expert System Development Stages |
33-38 |
|
1.6.1 identification |
33-34 |
|
1.6.2 Conceptualization |
34-36 |
|
1.6.3 Formalization |
36-37 |
|
1.6.4 Implementation |
37 |
|
1.6.5 Testing |
37-38 |
|
1.7 Fuzzy Expert systems |
38-41 |
|
1.7.1 Fuzzy logic |
38-39 |
|
1.7.2 Fuzzy Sets |
39 |
|
1.7.3 Fuzzy And NonFuzzy Set |
39-41 |
|
2 Examples Of Some Expert Systems |
41-54 |
|
2.1 Introduction |
41 |
|
2.2 MYCIN Expert System |
41-44 |
|
2.3 SENEX Expert System |
44-45 |
|
2.4 Highway Concrete (HWYCON) Expert System |
45-48 |
|
2.4.1 Background And Development Of HWYCON |
45-46 |
|
2.4.2 Knowledge Domain |
46-47 |
|
2.4.3 Requirements For Using HWYCON |
47-48 |
|
2.5 Financial, Investment, and Clearing Banks Expert Systems |
48-49 |
|
2.6 Marine Navigation Expert Systems |
49-51 |
|
2.6.1 ANVAR Expert System |
49 |
|
2.6.2 Real Time KBS In Marine Navigation |
49-51 |
|
2.6.2.1 The Domain And Analysis |
50 |
|
2.6.2.2 Knowledge Analysis |
50-51 |
|
2.6.2.3 System Development |
51 |
|
2.7 ALDACS Expert System |
51-54 |
|
2.7.1 Knowledge Elicitation |
52-53 |
|
2.7.2 System Hardware and Software |
53-54 |
|
3 Field Knowledge And Building Materials |
54-81 |
|
3.1 Introduction |
54 |
|
3.2 Varieties Of Cement |
54-55 |
|
3.3 Cement Grade |
55-57 |
|
3.4 Mixture Constituents |
57-65 |
|
3.5 Adscititious Constituents |
65-71 |
|
3.6 Diagnosis Of Failures |
71-73 |
|
3.7 Conclusion %26 Repairments |
73-81 |
|
4 Concept And Idea About Design The System (ASEES) |
81-92 |
|
4.1 Introduction |
81-82 |
|
4.2 The system ASEES |
82-86 |
|
4.2.1 Concrete Materials Design (CON-MAT-DES) |
83 |
|
4.2.2 Diagnosis and Repairment (MIX-DIAG-REP) |
83-86 |
|
4.3 Design of the System ASEES |
86-88 |
|
4.3.1 knowledge base |
86 |
|
4.3.2 Knowledge Representation |
86 |
|
4.3.3 Database |
86 |
|
4.3.4 Inference engine |
86-88 |
|
4.3.5 Development platform |
88 |
|
4.4 Implementation of the system ASEES |
88-92 |
|
4.4.1 User interface |
88-91 |
|
4.4.2 Knowledge |
91-92 |
|
5 Main Details For The System ASEES |
92-108 |
|
5.1 Introduction |
92 |
|
5.2 ASEES expert system |
92-93 |
|
5.3 Knowledge Domain |
93-94 |
|
5.4 Design Of The Object-Oriented Expert System |
94 |
|
5.5 Rule-Development |
94-104 |
|
5.5.1 Concrete Mixture Design |
94-99 |
|
5.5.1.1 Identify the Mixture constituents |
96-97 |
|
5.5.1.2 Identify the adscititious constituents |
97-99 |
|
5.5.2 Diagnosis %26 Repairment Rules |
99-104 |
|
5.6 Microsoft Access and databases |
104-106 |
|
5.7 Constructing The Interface |
106-108 |
|
6 Conclusions and Future Work |
108-109 |
|
References |
109-113 |
|
List Of Publications |
113 |
