| |
Preface |
6 |
|
| |
Contents |
9 |
|
| |
Part I: Complex Business Problems |
12 |
|
| |
1 Introduction |
13 |
|
| |
2 Characteristics of Complex Business Problems |
18 |
|
| |
3 An Extended Example: Car Distribution |
34 |
|
| |
4 Adaptive Business Intelligence |
46 |
|
| |
Part II: Prediction and Optimization |
56 |
|
| |
5 Prediction Methods and Models |
57 |
|
| |
6 Modern Optimization Techniques |
83 |
|
| |
7 Fuzzy Logic |
124 |
|
| |
8 Artificial Neural Networks |
137 |
|
| |
9 Other Methods and Techniques |
156 |
|
| |
Part III: Adaptive Business Intelligence |
180 |
|
| |
10 Hybrid Systems and Adaptability |
181 |
|
| |
12 Applying Adaptive Business Intelligence |
218 |
|
| |
13 Conclusions |
242 |
|
| |
Index |
246 |
|
