| English Abstract | 第4页 |
| Chinese Abstract | 第9-14页 |
| Chapter 1 Preface | 第14-30页 |
| 1．1 Introduction | 第14-18页 |
| 1．2 Basic Models of Stochastic Programming | 第18-25页 |
| 1．3 Relation about Basic Models | 第25-28页 |
| 1．4 Structure of Article | 第28-30页 |
| Chapter 2 Integrated Chance Constraints Model of Stochastic Programming | 第30-51页 |
| 2．1 Expanding of Integrated Chance Constraints Model | 第30-32页 |
| 2．2 Character of Integrated Chance Constraints Model | 第32-38页 |
| 2．3 Hybrid Intelligent Algorithm for ICC(β) with Discrete Random Variable | 第38-46页 |
| 2．4 Polynomial-Time Algorithm for ICC(β) with Continuous Random Variable | 第46-51页 |
| Chapter 3 Recourse Model of Stochastic Programming | 第51-61页 |
| 3．1 Equivalence of Two-stage Model with Recourse | 第51-56页 |
| 3．2 Dual of Two-stage Model with Recourse | 第56-61页 |
| Chapter 4 Two kinds of uncertain optimization problem | 第61-75页 |
| 4．1 Logistic Location Model with Interval Variable | 第61-68页 |
| 4．2 Integer Programming Algorithm for Finding Minimal Reduction in Decision Table Based on Rough Set | 第68-75页 |
| Chapter 5 Summary | 第75-78页 |
| 5．1 Main Work | 第75-76页 |
| 5．2 Innovate Viewpoints | 第76页 |
| 5．3 More Relevant Problem | 第76-78页 |
| Appendix Program of algorithm | 第78-86页 |
| Bibliography | 第86-92页 |
| Acknowledgements | 第92-93页 |
| Curriculum Vitae | 第93-95页 |
| 学位论文评阅及答辩情况表 | 第95页 |
