An Efficient Partitioning for Object-Relational Data Warehouses
Many partitioning techniques have been proposed to accelerate data access in the data warehouse. However, these techniques cannot be directly applied to object- relational data model. This work proposes a partitioning-based approach for efficiently accessing data in an object-relational data warehouse.
This paper systematically analyzes main factors affecting the decision of bracing system for deep foundation pits; establishes an index system of evaluation scheme and a multiobjective fuzzy optimum model of bracing schemes through fuzzy mathematical theory; and puts forward rational methods of the definiteness of objective weight and quantitating qualitative objects. A case study shows that the decision method is effective and easy to operate.