A framework for building intelligent information-processing systems based on granular factors space

Reviewing the current Artificial Intelligent (AI) techniques of knowledge representation, knowledge acquisition and inference, in this chapter, we develop the factors space into the granular factors space for building intelligent information-processing systems. In details, we discuss, using the factors space methods and granular factors space methods, how to represent knowledge -- concepts(in extension and intention), facts, and rules, how to acquire refined knowledge from source knowledge automatically, and how to reason with explaining property quickly. To facilitate our studying, a tool for building diagnostic expert systems is provided.