A novel self-optimizing approach for knowledge acquisition

作者：Pan D^*; Zheng QL; Wen GH; Li XY

来源：IEEE International Conference on Systems, Man and Cybernetics, 2000-10-08 to 2000-10-11.

• knowledge acquisition
• difference comparison table
• self-adaptive optimizing

The attribute reduction and rule generation (the attribute value reduction) are two main processes for knowledge acquisition. A self-optimizing approach based on a difference comparison table for knowledge acquisition aimed at the above processes was proposed. In the attribute reduction process, the conventional logic computation was transferred to a matrix computation along with some added thoughts on the evolution computation used to construct the Self-Adaptive Optimizing Algorithm. In addition, some sub-algorithms and proofs were presented in detail. In the rule generation process, the Value Orderly Reduction Algorithm, which simplified the complexity of rule knowledge, was presented. The approach provided an effective and efficient method for knowledge acquisition, which was supported by the experimentation.

• 出版日期2000
• 单位华南理工大学