Earticle

초록

영어

For the problem that the use effect of food processing information system is poor due to absence of knowledge acquisition measures and knowledge self-updating function, a knowledge acquisition approach based on rough set is put forward. First, the approach establishes a set of predicted samples for the relationship between food processing parameters and product quality; then uses the discretization of continuous attribute, attribute reduction and rule extraction algorithm of rough set to acquire automatically predicted knowledge from a large number of predicted sample sets, and then saves the predicted knowledge in the knowledge base of expert system; finally, realizes the extraction of knowledge of food processing process based on the inference engine, which greatly enhances the effectiveness and practicality of the acquired knowledge in online aided decision system of the food processing quality and safety.

목차

Abstract
 1. Introduction
 2. Online Aided Decision System of the Food Processing Quality and Safety Based On Knowledge Acquisition of Rough Set
 3. Realization of Knowledge Acquisition Approach Based on Rough Sets
  3.1. Knowledge Acquisition and Evaluation
  3.2. Knowledge Inference Engine
 3. Experimental Verification
 4. Conclusions
 References

키워드

저자

• Liu Peng [ China National Institute of Standardization ]
• Liu Wen [ China National Institute of Standardization ]
• Li Qiang [ China National Institute of Standardization ]
• Yang Li [ China National Institute of Standardization ]
• Duan Min [ China National Institute of Standardization ]
• Dai Yue [ China National Institute of Standardization ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of u- and e- Service, Science and Technology

• 간기

  격월간

• pISSN

  2005-4246

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605