Research on the selection of innovation compound using Possibility Construction Space Theory and fuzzy pattern recognition

Songhua Xie; Dehua Li

doi:10.1117/12.834562

30 October 2009 Research on the selection of innovation compound using Possibility Construction Space Theory and fuzzy pattern recognition

Songhua Xie, Dehua Li

Author Affiliations +

Proceedings Volume 7496, MIPPR 2009: Pattern Recognition and Computer Vision; 74961R (2009) https://doi.org/10.1117/12.834562
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

There are a large number of fuzzy concepts and fuzzy phenomena in traditional Chinese medicine, which have led to great difficulties for study of traditional Chinese medicine. In this paper, the mathematical methods are used to quantify fuzzy concepts of drugs and prescription. We put forward the process of innovation formulations and selection method in Chinese medicine based on the Possibility Construction Space Theory (PCST) and fuzzy pattern recognition. Experimental results show that the method of selecting medicines from a number of characteristics of traditional Chinese medicine is consistent with the basic theory of traditional Chinese medicine. The results also reflect the integrated effects of the innovation compound. Through the use of the innovation formulations system, we expect to provide software tools for developing new traditional Chinese medicine and to inspire traditional Chinese medicine researchers to develop novel drugs.

Citation Download Citation

Songhua Xie and Dehua Li "Research on the selection of innovation compound using Possibility Construction Space Theory and fuzzy pattern recognition", Proc. SPIE 7496, MIPPR 2009: Pattern Recognition and Computer Vision, 74961R (30 October 2009); https://doi.org/10.1117/12.834562

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