Word-computing algorithm based on data envelopment analysis with the corresponding dose effect-medicinal patterns of Shanghanlun
10.11669/cpj.2013.13.023
- Author:
Qing-Bo MENG
1
Author Information
1. School of Automation
- Publication Type:Journal Article
- Keywords:
Corresponding sign-syndrome;
Data envelopment analysis;
DEA inference model;
Measurement method;
Word-computing algorithm
- From:
Chinese Pharmaceutical Journal
2013;48(13):1131-1136
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE: To construct the data envelopment analysis (DEA) inference model for word-computing. METHODS: Firstly, a syndrome assembly was established based on the Chinese medical patterns contained in Shanghanlun, then the subjective evaluation was set by the linguistic description for the corresponding patterns. Secondly, with the data of decoctions, the evaluation was modified according to the requirement of DEA to construct the inference model. Finally, the word-computing was completed by the inference function of this model. RESULTS: DEA model could describe the diagnostic thinking process of Shanghanlun theory. CONCLUSION: DEA model can upload the information embodied among the words of the corresponding classical doses and symptoms, and it provides a kind of method for modernization of traditional Chinese medicine.
