Title :
Research on the Selection of Innovation Compound Using Possibility Construction Space Theory and Fuzzy Clustering
Author :
Xie, Songhua ; Li, Dehua ; Nie, Hui
Author_Institution :
Sch. of Sci., Wuhan Univ. of Technol., Wuhan, China
Abstract :
Chinese medicine includes a large number of fuzzy concepts and fuzzy phenomena, which has led to great difficulties for study of traditional Chinese medicine. In this paper, the mathematical methods are used to quantify fuzzy concepts in drugs and prescription. We describe the process of innovation formulations in Chinese medicine based on the possibility construction space theory (PCST) and put forward the method of single drugs optimization selection using fuzzy clustering. Experimental results show that conclusion is consistent with the basic theory of traditional Chinese medicine. Clustering results can fractionize sets in the possibility construction space, which can help to make creative thinking the final convergence of answer to the question and get the useful innovation compound.
Keywords :
drugs; fuzzy set theory; medical information systems; pattern classification; pattern clustering; possibility theory; PCST; creative thinking; fuzzy classification; fuzzy clustering; fuzzy concept quantification; fuzzy phenomena; fuzzy set theory; innovation compound selection; mathematical method; medical prescription; possibility construction space theory; single drug optimization selection; traditional Chinese medicine; Artificial intelligence; Convergence; Databases; Drugs; Mathematics; Pattern recognition; Pharmaceutical technology; Space technology; Technological innovation; Testing; Chinese Traditional Medicine; Fuzzy Clustering; Innovation compound; PCST; Single drug;
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-0-7695-3804-4
DOI :
10.1109/ICICTA.2009.426
