Research on Medicine Industry and Manufacturing with North Schisandra Quality Assessment Based on Knowledge Reduction and Defuzzification Normal-Weibull Distribution

Jian Yang Lin; Hui Zhou; Zhou Mi Kan

doi:10.4028/www.scientific.net/AMR.1014.539

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 1014Research on Medicine Industry and Manufacturing...

Research on Medicine Industry and Manufacturing with North Schisandra Quality Assessment Based on Knowledge Reduction and Defuzzification Normal-Weibull Distribution

Abstract:

According to the traditional morphological classification, the North Schisandra quality of traditional chinese medicine is divided into recommended products and non-recommended products; Discrete the chromatography data of the North Schisandra which obtained under the condition of standard test and also make the knowledge reduction. Obtaining the great peaks of linear independent vectors and obtaining every clustering centre data of North Schisandra by the fuzzy and Defuzzification methods. Make North Schisandra criterion and sample data as Normal-Weibull distribution to calculate similar. This research combines the plant morphology, chemistry, statistics and calculating technology to establish the pattern identification methods of quality and have good attempt to Chinese traditional machine quality methods. The research results provide the basis for medicine industry and manufacturing.

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Periodical:

Advanced Materials Research (Volume 1014)

Pages:

539-542

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1014.539

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Online since:

July 2014

Authors:

Jian Yang Lin*, Hui Zhou, Zhou Mi Kan

Keywords:

Defuzzification, Knowledge Reduction, North Schisandra, Quality Assessment

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* - Corresponding Author

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