Houpo Quality Assessment Based on Data Mining and Defuzzification Gamma Distribution

Jian Yang Lin; Hui Zhou; Ming Yan Jiang

doi:10.4028/www.scientific.net/AMM.513-517.1633

Paper Titles

Construction Method of Constraint Matrices Corresponded by an Optimal Solution
p.1617

Design Model Research of Software Testing Case Based on Requirement Characteristics
p.1621

Application of Paralleling Genetic Algorithms in the Reliability Optimization Questions of the Same Category Computer Networks
p.1625

Huangbai Quality Assessment Based on Information Reduction and Defuzzification Weibull Distribution
p.1629

Houpo Quality Assessment Based on Data Mining and Defuzzification Gamma Distribution
p.1633

Functional Orientation and Structure of the Higher Education Management Information System
p.1637

Research on Practical Issues of Informationize of University on Evaluating System Mode
p.1641

Research on the Evaluation Mechanism Construct Strategy of Investing Benefit for Higher Informationized Education
p.1645

The Analytical Study of Large Shopping Website Interface Layout Rationality Based on Eye Tracker
p.1649

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 513-517Houpo Quality Assessment Based on Data Mining and...

Houpo Quality Assessment Based on Data Mining and Defuzzification Gamma Distribution

Abstract:

According to the traditional morphological classification, the Houbo quality of traditional chinese medicine is divided into recommended products and non-recommended products; Discrete the chromatography data of the Houbo which obtained under the condition of standard test and also make the data mining. Obtaining the great peaks of linear independent vectors and obtaining every clustering centre data of Houbo by the fuzzy and Defuzzification methods. Make Houbo criterion and sample data as 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 quality standard revision of Houbo.

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Periodical:

Applied Mechanics and Materials (Volumes 513-517)

Pages:

1633-1636

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.513-517.1633

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Online since:

February 2014

Authors:

Jian Yang Lin*, Hui Zhou, Ming Yan Jiang

Keywords:

Data Mining (DM), Defuzzification, Houpo, Quality Assessment

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* - Corresponding Author

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