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correlation Analysis for the Attack of Respiratory Diseases and Meteorological Factors

Chinese Journal of Integrative Medicine 2011年第8期17卷 600-606页

作者：张德山贺娟高思华胡保昆马师雷 Beijing Professional Weather Service Observatory Department of Basic Medicine Beijing University of Chinese Medicine

Objective：To investigate the relationship between respiratory diseases onset and the meteorological factors in the same period and in a specific ***：By using the data of daily incidence of respiratory diseases obtained from Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine from January 1, 1998 to December 31,2007,and the data of 16 items of meteorological factors（such as the average,maximum, and minimum temperatures,etc.,including meteorological factors derived） obtained from the Beijing Municipal Meteorological Observatory,mathematical statistical methods were applied to achieve the non-linear correlation analysis,or the correlation test,between the incidence of respiratory diseases and the time-related meteorological ***：The simple correlation coefficients of the relationship between the incidence of respiratory diseases and 9 meteorological elements,including the average values of temperature,maximum temperature,minimum temperature,degree of comfort,precipitation,vapor pressure,low cloud cover,change of vapor pressure,and change of wind speed,were all greater than 0.8286,in which one of the relationship between the incidence of respiratory diseases and the maximum temperature is as high as *** tests showed RRα=0.05 and FFα=***：The incidence of respiratory diseases was closely correlated to meteorological factors,such as air temperature,vapor pressure,precipitation,wind speed,*** a certain extent,this conclusion confirmed the scientificity and objectivity of the theory of five evolutive phases and six climatic factors（Wu Yun Liu Qi,五运六气） in Huang Di Nei Jing（黄帝内经,The Yellow Emperor＇s Canon of Internal Medicine）.

关键词： respiratory diseases meteorological factors degree of correlation Chinese medicine five evolutive phases and six climatic factors

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A reduction algorithm of fuzzy time series model based on a kind of new fuzzy sets

A reduction algorithm of fuzzy time series model based on a ...

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第26届中国控制与决策会议

作者： CHEN Gang LI Jinling WANG Pengfei Department of Mathematics Dalian Maritime University

ISBN: (纸本)9781479937066

Facing the shortcomings of fuzzy set in fuzzy time series, a new data fuzzification method is presented by a kind of new fuzzy sets based on distance sense. Then, the reduction algorithm of fuzzy rules is given by the characteristic expansion method. Finally, through the forecasting of Alabama university enrollments, the results show that the proposed method is effective.

关键词： Fuzzy time series Fuzzy sets Characteristic coefficient degree of correlation Rules reduction

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