A Study of Applying Rough Set Theory to Extract Factors Influencing Children’s Cardiorespiratory Endurance

• Main Authors: Yeong-Shin Hwu, 胡永欣
• Other Authors: Ching-Hsue Cheng
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/16272654517810167850

碩士 === 雲林科技大學 === 資訊管理系碩士班 === 97 === Thus study applies rough set theory to examine the development of fifth and sixth children’s cardiorespiratory endurance i.e. analyzing children’s scores of 800m running from health-related physical fitness test. The empirical data set includes 210 records from management information system for an elementary school in Nantou County, the 24 attributes in the data set include: exercising habits, life styles, eyesight, counseling data, and achievement performance, etc. For extracting important attributes, the paper utilizes one way ANOVA method to select attributes. Then employs LEM2 algorithm to extract the rules of cardiorespiratory endurance The results were further tested by stepwise regression and followed case study. There are some findings are presented as follows: (1) From stepwise regression, the important attributes are in accordance with the extracted attributes by rough set. (2) Forementioned studies, the health-related physical fitness just discusses the individual influence factor, however the study extracted the main influence factors at the same time, and classified the rule that easy to explain.