Discussing the Requirements, Environments, Behaviors, and Satisfactions of Divinations Based on SEM and SVM

碩士 === 康寧大學 === 運籌與科技管理研究所 === 100 === Estimating and speculation for the future is one of the important characteristics of human behavior. The fear of the unknown and the temptation for better decisions make people to forecast in ancient date, regardless of race and ndustry. Based on the viewpoint...

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Main Authors: Li-Xiang Jiang, 江禮驤
Other Authors: Ziping Chiang
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/88384529220636406329
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spelling ndltd-TW-100LU0057150032015-10-13T22:01:29Z http://ndltd.ncl.edu.tw/handle/88384529220636406329 Discussing the Requirements, Environments, Behaviors, and Satisfactions of Divinations Based on SEM and SVM 運用SEM與SVM探討占卜需求、環境、行為與滿意度 Li-Xiang Jiang 江禮驤 碩士 康寧大學 運籌與科技管理研究所 100 Estimating and speculation for the future is one of the important characteristics of human behavior. The fear of the unknown and the temptation for better decisions make people to forecast in ancient date, regardless of race and ndustry. Based on the viewpoint of cognitive psychology, whether the result of cognition may be right or wrong, predicting the future of this process may affect human psychological stability. Divination is the survey and prediction for the future status. Thus major purposes of this study are as follows. The first is to collect basic information for divination. The second is to define the framework of requirements, environments, behaviors, and satisfactions of divinations based on Structural Equation Model. The third is to cluster the divinations’ satisfaction and dissatisfaction factors via Support Vector Machine. The results can be illustrated as follows. Divination requirements and behavior is a positive correlation. Users’ growth envi ronment s and behavior of divinat ion i s a negat ive correlation. Divination requirements and Users’ growth environments is not relevant. Based on the t test results, the gender differences is not significant. This result is different from traditional command that female is prefer than male in divination. The result of analysis of variance of education, the difference of satisfactions and behaviors is not significant. This result is also different from traditional command that low educations are preferred than low educations in divination. Based on the data analysis of Support Vector Machine, the accuracy of clustering the divinations’ satisfaction is about 82%. Ziping Chiang C.S. Cheng 蔣子平 鄭宗興 2012 學位論文 ; thesis 80 zh-TW
collection NDLTD
language zh-TW
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description 碩士 === 康寧大學 === 運籌與科技管理研究所 === 100 === Estimating and speculation for the future is one of the important characteristics of human behavior. The fear of the unknown and the temptation for better decisions make people to forecast in ancient date, regardless of race and ndustry. Based on the viewpoint of cognitive psychology, whether the result of cognition may be right or wrong, predicting the future of this process may affect human psychological stability. Divination is the survey and prediction for the future status. Thus major purposes of this study are as follows. The first is to collect basic information for divination. The second is to define the framework of requirements, environments, behaviors, and satisfactions of divinations based on Structural Equation Model. The third is to cluster the divinations’ satisfaction and dissatisfaction factors via Support Vector Machine. The results can be illustrated as follows. Divination requirements and behavior is a positive correlation. Users’ growth envi ronment s and behavior of divinat ion i s a negat ive correlation. Divination requirements and Users’ growth environments is not relevant. Based on the t test results, the gender differences is not significant. This result is different from traditional command that female is prefer than male in divination. The result of analysis of variance of education, the difference of satisfactions and behaviors is not significant. This result is also different from traditional command that low educations are preferred than low educations in divination. Based on the data analysis of Support Vector Machine, the accuracy of clustering the divinations’ satisfaction is about 82%.
author2 Ziping Chiang
author_facet Ziping Chiang
Li-Xiang Jiang
江禮驤
author Li-Xiang Jiang
江禮驤
spellingShingle Li-Xiang Jiang
江禮驤
Discussing the Requirements, Environments, Behaviors, and Satisfactions of Divinations Based on SEM and SVM
author_sort Li-Xiang Jiang
title Discussing the Requirements, Environments, Behaviors, and Satisfactions of Divinations Based on SEM and SVM
title_short Discussing the Requirements, Environments, Behaviors, and Satisfactions of Divinations Based on SEM and SVM
title_full Discussing the Requirements, Environments, Behaviors, and Satisfactions of Divinations Based on SEM and SVM
title_fullStr Discussing the Requirements, Environments, Behaviors, and Satisfactions of Divinations Based on SEM and SVM
title_full_unstemmed Discussing the Requirements, Environments, Behaviors, and Satisfactions of Divinations Based on SEM and SVM
title_sort discussing the requirements, environments, behaviors, and satisfactions of divinations based on sem and svm
publishDate 2012
url http://ndltd.ncl.edu.tw/handle/88384529220636406329
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