Polytomous ordering theory algorithm based on empirical distribution critical value

Hsiang Chuan Liu, Shih Neng Wu, Hsien Chang Tsai, Yih Chang Ou

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

Liu's polytomous ordering theory algorithm can be used for any testing with homogeneous or heterogeneous polytomous response. It is more useful than other well known polytomous ordering theory. However, its threshold limit value is a fixed value, lacking of statistical meaning, In this paper, the authors provide an improved threshold limit value by using the empirical distribution critical value of all the values of the ordering indices between any two items. For comparing the performance of two ordering theory models, a calculus test with polytomous items of Chung Chou Institute of Technology is conducted. The experimental results show that the new method has the better performance. A computer program is developed for the proposed method.

原文English
主出版物標題Proceedings of 2011 International Conference on Machine Learning and Cybernetics, ICMLC 2011
頁面1101-1106
頁數6
DOIs
出版狀態Published - 2011 十一月 7
事件2011 International Conference on Machine Learning and Cybernetics, ICMLC 2011 - Guilin, Guangxi, China
持續時間: 2011 七月 102011 七月 13

出版系列

名字Proceedings - International Conference on Machine Learning and Cybernetics
3
ISSN(列印)2160-133X
ISSN(電子)2160-1348

Other

Other2011 International Conference on Machine Learning and Cybernetics, ICMLC 2011
國家China
城市Guilin, Guangxi
期間11-07-1011-07-13

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Human-Computer Interaction

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