文献类型：会议论文

英文题名：Entropy based sensitive factor defining in data analysis

作者：Zhang, Shiyu[1]; Ma, Liyi[1]; He, Qin[1]

第一作者：张士玉

通讯作者：Zhang, S.

机构：[1] Management School, Beijing Union University, Beijing 100101, China

第一机构：北京联合大学管理学院

会议论文集：Proceedings - 2011 6th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2011

会议日期：August 20, 2011 - August 22, 2011

会议地点：Chongqing, China

语种：英文

外文关键词：Artificial intelligence - Data handling - Data reduction - Entropy - Information analysis - Social aspects - Surveys

摘要：Data analysis reflecting the social politics, economy, public opinion and the management of public sentiment, especially those in such areas based on questionnaire survey, often need to study the main factors affecting a problem. The traditional statistical analysis method is to count the factor which is selected most frequently among those influencing a question, which is dee me d as the most principal factors. But the principal factors are not necessarily sensitive factors, that is, a sensitive factor is not necessarily often highest selected factors. An entropy based method is proposed to determine the sensitive factors, and the analysis of multiple choices in questionnaire survey is selected for the empirical study, the calculation method of sensitive factors and its significance is discussed. ? 2011 IEEE.