The evaluation model of college students' news sensitivity based on the unascertained measure

被引：0

作者：

Qi Yan-ming ^{[1
]}

Wang Clang-long ^{[2
]}

机构：

[1] Hebei Univ Engn, Sch Arts, Handan, Hebei Province, Peoples R China

[2] Hebei Univ Engn Handan, Sch Civil Engn, Baoding, Peoples R China

来源：

PROCEEDINGS OF THE 2009 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND NATURAL COMPUTING, VOL II | 2009年

关键词：

the unascertained measure; college student; the news sensitivity; evaluate;

D O I：

10.1109/CINC.2009.20

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In order to bring up college students' news sensitivity at present,it has become increasingly important to establish evaluation index system of college students' news sensitivity. A new method of quantitative and qualitative combining has been put forward to evaluate college students' news sensitivity,establish the evaluation model based on the unascertained measure and index categorization weight with information entropy. The example shows that it has high theoretical and practical value with the method of unascertained measure to evaluate college students' news sensitivity.

引用

页码：502 / +

页数：2

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