Research for emergency case correspondence degree algorithm based on rough semantic similarity relation

被引：1

作者：

Zhang, Xiankun ^{[1
,2
]}

Wang, Wenjun ^{[1
]}

Liu, Dong ^{[1
,3
]}

Du, Lei ^{[1
,4
]}

Gao, Shan ^{[1
]}

机构：

[1] School of Computer Science and Technology, Tianjin University

[2] School of Computer Science and Information Engineering, Tianjin University of Science and Technology

[3] School of Computer and Information Technology, Henan Normal University

[4] Department of Basic Courses, Academy of Military Transportation, PLA

来源：

Journal of Convergence Information Technology | 2012年 / 7卷 / 09期

关键词：

Correspondence degree algorithm; Emergency case; Rough sets; Semantic similarity relations;

D O I：

10.4156/jcit.vol7.issue9.28

中图分类号：

O144 [集合论]; O157 [组合数学（组合学）];

学科分类号：

070104 ;

摘要：

In order to meet the need of incomplete emergency case reasoning, an emergency case correspondence degree algorithm based on the rough similarity relationship was proposed. Firstly, the characteristics of emergency case was analyzed, and the define of rough similarity relationship was proposed; secondly, on the basic of analysis of the classic concept correspondence degree algorithm, the nearest ancestor node-based concept rough correspondence degree algorithm was proposed; thirdly, an emergency case correspondence degree algorithm based on rough similarity relationship was proposed; finally, an experiment was done to evaluate the algorithm, and the experiment results shown that it can effectively improve the case retrieval results.

引用

页码：230 / 237

页数：7

共 23 条

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