南京师大学报（自然科学版）2013，Vol.36Issue(1)：142-147,6.
基于专家可信度和灰色关联度方法的科技期刊评价系统
Sci-Tech Periodical Evaluation System Based on Expert Credibility and Grey Correlation Degree Method
摘要
Abstract
The paper proposes the sci-tech periodical dynamic evaluation system based on expert credibility and grey correlation degree method, and builds a database (expert database) including open periodical index importance, expert information (expert credibility) .qualitative and quantitative index information, and the periodical comprehensive evaluation system. According to the on-line index importance questionnaire filled out by experts and expert information database, the weights of the expert evaluation by credibility algorithm are calculated. By combining simplified Delphi method, the paper solves quantitatively the problem of experts' qualitative importance to index, and got the index weight of periodicals. In evaluating the ultimate influence of sci-tech periodicals,we combine grey system theory and correlation degree algorithm to calculate the comprehensive index of different periodicals.关键词
灰色理论/期刊评价/灰色关联度/专家可信度Key words
grey theory,periodical evaluation,grey correlation degree,expert credibility分类
信息技术与安全科学引用本文复制引用
刘志强,曾红卫..基于专家可信度和灰色关联度方法的科技期刊评价系统[J].南京师大学报（自然科学版）,2013,36(1):142-147,6.基金项目
上海大学创新基金(A10-0504-07-402). （A10-0504-07-402）
