文章基本信息

标题：A Grey Relational Analysis Model of Scientific Research Ability on Music Based on AHP and Its Realization
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作者：Guo Xiaoxi ; Ni Yan ; Wangjia 等
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2015
卷号：8
期号：5
页码：211-222
DOI：10.14257/ijsip.2015.8.5.22
出版社：SERSC
摘要：In the process of analyzing scientific research ability on music, many problems present, including that indicators are not comprehensive enough, the model has much subjectivity, the evaluation results are not reliable or the value of quantity of indicators has errors. Thus, this paper proposes a grey relational analysis model of scientific research ability on music based on AHP. It selects out dominant indicators and recessive indicators to evaluate software features and hardware features. A multi-layer evaluation index system for scientific research ability on music is established. AHP is introduced to compute the weight of indicators. After standardization of indicators, a multi-scheme grey relational coefficient model and a grey relational degree model are established according to grey theory to evaluate the level of scientific research ability on music. Proved effective by the case study, this model can realize the evaluation of scientific research ability on music on the computer
关键词：Music research; research ability of scientific; AHP; grey theory; grey ; relational analysis model