A fuzzy collaborative assessment approach for knowledge grid

doi:10.1016/S0167-739X(03)00167-5

	A fuzzy collaborative assessment approach for knowledge grid
	Zhuge, H; Liu, J
	2004
发表期刊	FUTURE GENERATION COMPUTER SYSTEMS
ISSN	0167-739X
卷号	20 期号:1 页码:101-111
摘要	The assessment of Knowledge Grid is important to its design, development and maintenance. The difference between Knowledge Grid and website in structure and content determines that the current website assessment approaches are not suitable for assessing the Knowledge Grid. This paper proposes a fuzzy collaborative assessment approach combining the objective and subjective assessment strategies. The objective assessment strategy integrates the criteria used in website assessment and those related to knowledge organization and management. The subjective assessment strategy assesses the quality of knowledge service through the cooperation between experts and agents. The proposed approach also provides the optimum solution for improving the performance of the Knowledge Grid based on the assessment result and constraints. We demonstrate the proposed approach through a real application. (C) 2003 Elsevier B.V. All rights reserved.
关键词	assessment fuzzy sets knowledge grid knowledge space optimization
DOI	10.1016/S0167-739X(03)00167-5
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Theory & Methods
WOS记录号	WOS:000188388900008
出版者	ELSEVIER SCIENCE BV
引用统计	被引频次：11[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/9907
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Zhuge, H
作者单位	Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Knowledge Grid Res Grp, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Zhuge, H,Liu, J. A fuzzy collaborative assessment approach for knowledge grid[J]. FUTURE GENERATION COMPUTER SYSTEMS,2004,20(1):101-111.
APA	Zhuge, H,&Liu, J.(2004).A fuzzy collaborative assessment approach for knowledge grid.FUTURE GENERATION COMPUTER SYSTEMS,20(1),101-111.
MLA	Zhuge, H,et al."A fuzzy collaborative assessment approach for knowledge grid".FUTURE GENERATION COMPUTER SYSTEMS 20.1(2004):101-111.