A fuzzy collaborative assessment approach for knowledge grid

被引:11
|
作者
Zhuge, H [1 ]
Liu, J [1 ]
机构
[1] Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Knowledge Grid Res Grp, Beijing 100080, Peoples R China
基金
中国国家自然科学基金;
关键词
assessment; fuzzy sets; knowledge grid; knowledge space; optimization;
D O I
10.1016/S0167-739X(03)00167-5
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
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.
引用
收藏
页码:101 / 111
页数:11
相关论文
共 50 条
  • [1] Dynamic Risk Assessment and Certification in the Power Grid: A Collaborative Approach
    Liatifis, Athanasios
    Ruzafa Alcazar, Pedro
    Grammatikis, Panagiotis Radoglou
    Papamartzivanos, Dimitris
    Menesidou, Sofianna
    Krousarlis, Thomas
    Martin Alberto, Molinuevo
    Angulo, Inaki
    Sarigiannidis, Antonios
    Lagkas, Thomas
    Argyriou, Vasileios
    Skarmeta, Antonio
    Sarigiannidis, Panagiotis
    [J]. PROCEEDINGS OF THE 2022 IEEE 8TH INTERNATIONAL CONFERENCE ON NETWORK SOFTWARIZATION (NETSOFT 2022): NETWORK SOFTWARIZATION COMING OF AGE: NEW CHALLENGES AND OPPORTUNITIES, 2022, : 462 - 467
  • [2] Exploring knowledge grid for knowledge supply in the collaborative design
    Song, Haitao
    Wang, Zikai
    Song, Yunli
    Zhang, Ying
    Zhen, Lu
    [J]. PROCEEDINGS OF 2008 IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL, VOLS 1 AND 2, 2008, : 1663 - 1667
  • [3] Interpretability assessment of fuzzy knowledge bases: A cointension based approach
    Mencar, C.
    Castiello, C.
    Cannone, R.
    Fanelli, A. M.
    [J]. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2011, 52 (04) : 501 - 518
  • [4] Collaborative and knowledge-based fuzzy clustering
    Pedrycz, Witold
    [J]. INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2007, 3 (01): : 1 - 12
  • [5] Cognitive Social Knowledge Grid Infrastructure for Collaborative Environments
    Saberi, Sahar
    Fesharaki, Mehdi N.
    Badie, Kambiz
    [J]. LIFE SCIENCE JOURNAL-ACTA ZHENGZHOU UNIVERSITY OVERSEAS EDITION, 2012, 9 (04): : 3099 - 3108
  • [6] Combining Students' Grades and Achievements on the National Assessment of Knowledge: A Fuzzy Logic Approach
    Doz, Daniel
    Felda, Darjo
    Cotic, Mara
    [J]. AXIOMS, 2022, 11 (08)
  • [7] A New Approach for Collaborative Knowledge Management: A Unified Conceptual Model for Collaborative Knowledge Management
    Kim, Dan J.
    Yang, T. Andrew
    [J]. AMCIS 2010 PROCEEDINGS, 2010,
  • [8] Collaborative assessment in education: an application of a fuzzy GSS
    Kwok, RCW
    Ma, J
    Vogel, D
    Zhou, DN
    [J]. INFORMATION & MANAGEMENT, 2001, 39 (03) : 243 - 253
  • [9] An integrated approach for knowledge extraction and analysis in collaborative knowledge construction
    Zhang, Ning
    Ouyang, Fan
    [J]. INTERNATIONAL JOURNAL OF EDUCATIONAL TECHNOLOGY IN HIGHER EDUCATION, 2023, 20 (01)
  • [10] An integrated approach for knowledge extraction and analysis in collaborative knowledge construction
    Ning Zhang
    Fan Ouyang
    [J]. International Journal of Educational Technology in Higher Education, 20