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| Research on the Evaluation of Knowledge Interaction Degree of Interdisciplinary Innovation Teams in Universities |
| Cheng Xue,Zhang Qingpu |
| （School of Management, Harbin Institute of Technology, Harbin 150001, China） |
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Abstract The evaluation of knowledge interaction degree is of great significance to improve the knowledge interaction of interdisciplinary innovation teams in universities. On the basis of defining the knowledge interaction and knowledge interaction degree of interdisciplinary innovation teams in universities, this paper innovatively establishes an evaluation index system of knowledge interaction degree from three aspects: knowledge interaction depth, interaction breadth and interaction time. Further, a combination of triangular fuzzy weights, entropy weights and fuzzy integrals are used to construct an evaluation model of knowledge interaction degree. Finally, a case study of interdisciplinary innovation team in university is selected to verify the operability of the proposed model, which provides a new perspective for the evaluation of knowledge interaction degree.
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Received: 26 March 2019
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| [1]SAFOUTIN M J, THURSTON D L. A communications-based technique for interdisciplinary design[J]. IEEE Transactions on Engineering Management，1993, 40(4): 360-372.[2] BLACKWELL G W. Multidisciplinary team research[M]. Interdisciplinary Analysis and Research, Chubin D E, London:Lomond, 1986.[3] 张伟，张庆普，单伟. 整体网视角下高校科研团队知识共享能力测量研究——以某高校系统工程科研团队为例[J]. 科学学与科学技术管理，2012, 33(10): 170-180.[4] 林向义，罗洪云，杨金保，等. 高校虚拟科研团队知识共享能力评价研究[J]. 情报科学，2014, 32(11): 102-107.[5] 孙德忠，李亚平，喻登科. 高校教师隐性知识共享能力评价模型[J]. 情报科学，2015, 33(4): 46-52.[6] CHEN T, CHEN Y, LIN C, et al. A fuzzy trust evaluation method for knowledge sharing in virtual enterprises[J]. Computers & Industrial Engineering. 2010, 59(4): 853-864.[7] 陈赟，贺玲，欧阳雄赞. 项目团队知识共享水平的多层次模糊评价与应用[J]. 系统工程，2009, 27(4): 121-123.[8] 赵云. 基于耗散结构理论的知识整合研究及效果评价[J]. 机械制造，2011, 49(1): 80-82.[9] VALAMI H B. Cost efficiency with triangular fuzzy number input prices: an application of DEA[J]. Chaos Solutions & Fractals，2009, 42(3): 1631-1637.[10]章穗，张梅，迟国泰. 基于熵权法的科学技术评价模型及其实证研究[J]. 管理学报. 2010, 7(1): 34-42.[11] 谢赤，钟赞. 熵权法在银行经营绩效综合评价中的应用[J]. 中国软科学. 2002(9): 109-111.[12] M G. The application of fuzzy integrals in multicriteria decision making[J]. European Journal of Operational Research. 1996, 89(3): 445-456.[13] 万力勇，赵呈领，廖伟伟，等. 基于QQ群的网络学习共同体社会互动研究[J]. 电化教育研究，2012, 33(9): 54-58.[14] TEASLEY S. Talking about reasoning：how important is the peer in peer collaboration[M]. Discourse Tools and Reasoning：Essays in Situated Cognition, Resnick L, Slj R, Pontecorvo C, et al, New York:Springer-Verlag, 1997.[15] BIGGS J, TANG C. Teaching for quality learning at university[M]. UK: Open University Press, 2007.[16] AZMITIA M, MONTGOMERY R. Friendship, transactive dialogues, and the development of scientific reasoning[J]. Social Development，1993, 2(3): 202-221.[17] 王伟廉. 人才知识、能力结构中广度与深度关系研究[J]. 高等教育研究，2001(4): 68-71.[18] CHEN S M. Fuzzy group decision making for evaluating the rate of aggregative risk in software development[J]. Fuzzy Sets and Systems，2001, 118(1): 75-88.[19] CHEN C T. Applying linguistic decision-making method to deal with service quality evaluation problems[J]. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems，2001, 9S: 103-114. |
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