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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 6
1673-1678

Research on individual tacit knowledge measurement method based on Bayesian network

Chen Youling
Zhang Yueyuan
Ling Lei
Gao Ran
State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, China
DOI: 10.19734/j.issn.1001-3695.2017.12.0799

Abstract

Tacit knowledge is the source of innovation and competitiveness of enterprises, so the reasonable expression, transformation, sharing and measurement of it will bring intangible economic benefits to enterprises. Therefore, this paper proposed a method for measuring the individual tacit knowledge based on Bayesian network(BN). Construction of tacit knowledge mea-sure model included: set and analysis of specific situations, Bayesian's construction of network topology, network node parameter learning Bayes probability, probability inference, sorting and interpretation of the BN, the validity of the model test. Finally, taking L-company's R&D department as an example, the results show that the validity of the model is 75%~80%, which validates the feasibility and effectiveness of the proposed method.

Foundation Support

国家自然科学基金资助项目(71271224)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.12.0799
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 6
Section: Algorithm Research & Explore
Pages: 1673-1678
Serial Number: 1001-3695(2019)06-016-1673-06

Publish History

[2019-06-05] Printed Article

Cite This Article

陈友玲, 张岳园, 凌磊, 等. 基于贝叶斯网络的个体隐性知识测度方法研究 [J]. 计算机应用研究, 2019, 36 (6): 1673-1678. (Chen Youling, Zhang Yueyuan, Ling Lei, et al. Research on individual tacit knowledge measurement method based on Bayesian network [J]. Application Research of Computers, 2019, 36 (6): 1673-1678. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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