Evaluation method for scientific fund project selection based on two-dimensional semantics information

ZHU Wei-dong, ZHANG Hong-tao, ZHANG Chen, WANG Dong-peng

Systems Engineering - Theory & Practice ›› 2012, Vol. 32 ›› Issue (12) : 2697-2703.

PDF(636 KB)
PDF(636 KB)
Systems Engineering - Theory & Practice ›› 2012, Vol. 32 ›› Issue (12) : 2697-2703. DOI: 10.12011/1000-6788(2012)12-2697

Evaluation method for scientific fund project selection based on two-dimensional semantics information

  • ZHU Wei-dong1, ZHANG Hong-tao1,2, ZHANG Chen1, WANG Dong-peng1
Author information +
History +

Abstract

To overcome the disadvantages of existing evaluation methods for scientific fund project selection, a new evaluation approach based on two-dimensional semantics information was proposed. To handle the valuable linguistic information and the incomplete information in peer reviews adequately, the two-dimensional semantics information of the degree of familiarity and the evaluation grade were transformed into pieces of evidence, where the peer reviews can be expressed by evaluation grades with belief. Then the experts' weights were given by the degree of familiarity and the difference between evaluation grades given by peers. And then, the peer reviews were integrated by the evidence reasoning combination rules, and the evaluations of scientific fund projects were quantified and selected. Finally, an example was given to check the utility of this approach.

Key words

scientific fund / project selection / two-dimensional semantics information / evidential reasoning

Cite this article

Download Citations
ZHU Wei-dong , ZHANG Hong-tao , ZHANG Chen , WANG Dong-peng. Evaluation method for scientific fund project selection based on two-dimensional semantics information. Systems Engineering - Theory & Practice, 2012, 32(12): 2697-2703 https://doi.org/10.12011/1000-6788(2012)12-2697

References

[1] 杨列勋. 研究与开发项目评估及应用[M].北京: 科学出版社, 2002. Yang L X. Evaluation and Application of R&D Projects[M]. Beijing: Science Press, 2002.
[2] 陈晓田. 国家自然科学基金与我国管理科学(1986-2008)[M]. 北京: 科学出版社, 2009. Chen X T. National Natural Science Foundation and Management Science of China (1986-2008)[M]. Beijing: Science Press, 2009.
[3] 肖人毅,王长锐. 科研基金项目立项评估方法的研究与改进[J].系统工程理论与实践, 2004, 24(5): 66-71. Xiao R Y, Wang C R. Research and improvement of the evaluation method for scientific research fund project selection[J]. Systems Engineering — Theory & Practice, 2004, 24(5): 66-71.
[4] 王雄,吴庆田. 基于模糊语言的科研基金项目立项评估研究[J].科技进步与对策, 2007, 24(9): 61-63. Wang X, Wu Q T. Evaluation method for scientific fund project selection based on fuzzy linguistic opinions[J]. Science & Technology Progress and Policy, 2007, 24(9): 61-63.
[5] 周春喜. 基于灰色理论的科研项目立项评审[J]. 科学学与科学技术管理, 2006(4): 39-43. Zhou C X. The multiple gray synthetic evaluation on science research project[J]. Science of Science and Management of S&T, 2006(4): 39-43.
[6] 杨世荣. 模糊综合评判在科研项目评审中的应用[J].系统工程与电子技术, 2001(5): 30-32. Yang S R. The application of fuzzy synthesis assessment in judgment of scientific research subjects[J]. Systems Engineering and Electronics, 2001(5): 30-32.
[7] 杨锋,毕功兵,凌六一. 基于数据包络分析的科研项目评审排序方法[J].科学学与科学技术管理, 2007(12): 18-21. Yang F, Bi G B, Ling L Y. Research project ranking based on DEA models[J]. Science of Science and Management of S&T, 2007(12): 18-21.
[8] 刘克,王成红,何杰,等. 国家自然科学基金面上项目通讯评议结果的公平化处理[J].中国科学基金, 2003(4): 234-237.Liu K, Wang C H, He J, et al. Redressing the balance among reviewer comments on NSFC general projects[J]. Bulletin of National Natural Science Foundation of China, 2003(4): 234-237.
[9] Kostoff R N. Federal research impact assessment: State-of-the-art[J]. Journal of the American Society for Information Science, 1994(6): 428-440.
[10] Hochbaum D S, Levin A. Methodologies and algorithms for group-rankings decision[J]. Management Science, 2006, 52(9): 1394-1408.
[11] 段新生.证据理论与决策、人工智能[M]. 北京: 中国人民大学出版社, 1993: 117-119.Duan X S. The Theory of Evidence and Decision & Artificial Intelligence[M]. Beijing: China Renmin University Press, 1993: 117-119.
[12] 邓勇, 施文康, 朱振福. 一种有效处理冲突证据的组合方法[J]. 红外与毫米波学报, 2004, 3(2): 27-32.Deng Y, Shi W K, Zhu Z F. Efficient combination approach of conflict evidence[J]. Journal of Infrared Millimeter Waves, 2004, 23(1): 27-32.
[13] Yang J B, Xu D L. On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty[J]. IEEE Transactions on Systems, Man and Cybernetics — Part A, 2002, 32(3): 289-304.
[14] 江虎军,冯雪莲,冯锋,等. 科学合理设置评议表提高同行评议的有效性和公正性[J]. 中国基础科学, 2008(6): 46-49.Jiang H J, Feng X L, Feng F, et al. Good design of review form can improve the quality of peer review[J]. China Basic Science, 2008(6): 46-49.
PDF(636 KB)

254

Accesses

0

Citation

Detail

Sections
Recommended

/