Research on the Optimization of Library Collection by Game Theory Combination Weighting——Taking Hebei University of Technology Library as an Example

  • Sun Weizhong ,
  • Wang Zhibo ,
  • Gao Yingping ,
  • Li Yahan ,
  • Ning Ning
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  • 1. School of Economics and Management, Hebei University of Technology, Tianjin 300401;
    2. Hebei University of Technology Library, Tianjin 300401

Received date: 2017-11-07

  Revised date: 2018-01-30

  Online published: 2018-05-20

Abstract

[Purpose/significance] Learning from the balanced thinking in game theory, the research on the quantification and objective combination methods of library book procurement funds through the weights determined by different impact angles.[Method/process] Firstly, this paper used the game theory combinatorial weighting method to construct a countermeasure model. Then, we solved the model by the method of internal penalty function, and realized the assembly of weights from different perspectives. Finally, we conducted empirical analysis by taking Hebei University of Technology as an example.[Result/conclusion] Through the example analysis, we verify the feasibility of the method in this paper, avoid the influence of subjective weight determination on the result, and provide a new idea for the optimal allocation of the books procurement funds.

Cite this article

Sun Weizhong , Wang Zhibo , Gao Yingping , Li Yahan , Ning Ning . Research on the Optimization of Library Collection by Game Theory Combination Weighting——Taking Hebei University of Technology Library as an Example[J]. Library and Information Service, 2018 , 62(10) : 40 -46 . DOI: 10.13266/j.issn.0252-3116.2018.10.006

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