Research on the Evaluation of Enterprise Patents Quality Based on the Adaptive Analytic Hierarchy Process

  • Zhang Yaotian ,
  • Du Weichun ,
  • Jia Mingshun ,
  • Zhang Xucheng
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  • 1. Institute of Science and Technology, Beihang University, Beijing 100191;
    2. Library of Beihang University, Beijing 100191;
    3. Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190

Received date: 2016-02-28

  Revised date: 2016-03-24

  Online published: 2016-04-05

Abstract

[Purpose/significance] In order to meet the need of decision makers in enterprises to reduce the impact of external factors during the patent quality evaluation process and to highlight the guiding role of the scarcity index, anin-depth study is presented by this article aboutthe patent quality evaluation methodology based on the analysis of adaptive enterprise AHP. [Method/process] According to the distribution characteristics of enterprise patent intelligence data, the weight of evaluation indexes was adjusted dynamically by reducing the weight of the index of data concentrated distribution and increasing the weight of the data discrete distribution. [Result/conclusion] This study takes patent intelligence data of six high-tech enterprises in Haidian District of Beijing as examples to test the effectiveness of the adaptive analytic hierarchy process in order to highlight the scarcity index's guiding role, weaken external factors and makethe quantitative evaluation more scientific and reasonable,

Cite this article

Zhang Yaotian , Du Weichun , Jia Mingshun , Zhang Xucheng . Research on the Evaluation of Enterprise Patents Quality Based on the Adaptive Analytic Hierarchy Process[J]. Library and Information Service, 2016 , 60(7) : 110 -115 . DOI: 10.13266/j.issn.0252-3116.2016.07.017

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