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基于改进关联规则的专利价值评估指标体系构建方法研究

韩盟 陈悦 王玉奇 崔林蔚

科学与管理2025,Vol.45Issue(4):21-27,7.
科学与管理2025,Vol.45Issue(4):21-27,7.DOI:10.3969/j.issn.1003-8256.2025.04.004

基于改进关联规则的专利价值评估指标体系构建方法研究

Construction Method Research of Patent Value Evaluation Index System Based on Improved Association Rules

韩盟 1陈悦 1王玉奇 1崔林蔚2

作者信息

  • 1. 大连理工大学 科学学与科技管理研究所暨WISE实验室,辽宁 大连 116024
  • 2. 辽宁大学 信息资源管理学院,辽宁 沈阳 110136
  • 折叠

摘要

Abstract

Effectively evaluating the value of patents and increasing the supply of high-quality technology is of great practical significance for implementing the construction of a strong intellectual property country.This paper explores the use of improved association rules algorithm to construct the patent value evaluation index system,overcomes the research defects of too complex dimensions and strong subjectivity in the selection of indicators in previous studies,optimizes the construction method of patent value evaluation index system,and enriches the research methods of patent value evaluation.Firstly,this paper constructs the System Index co-occurrence matrix based on the previous patent value evaluation research papers.Then,this paper introduces the document publishing time and cited quantity to weight the itemset,and then calculates the optimal association rule index set.Finally,this paper constructs the patent value evaluation index system according to the optimal association rules and index attributes.This paper uses SOFC technology patents and five machine learning algorithms to empirically test the validity of the construction results,verifies the availability and practicability of the index system,and also confirms the effectiveness of the proposed index system construction method.

关键词

专利价值/评估指标体系/关联规则/机器学习算法

Key words

patent value/evaluation index system/association rules/machine learning algorithm

分类

社会科学

引用本文复制引用

韩盟,陈悦,王玉奇,崔林蔚..基于改进关联规则的专利价值评估指标体系构建方法研究[J].科学与管理,2025,45(4):21-27,7.

基金项目

教育部哲学社会科学研究重大课题攻关项目(22JZD021) (22JZD021)

中央高校基本科研业务费专项资金资助项目(DUT23RW302) (DUT23RW302)

辽宁省科技创新智库研究基地项目(ZX20211063) (ZX20211063)

科学与管理

1003-8256

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