基于主客观赋权的企业专利组合质量评价

Firm Patent Portfolio Quality Evaluation Based on Combinatorial Weighting Method

摘要:

为解决质量视角下企业专利组合的评价问题，结合三角模糊数、多目标优化法和两阶段优化法提出了一个企业专利组合质量评价模型。从规模性、创新性、稳定性、经济性和战略性5个方面选取企业专利组合质量的评价指标，采用三角模糊数和多目标优化方法计算指标的主观权重，采用两阶段优化方法计算指标的客观权重，通过主客观赋权确定指标的综合权重。随后根据指标评价值和指标权重对专利组合质量进行排序，并将提出的模型应用于动力电池企业的专利组合评估。研究结果表明：该方法综合了专家决策信息和客观数据，可对企业专利组合进行有效评估。

Abstract:

A model constructed by combining the triangular fuzzy number， multi-objective optimization method， and two-stage optimization method is proposed to evaluate firm patent portfolio quality. First， the evaluation index of firm patent portfolio quality is determined from five aspects： scale， innovation， stability， economy， and strategy. Second， the triangle fuzzy number and multi-objective optimization method are used to determine the subjective weight of the index， and two-stage optimization method is used to determine the index weight objectively. Then the comprehensive weight of the evaluation index is determined. Moreover， the patent portfolio quality of firms is ranked according to the index value and index weight. The proposed model is applied to the patent portfolio evaluation of power battery firms. The results show that the model integrates expert decision-making information and objective data， and the firm’s patent portfolio can be effectively evaluated.