Firm Patent Portfolio Quality Evaluation Based on Combinatorial Weighting Method

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.