Improved Calculation of Patent Sharing Rate Based on Entropy Weight-Grey Fuzzy Comprehensive Evaluation Model

Yirui Liu

doi:10.47297/taposatWSP2633-456909.20250603

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Improved Calculation of Patent Sharing Rate Based on Entropy Weight-Grey Fuzzy Comprehensive Evaluation Model

Volume 6, Issue 3

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Improved Calculation of Patent Sharing Rate Based on Entropy Weight-Grey Fuzzy Comprehensive Evaluation Model
Improved Calculation of Patent Sharing Rate Based on Entropy Weight-Grey Fuzzy Comprehensive Evaluation Model
School of Management, Zhengzhou University, Henan, 450000, China
Vol. 6, Issue 3, Pages: 53-60(2025)
Published：25 March 2025
DOI：10.47297/taposatWSP2633-456909.20250603
Accepted：

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Liu Yirui.Improved Calculation of Patent Sharing Rate Based on Entropy Weight-Grey Fuzzy Comprehensive Evaluation Model[J].Theory and Practice of Science and Technology,2025,06(03):53-60.
DOI：

Liu Yirui.Improved Calculation of Patent Sharing Rate Based on Entropy Weight-Grey Fuzzy Comprehensive Evaluation Model[J].Theory and Practice of Science and Technology,2025,06(03):53-60. DOI： 10.47297/taposatWSP2633-456909.20250603.

摘要

Abstract

Under the background of optimizing intellectual property valuation systems

this study proposes an Entropy Weight-Grey Fuzzy Comprehensive Evaluation (GFCE) model to address data scarcity and indicator ambiguity in patent revenue-sharing rate calculations. A dual-dimensional index system (technology-market dimensions with 18 sub-indicators) integrates the Entropy Weight Method (EWM) for objective weighting and Grey Possibility Functions (Albino Weight Functions) to quantify fuzzy boundaries. Multi-angle sensitivity tests confirm the model's stability in patent valuation. Empirical analysis of 28 utility model patents from Hebei's AT enterprise demonstrates technical (0.42536) and market (0.57464) factor weights

with significantly improved revenue-sharing rates. Results validate the model's capability to assess patent maturity and market adaptability

offering a scientific framework for innovation resource optimization.

关键词

Keywords

references

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