基于模糊神经网络的版权产业发展水平评价模型

Evaluation Model of Copyright Industry Development Level Based on Fuzzy Neural Network

摘要:

版权是知识产权的重要组成部分，包括版权制度在内的知识产权制度已成为我国促进经济社会全面发展的重要国家战略，版权相关产业也成为助推我国整体经济结构转型升级的新兴产业、绿色产业。本文针对我国版权相关产业发展特点，确立了与版权产业发展水平相关的4类一级评价指标及19项二级评价指标，利用层次分析法及模糊神经网络机器学习技术，构建了对我国分区域版权相关产业发展水平的模糊评价模型，并利用该模型对2017年我国部分区域版权产业发展综合水平进行预测评价。结果表明，该模型具有良好的预测性能和较低的预测误差。最后本文提出了加强我国版权产业发展的相关建议。

Abstract:

Copyright is an important part of intellectual property rights. The intellectual property system including copyright system has become an important national strategy for promoting comprehensive economic and social development in China. Copyright-related emerging and green industries also promote the transformation and upgrading of China's overall economic structure. According to the development characteristics of copyright-related industries in China, this paper establishes 4 kinds of first-level evaluation indicators and 19 second-level evaluation indicators. Furthermore using the analytic hierarchy process and fuzzy neural network machine learning technology, this paper constructs a fuzzy evaluation model to predict and evaluate the comprehensive development level of copyright industry in some regions of China in 2017. Results show that the model has good prediction performance and low prediction error. Finally, this paper puts forward relevant suggestions to strengthen the development of China's copyright industry.