基于模糊粗糙集的公共文化服务效能评估方法

Evaluation Method of Public Cultural Service Efficiency Based on Fuzzy Rough Set

公共文化服务效能评估是衡量公共文化机构所提供服务的成效与供给能力的重要依据。实际评估中由于场馆基础建设不统一、评估方法多以主观性评估为主,难以对文化机构服务效能进行客观准确的评估。为解决上述问题,该文提出一种融合模糊粗糙集与多输入神经网络的公共文化服务评估模型。结合陕西地区公共文化机构发展水平,基于国家公共图书馆定级标准构建了效能评估指标体系。通过模糊粗糙集模型对指标集进行约简,在保证信息完备的情况下消减冗余和稀疏指标项。通过CRITIC法计算场馆评估指标的客观权重,将其与专家主观经验赋权同时输入网络模型,最终生成融合主客观数据的公共文化机构评估模型。实验结果表明,模型能较好克服数据集稀疏和指标集冗余的问题,且评估准确性较其他方法有所提升。

The efficiency evaluation of public cultural services is an important basis to measure the effectiveness and supply capacity of services provided by public cultural institutions.In the actual evaluation,it is difficult to evaluate the service efficiency of cultural institutions objectively and accurately because the venue infrastructure is not unified and the evaluation methods are mostly subjective.In order to solve the above problems,we propose a public cultural service evaluation model integrating fuzzy rough set and multi input neural network.Combined with the development level of public cultural institutions in Shaanxi,we construct an efficiency evaluation index system based on the grading standard of national public libraries.The index set is reduced by fuzzy rough set model to reduce redundant and sparse index items under the condition of complete information.The objective weight of venue evaluation index is calculated by critical method,which is input into the network model together with the subjective experience weight of experts,and finally the evaluation model of public cultural institutions integrating subjective and objective data is generated.The experimental results show that the model can better overcome the problems of sparse data sets and redundant index sets,and the evaluation accuracy is improved compared with other methods.