文章摘要
王仔涵,陈会征,崔旭.基于模糊Borda法的我国区域非遗文化话语权组合评价研究[J].数字图书馆论坛,2024,20(3):81~90
基于模糊Borda法的我国区域非遗文化话语权组合评价研究
Comprehensive Evaluation of China’s Regional Intangible Cultural Heritage Discourse Power Based on Fuzzy Borda Method
投稿时间:2023-12-11  
DOI:10.3772/j.issn.1673-2286.2024.03.009
中文关键词: 非物质文化遗产;话语权;模糊Borda法;组合评价;中国;区域
英文关键词: Intangible Cultural Heritage; Discourse Power; Fuzzy Borda Method; Combination Evaluation; China; Region
基金项目:本研究得到2022年陕西省社会科学基金项目“面向文化传播的非物质文化遗产传承人数字资源本体构建研究”(编号:2022N004)资助。
作者单位
王仔涵 西北大学公共管理学院 
陈会征 山东师范大学商学院 
崔旭 西北大学公共管理学院 
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中文摘要:
      话语权是一个国家/地区软实力的重要体现,非遗文化话语权可体现一个国家/地区在非遗领域的地位和影响力。为衡量我国区域非遗文化话语权大小,结合学者提出的指标与实践调查,总结出由3个一级指标、8项准则、15个二级指标构成的非遗文化话语权评价指标体系,采用因子分析法、主成分分析法、熵权法、TOPSIS法、变异系数法和灰色关联分析法6种单一评价方法与模糊Borda组合评价法构建评价模型,并以我国31个省域的非遗文化话语权为评价对象进行实证研究。研究结果表明:四川、浙江、北京、山东、江苏、云南等地非遗文化话语权排名靠前;宁夏、海南、吉林、辽宁、黑龙江、西藏等地排名靠后。针对分析结果提出相应建议。
英文摘要:
      Discourse power is an important embodiment of a country/region’s soft power, and the discourse power of intangible cultural heritage reflects a country/region’s status and influence in the field of intangible cultural heritage. In order to measure the extent of the discourse power of intangible cultural heritage in our national regions, we combine the indicators proposed by scholars with the practice survey to summarize the evaluation index system of the discourse power of intangible cultural heritage, which is composed of 3 first-level indicators, 8 guidelines, and 15 second-level indicators. Then six single evaluation methods, namely factor analysis, principal component analysis, entropy method, TOPSIS method, coefficient of variation method, and grey relation analysis, and fuzzy Borda method are used to construct the evaluation model. An empirical study is conducted to evaluate the discourse power of intangible cultural heritage in 31 provincial regions in China. The results of the study show that Sichuan, Zhejiang, Beijing, Shandong, Jiangsu, Yunnan, and other regions rank high in the discourse power of intangible cultural heritage; Ningxia, Hainan, Jilin, Liaoning, Heilongjiang, and Xizang rank low. Finally, the results are analyzed and corresponding suggestions are put forward.
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