【作者】 朱红灿；

【导师】 陈能华；

【作者基本信息】 湘潭大学 ， 行政管理， 2011， 博士

【摘要】 伴随着现代民主制度和信息社会的发展,西方国家为了保护公民的知情权,纷纷推行政府信息公开制度,从法律法规上保障公民的知情权,通过法律规定公开政府信息,保障统治者不肆意妄为。政府信息公开对稳定社会秩序、扼制腐败、发展经济、改变政府机关的工作作风,起到不可估量的作用。我国的政府信息公开制度与实践起步较晚,政府信息公开工作开展得不尽如人意,政府信息公开的内容、范围、时效性等远远不能满足公众对政府信公开的需求。因此,本文在系统总结国内外政府信息公开、公众满意度测评、以及粗糙集相关理论成果的基础上,针对我国国情,研究政府信息公开公众满意度测评的基本理念、理论基础、体系要素及对策建议等,引入粗糙集理论来客观地描述和处理评价指标权重的不确定性,探索我国“以公众为中心”的公众满意度测评体系构建的理论视角和逻辑思路,对推动我国政府信息公开制度的完善和实践具有一定的理论价值和现实意义。首先,论文建立了基于优化粗糙集的政府信息公开公众满意度指数(GIDPSI_IRS)模型。论文根据公众满意度的形成机理阐释政府信息公开公众满意度的理论内涵、影响因素;采用粗糙集条件信息熵权重优化确定方法进行指标筛选,建立政府信息公开公众满意度指数体系;着重分析GIDPSI_IRS模型与经典顾客满意度模型的区别和联系。其次,论文构建了基于优化粗糙集的政府信息公开公众满意度测评方法。提出了政府信息公开公众满意度测评流程,分析了政府信息公开公众满意数据的收集与处理方式,分析了粗糙集理论应用于政府信息公开公众满意度评价模型的优势和可行性,提出并论证了粗糙集条件信息熵权重确定的优化方法,验证了评价模型的有效性。最后,论文以湖南省部分市级政府信息公开现状作为研究对象进行实证研究。描述了样本数据的统计特征,分析了样本政府信息公开工作现状,通过与现有粗糙集方法相比较,验证了本文模型及权重确定方法的有效性,并依据以实证研究结果绘出的政府信息公开公众满意度-重要度象限图,提出了提升政府信息公开公众满意度的对策。更多还原

【Abstract】 With the development of modern democracy system and information society, western countries carry out the government information disclosure system in order to protect citizen’s rights to know the facts of a case, and safeguard the under-table reckless behavior of ruling class through legal regulated government information disclosure. The government information disclosure plays an inestimable role in maintaining the social order stability, restraining the corruption, boosting the economic development, and changing style of work in government agencies. The content, scope, timeliness of the government information disclosure in China have been far from adequate to meet the demands of its citizen, because the practice of information disclosure was not satisfying and the system was initiated quite late in China. Therefore, on the basis of the researches on government information disclosure, satisfaction assessment, and rough set at home and abroad, this dissertation focuses on basic theory, theoretical basis, theoretical system, and suggestion of citizen satisfaction assessment of government information disclosure aiming at rapidly increasing needs of huge citizen’s right to know. Rough set theory is applied to describe and deal with the weight of uncertainty in this research, which explores the theoretical perspective and logical mentality of construction of public satisfaction assessment system, which are helpful in completing the government information disclosure system and its practice in China.Firstly, this dissertation proposes the government information disclosure public satisfaction index model(GIDPSI_IRS)based on rough set. It describes the connotation and factors of the GIDPSI_IRS model according to the formation mechanism of public satisfaction; constructs the index system of the GIDPSI_IRS model based on the improved rough sets conditional information entropy; emphasizes its differences and relationships with other classical models.Secondly, this dissertation builds an evaluation methodology of government information disclosure based on improved rough set. It presents the assessment flow of the method ,analyzes the suitable way to collect and analyze data, the advantages and feasibility of the application of rough set to government information disclosure public satisfaction assessment;testifies its validity.Finally, the dissertation conducts the case study taking some cities in Hunan Province as the research object. It describes statistic character of the data; analyzes the actual state of government information disclosure in Hunan Province; testifies validity of the model and calculation method of attribute weight compared to classic rough set methods; suggests solutions for improving satisfaction degree according to the degree of satisfaction - importance quadrant chart drew from the case study.更多还原