Analysis of Problems and Policy Recommendations for the Third-party Evaluation in the Present Poverty Alleviation

The introduction of third-party evaluation system and the implementation of third-party evaluation system in poverty alleviation is a major innovation in the targeted poverty alleviation work in China.In order to improve the third-party evaluation mechanism,further improve the efficiency of third-party evaluation,and enhance the effectiveness of targeted poverty alleviation,this paper analyzes and summarizes the main problems existing in the current third-party evaluation practice.In view of the related problems,this paper puts forward the corresponding policy recommendations,which are believed to play a positive role in further promoting the development and improvement of the third-party evaluation of getting rid of poverty.

Research on the Third Party Performance Evaluation in Constructing Modern Public Sports Services

This paper introduces the third party performance evaluation in the construction of demonstration area for modem public sports services in Changzhou through research methods such as literature, expert interview and case study, so as to promote the quality of demonstration area constructed for modem public sports services, truly show the social application value of the construction of demonstration area for modem public sports services, and achieve national fitness and the development of public sports.

The Influence of Third-party Evaluation on the Development of Detergent Products in China

The development and function of the third-party testing platform and the evaluation of detergent products by domestic professional third-party evaluation organizations were summarized. The evaluation methods and indexes of hand washing dish detergent and fabric detergent by different third-party evaluation organizations were also concluded. The influence of third-party evaluation on the development of detergent products in China is presented.

Research on the Model of Household Credit Risk Evaluation of Rural Microfinance

Since rural microfinance is a credit which grants loans without collateral and guarantees to farmers,it is considerably important to evaluate and control the household credit risk.Through establishing the evaluation index system and then using catastrophe progression theory,three common types of catastrophe system and the normalization formula,we get the comprehensive evaluation.Finally,we take the empirical test and the result shows that this method is simpler and more objective which can be used by the credit cooperatives to decide whether to authorize the loans.

The Council Carries out Credit Evaluation Work for Chinese Textile and Apparel Enterprises

On March 15th,in Beijing,the day of World Consumer Right,the China National Textile and Apparel Council (CNTAC) released the announcement

Research and Implementation of the Enterprise Evaluation Based on a Fusion Clustering Model of AHP-FCM

Traditional clustering method is easy to slow convergence speed because of high data dimension and setting random initial clustering center. To improve these problems, a novel method combining subtractive clustering with fuzzy C-means( FCM)clustering will be advanced. In the method, the initial cluster number and cluster center can be obtained using subtractive clustering. On this basis,clustering result will be further optimized with FCM. In addition,the data dimension will be reduced through the analytic hierarchy process( AHP) before clustering calculating.In order to verify the effectiveness of fusion algorithm,an example about enterprise credit evaluation will be carried out. The results show that the fusion clustering algorithm is suitable for classifying high-dimension data,and the algorithm also does well in running up processing speed and improving visibility of result. So the method is suitable to promote the use.

Credit risk evaluation using adaptive Lq penalty SVM with Gauss kernel

In order to improve the performance of support vector machine (SVM) applications in the field of credit risk evaluation, an adaptive Lq SVM model with Gauss kernel (ALqG-SVM) is proposed to evaluate credit risks. The non-adaptive penalty of the object function is extended to (0, 2] to increase classification accuracy. To further improve the generalization performance of the proposed model, the Gauss kernel is introduced, thus the non-linear classification problem can be linearly separated in higher dimensional feature space. Two UCI credit datasets and a real life credit dataset from a US major commercial bank are used to check the efficiency of this model. Compared with other popular methods, satisfactory results are obtained through a novel method in the area of credit risk evaluation. So the new model is an excellent choice.

The Application of Genetic Algorithms and Multidimensional Distinguishing Model in Forecasting and Evaluating Credits for Mobile Clients

To solve the arrearage problem that puzzled most of the mobile corporations, we propose an approach to forecast and evaluate the credits for mobile clients, devising a method that is of the coalescence of genetic algorithm and multidimensional distinguishing model. In the end of this paper, a result of a testing application in Zhuhai Branch, GMCC was provided. The precision of the forecasting and evaluation of the client’s credit is near 90%. This study is very significant to the mobile communication corporation at all levels. The popularization of the techniques and the result would produce great benefits of both society and economy.

A new method of AHP applied to personal credit evaluation

This paper presents a new negative judgment matrix that combines the advantages of the reciprocal judgment matrix and the fuzzy complementary judgment matrix, and then puts forth the properties of this new matrix. In view of these properties, this paper derives a clear sequencing formula for the new negative judgment matrix, which improves the sequencing principle of AHP. Finally, this new method is applied to personal credit evaluation to show its advantages of conciseness and swiftness.

Credit Evaluation Model for College Students Based on Logistic Regression Model

Internet financing in China has been developing rapidly in China.Recently,college students start to be one of emerging target group of internet consumer financing services.However,college students' credit has not been fully taken account yet.This paper aims at contributing to making a step for solving this issue.In this paper,a credit fraud evaluation model is developed using a university' s students ' grade and campus consumption data.A logistic regression model is trained with the students' grade and daily consumption data.The features of the model with stepwise regression methods are selected.And this model achieves that the paper predicts the students' fault rate accurately.

基于改进加权LeaderRank算法的公证人机制跨链的研究

公证人机制是基于信用背书节点的跨链机制。针对公证人背书节点信用评价单一问题,提出将加权LeaderRank算法运用到评价模型当中,通过收集节点历史交易评价信息计算出节点信用权值,参与信任度排序算法,得到安全可信的公证人节点,使得公证人机制更加稳定可信。研究结果表明,改进后的加权LeaderRank算法综合分析了节点历史交易评价信息和交易信任关系,对准确选取公证人节点、维护公证人机制安全可靠有重要意义。

教育评估第三方机构的专业化发展

教育评估第三方机构的专业化主要基于专门化的组织结构和运行方式,并通过专业化的工作分工、技能要求和知识管理来实现利益相关者的诉求。评估标准的专业化、评估方法的专业化、评估工具的专业化、评估人员的专业化和管理机制的专业化是其核心要素。教育评估第三方机构逐步形成了信息服务、沟通协调、评估鉴定和监督的功能定位。我国教育评估第三方机构的专业化发展面临诸多困境:外部环境因素导致机构陷入主体性模糊、独立性不足和中介性不彰的困境;内部自身因素导致机构陷入专业性不足、服务能力薄弱的困境。需通过健全政策、法规等来保障教育评估第三方机构的独立性和中介性,筑牢规制合法性;通过完善行业自律的内外部保障机制来彰显教育评估第三方机构的专业性,落实规范合法性;通过打造专业化的队伍来提升教育评估第三方机构的业务水平和服务能力,增强实用合法性。

第三方物流企业运输外包服务商评价选择研究

【目标】为了降低主观因素和评价方法对运输外包服务商评价结果的影响,提高评价结果的准确性,以中小型第三方物流企业为研究对象,使用总秩差检验方法对服务商进行评价分析。【方法】首先,在分析和梳理国内外既有服务商评价指标的基础上,本研究从全面性、针对性、科学性、可行性4个角度构建了第三方物流企业运输外包服务商评价体系,包含安全管理水平、货损赔偿水平、紧急响应及应急处理能力、信誉水平等10个1级指标和33个2级指标。其次,为了检验评价体系的有效性,以层次分析法(AHP)、逼近理想解排序法(TOPSIS)、模糊综合评价法、模糊逼近理想解排序法(Fuzzy-TOPSIS)这4种评价方法为基础,结合熵权法确定评价指标权重以排除主观因素的影响。然后,建立基于一致性的第三方物流企业运输外包服务商评价模型,采用总秩差检验方法对4种方法的评价结果进行可靠性比较。最后,以某中小型第三方物流企业为研究对象,对第三方物流企业运输外包服务商评价模型进行应用与检验。【结论】安全管理水平、货损赔偿水平、配套服务、紧急响应和应急处理能力、合作素养是影响运输外包服务商评价的主要因素。模糊综合评价法和层次分析法在运输外包服务商的评价问题上具有良好的一致性,评价结果也更加稳定可靠。

基于PROMETHEE法对农户小额贷款的信用评价

文中运用熵权法和PROMETHEE法构建了农户小额贷款的信用评价模型。通过采用客观准确的熵权法计算权重,有效避免了采用德尔菲法的主观性问题。在农户小额贷款客户信息处理中应用PROMETHEE法,确立客户违约分位点,对农户小额贷款客户的违约可能进行预测,并应用秩相关检验法检验了实证分析理论结果与实际结果的一致性。实证分析表明,PROMETHEE法应用于农户小额贷款信用评价是有效的。

公立医院党建与业务融合评价指标体系应用研究

目的:科学评价公立医院党业融合成效,分析医院总体表现与党业融合程度的相关关系,明确党业融合引领公立医院发展作用机制,为推动公立医院高质量发展提供理论和实践依据。方法:利用前期研究构建的党业融合评价指标体系,选取11所北京市属医院作为样本,收集其2021年指标体系相关数据,计算每所医院党业融合加权总得分及排名,并与其2021年北京市医院管理中心市属医院绩效考核成绩排名进行Spearman相关分析,与2019-2021年医院绩效考核成绩变化进行对比,探究党业融合程度与医院绩效表现的关系。结果:11所医院2021年指标总得分排名与其绩效排名Spearman相关系数为0.6,呈高度相关,且结果具有显著性。11所医院2019-2021年排名变化与2021年党业融合程度具有较高一致性。结论:公立医院党业融合程度与医院表现高度相关,做好深度党业融合可为医院高质量发展提供坚强保障。

环境信用监管体系优化与实施路径研究

环境信用监管体系历经探索起步、快速发展、规范优化3个发展阶段。基于信用监管的逻辑理路,建立“主体—客体—手段”的分析框架对环境信用监管体系进行要素式解析。现行环境监管体系是生态环境部门对排污单位、第三方环境服务单位开展的基于环境信用的监管体系,是以环境信用评价及其结果公开为主要内容,实施信用分级分类监管,推动其他相关部门实施联合奖惩的制度和工作体系。目前存在的主要问题为:信用监管主体职责集中,各地环境信用内涵不统一,环境信用信息管理较为薄弱,信用信息公开和共享渠道分散,尚未完成从信用评价到全流程信用监管机制的转变。环境信用监管体系应当顺应政策环境从违法成本低到重罚主义的转变,明确分级管理、协同融入的工作机制,强化制度建设,推动环境信用评价转变,完善环境信用监管全流程政策措施,规范环境信用信息管理,建立全国环境信用信息公开与共享平台,推动环境信用信息市场化应用。

基于Theil系数组合赋权的银行类金融机构信用评价研究

金融机构信用评价是现代金融管理的基础,有助于监管机构依据监管目标对银行类金融机构进行风险高低排序,进而实施差别化监管,有效防范金融风险。构建包含资本充足率、杠杆率、不良贷款率、不良资产率、逾期贷款比例、拨备覆盖率、贷款拨备率、授信集中度等指标的银行类金融机构信用综合评价指标体系。利用Theil系数对主观权重和客观权重组合确定指标最优权重,建立基于组合赋权方法的评价模型,对银行类金融机构信用状况进行评价。

新时代职业教育第三方评价的内涵特征与发展策略

在教育领域推进管办评分离、深化新时代教育评价改革的大背景下,职业教育第三方评价的兴起和发展,成为我国深化职业教育评价改革的重要治理工具和制度安排。以“独立性”和“专业性”两个核心特征为维度,构建职业教育第三方评价模式的二维象限分类框架模型。基于SWOT分析系统梳理内部因素的优劣势和外部环境的机会挑战,为职业教育第三方评价发展提出增长型、扭转型、多样化、防御型四种策略。

教育督导第三方评估机构建设研究

第三方机构评估是高等教育督导评估的重要方式,与内部评估监测工作相互配合,促进高等教育高质量发展。当前,第三方评估机构存在定位不明晰、组织分类不科学、资质不明确、评估标准与条件不清晰等问题,导致其评估结果可信度与公信力不高。伴随着人工智能技术等数字技术发展,教育督导第三方评估机构建设需要明确功能定位、完善规范标准、提升专业能力、加强研究支撑,切实发挥督导评估专业作用,全方位支撑高等教育办学水平提升。

标准化融合机关食堂反食品浪费工作成效评估作用研究

为深入践行习近平总书记关于厉行节约、制止餐饮浪费行为重要指示精神,贯彻落实《中华人民共和国反食品浪费法》,健全机关食堂反食品浪费工作成效评估和通报制度,江西省制定发布地方标准《机关食堂反食品浪费工作成效评估规范》(DB36/T 1787—2023),并以该标准为依据开展机关食堂反食品浪费工作成效抽查评估。本文从机关食堂反食品浪费标准化现状入手,以江西省为例阐述标准化融合机关食堂反食品浪费成效提升的最优工作路径,分析机关食堂反食品浪费工作存在的共性问题和对策,探讨标准化融合机关食堂反食品浪费成效评估的作用机理,为推动全国机关食堂反食品浪费工作成效提升提供可借鉴经验。