浅谈国企年轻党员干部的政治思想教育方法

新时期,国有企业在对年轻干部落实政治思想教育的过程中应当认真、细致地分析当前政治思想教育工作的具体状况,完善现有的顶层设计工作,从多个维度、多个层面来对当前政治思想的教育方式、教育内容进行革新、优化,以此来提高相关教育工作的质量和效率。在此过程中,企业还需要进一步扩大政治思想教育工作的布局,借助党建活动来丰富政治思想教育工作的内容和形式,以此来提高教学效率。本文将对国企年轻干部的政治思想教育方法进行分析探讨。     

高速公路企业思想政治工作方法研究

思想政治工作对高速公路企业的发展具有重要意义。但是目前高速公路企业思想政治工作的方法明显落后于时代。具体表现在实际的思想工作中由于方法与时代的脱节,思想政治工作的效果差,往往流于形式。因此,在新的历史条件下高速公路企业思想政治工作方法应当创新,从工作方法的思维上、工作方法的形式上、工作方法的内容上进行创新。     

企业加强和改进思想政治工作的策略剖析

在当前形势下,思想政治工作的加强与改进,已成为现代国有企业一个新的课题研究。随着社会的进步,要想使企业能够在今后的发展中,适应时代的需求,则需要对传统化的思想政治工作进行改革。所以,对国有企业来说,思想政治工作的加强,可以为今后的发展提供强有力的保障。文章对现代国有企业的思想政治工作进行分析,对加强和改进的方法策略进行分析。     

试论开展思想政治工作要坚持以人为本

在思想政治工作中坚持“以人为本”有一个基本的前提：对“以人为本”的涵义要有深刻的认知,在此基础上,才能对这一观念进行有效和合理地运用。作者在本文中着重剖析了思想政治工作中“以人为本”的基本涵义以及实施方法。     

如何有效开展电力企业思想政治工作的思考

在电力企业各项工作中,思想政治工作是重要的内容。文章对如何有效开展电力企业思想政治工作进行了探讨,重点从如何积极创新企业思想政治工作的思路和方法、做好思想政治“实功”是工作取得实效的关键所在、积极增强思想政治工作的针对性这三个方面进行探讨,旨在稳定电力企业职工队伍,促进企业发展。     

增强思想政治工作 促进企业的和谐发展

在和谐企业构建中,应对思想政治工作的作用进行高度关注,运用切实有效的措施将思想政治工作进行加强和改进,同时,关注思想政治工作方式方法的创新,严格按照思想政治工作的实际情况,使其紧贴职工和生活,有效将思想政治工作的针对性和有效性得到增强,使其作为思想政治工作凝聚人心的关键,在构建和谐企业中发挥着强劲动力。     

电力企业青年思想政治教育创新研究

电力企业青年职工是电力企业发展的生力军,也是我国电力事业的未来和希望。因此,对青年职工进行政治教育是电力企业思治工作的重要组成部分。面对日益复杂的国内外环境,电力企业青年职工的思想状况也发生了很大的变化,这就要求我们在思想政治工作中,积极创新政治工作的理念、方法和手段,来切实对青年职工思想政治教育的成效。本文对此进行了探讨。     

企业工会中创新思想政治工作的简析

作为企业工作的核心,企业职工思想政治工作是现阶段所面临的关键。由于社会主义发展速度的提升,促使企业原有只对思想企业效益所关注的意识形态逐渐转变为思想政治工作的共同发展。在企业群众中工会发挥桥梁及纽带作用,为企业员工的权益进行维护及代言,因此在职工群众中得到深入。本文主要对企业工会思想政治工作的创新方法进行了详细的论述。     

探讨新时期煤矿企业政工队伍思想建设的重要性

近年来,我国煤矿企业快速发展,在煤矿企业发展过程中,做好职工的思想教育工作具有重要意义和积极的影响。对此,我们必须采取有效措施和方法,在政工队伍的建设和政工工作方法的加强上进行各项准备。只有高素质的政工队伍,企业的发展才会更加具有保证,职工的思想教育工作才会取得成效。针对这一问题,本人对当前煤矿企业政工思想建设管理的重要性和现状进行了分析和探讨,并提出了相应的解决对策。     

中国私营企业思想政治教育工作存在的问题及对策

随着社会主义市场经济以及国际环境的不断变化,私营企业面临的形势与遇到问题也都随之改变。改进私营企业的思想政治教育工作方法,成为了当前市场上大、中、小企业思想政治教育面临的重要课题。本文从思想政治教育的方面对私营企业进行研究,论述了当前市场竞争中,私营企业能够实现长期经营和创新式发展,提高政治思想教育是可靠的手段。本文对私营企业思想政治教育工作经过实地调查和系统分析之后,指出强化企业的思想政治教育,掌握正确的发展观与方法论,才能够使中国特色社会主义市场经济繁荣发展。     

Strategy-proof fuzzy aggregation rules

We investigate the structure of fuzzy aggregation rules which, for every permissible profile of fuzzy individual preferences, specify a fuzzy social preference. We show that all fuzzy aggregation rules which are strategy-proof and satisfy a minimal range condition are dictatorial. In other words, there is an individual whose fuzzy preferences determine the entire fuzzy social ranking at every profile in the domain of the aggregation rule. To prove this theorem, we show that all fuzzy aggregation rules which are strategy-proof and satisfy the minimal range condition must also satisfy counterparts of independence of irrelevant alternatives and the Pareto criterion. There has been hardly any treatment of the manipulability problem in the literature on social choice with fuzzy preferences.     

On random fuzzy variables of second order and their application to linear statistical inference with fuzzy data

This paper summarizes some results on random fuzzy variables with existing expectation and variance, called random fuzzy variables of second order. Using the Frechét-principle and – via support functions – the embedding of convex fuzzy sets into a Banach space of functions it especially presents a unified view on expectation and variance of random fuzzy variables. These notions are applied in developing linear statistical inference with fuzzy data. Detailed investigations are presented concerning best linear unbiased estimation in linear regression models with fuzzy observations. Received: November 1999     

模糊模型识别和决策评价的研究现状及应用

模糊模型识别、模糊综合评价和模糊聚类是当前模糊数学应用比较广泛的三个领域。由于客观事物本身的模糊性,加上人们对客观事物的反映过程也产生模糊性,使得经典的识别和评价方法越来越不能满足客观实际的要求,于是模糊识别及评价随之产生并发展起来。文中介绍了模糊模型识别及其模糊综合评价决策的方法和研究现状,结合现实生活中的实际问题对二者的应用加以说明。对在模糊模型识别过程中所用到的模糊聚类分析问题加以研究、概括,并利用SPSS软件来获得聚类结果,以使文中的理论更加充实、完善。     

供水管网模糊优化设计数学模型研究

供水管网优化设计通常具有模糊性，即影响管网优化设计的某些因素难以准确确定。针对这一特点，建立了供水管网模糊优化设计数学模型。通过变换，将模糊线性规划问题转化成一般线性规划问题，用单纯形法求解。根据所建立的管网模糊优化设计模型，可确定模糊环境下供水管网优化设计方案，与普通线性规划问题相比，该方法使设计结果更为经济合理。     

A fuzzy AHP approach based on the concept of possibility extent

The main purpose of this paper is to develop a fuzzy AHP method for tackling the uncertainty and imprecision existing in multi-criteria decision process. The proposed method uses fuzzy pair-wise comparison judgments in place of exact numerical values of the comparison ratios. The geometric mean technique is used to integrate all decision-makers’ opinions and construct the fuzzy positive reciprocal matrices. The algebraic operations of triangular fuzzy numbers are utilized to calculate the fuzzy suitability indices of all alternatives. The extent analysis method is used to compute the degree of possibility of priority among fuzzy suitability indices. Besides, two principles are presented to solve the multi-criteria decision problem in a fuzzy decision environment. Principle I provides a partial preorder, and Principle II gives a total preorder on the set of the possible alternatives. Finally, a numerical example of selecting the company with optimal performance in performing customer relationship management is used to demonstrate the decision process of proposed method.     

直觉梯形模糊几何集成算子及其在群决策中的应用

文章首先定义了直觉梯形模糊数及其运算法则,基于这些运算法则,给出了直觉梯形模糊几何集成算子,即直觉梯形模糊加权几何(IT-WG)算子、直觉梯形模糊有序加权几何(IT-OWG)算子以及直觉梯形模糊混合几何(IT-HG)算子。在此基础上,提出了在属性权重已知的情形下专家评价值以直觉梯形模糊信息给出的多属性群决策方法。最后以产品最优设计方案的选择为实例进行分析,所得结果验证了该方法的有效性。     

Prioritizing disaster-prone areas for large-scale earthquakes' preparedness: Methodology and application

This paper presents a new hybrid fuzzy multi-attribute decision-making approach to prioritize disaster-prone areas which are known as potential demand points (PDPs) regarding their vulnerability under large-scale earthquakes. Significant criteria for prioritizing PDPs are first determined. Then, the fuzzy DEMATEL is applied to specify interrelationship between the criteria, and the weights of criteria are achieved by the fuzzy ANP. Finally, the fuzzy PROMETHEE II is used to rank the PDPs. The proposed methodology is validated using a conventional relief pre-positioning network design model. Numerical results demonstrate the applicability and usefulness of the presented approach in configuring a more responsive relief network in practice.     

具有模糊加工时间的Flexible Job-Shop Scheduling问题的研究

采用梯形模糊数来表征柔性生产系统中的时间参数,并在此基础上对具有模糊加工时间的柔性作业车间最小化制造跨度调度问题进行了描述。然后给出了基于粒子群优化的柔性作业车间调度模型。最后通过实例验证了模型的有效性。     

A fuzzy service quality based approach for performance evaluation of educational units

Educational unites try to make efficient use of resources to achieve higher service qualities. This paper presents a new hybrid fuzzy approach based on service quality for performance evaluation of educational units. The proposed approach includes four stages: firstly, evaluation and gap analysis of students' expectations and perceptions in the service quality of educational units are performed based on fuzzy SERVQUAL questionnaires. In the second stage, the corresponding weights of dimensions and sub-dimensions of SERVQUAL are determined via fuzzy AHP method. In the third stage, the educational units are ranked using fuzzy TOPSIS method with respect to service quality sub-dimensions. Finally, a fuzzy DEA method is applied to determine the efficiency of educational units based on their service quality ratings. The approach is used for performance evaluation of eight higher education institutes in Iran. The proposed approach increased the accuracy of performance evaluation of educational units based on service quality.     

Neyman–Pearson Lemma for Fuzzy Hypotheses Testing with Vague Data

In hypotheses testing, such as other statistical problems, we may confront imprecise concepts. One case is a situation in which both hypotheses and observations are imprecise. This paper tries to develop a new approach for testing fuzzy hypothesis when the available data are fuzzy, too. First, some definitions are provided, such as: fuzzy sample space, fuzzy-valued random sample, and fuzzy-valued random variable. Then, the problem of fuzzy hypothesis testing with vague data is formulated. Finally, we state and prove a generalized Neyman–Pearson Lemma for such problem. The proposed approach is illustrated by some numerical examples.