水环境模糊综合评价模型优化

研究水环境保护,减少污染,水环境质量评价是环境质量评价中的重要组成部分,为区域环境系统的污染控制规划及环境系统工程方案的制定提供依据.模糊综合评价法是目前应用较广的水环境评价方法,根据水环境评价的特点,在模糊综合评价模型基础上,使用指数隶属函数,解决了非相邻等级隶属函数为0时,被忽略了其对评价结果影响的问题;引入信息熵,将熵值系数用以修正采用超标比计算的评价因子权重,避免了权重确定中过于依赖严重超标的评价因子.经实验验证,评价结果更合理.     

数字化车间布局模糊层次评价方法研究

按照模糊层次分析法的思路建立车间布局评价的模糊层次评价模型;根据影响车间生产性能的各个因素进行分析,建立车间市局评价的指标体系;应用层次分析法确定各因素的权重;自上而下的计算各级指标关于评价目标的综合重要度;通过专家打分的方法确定方案的隶属度;根据权重、隶属度,利用模糊层次评价方法,既可对车间的布局做出综合评价.最后以某发动机关键零件牛产车间为研究对象,验证了方法的可行性和有效性.     

基于改进模糊灰色法的继电保护装置状态评价

针对继电保护装置状态评价的不分明性和不确切性,提出采用一种改进的模糊灰色法对继电保护装置进行状态评价。首先建立涵盖历史状况、检修状况和监测状况3个方面的指标体系,并以点灰度描述评价信息的不确切性;然后构造非线性隶属函数来求取隶属度,得到模糊灰色评价矩阵;最后对继电保护装置进行模糊灰色状态评价,并采用加权平均算子对评价结果进行再优化。实例证明该方法在评价继电保护装置状态时能更准确地反映设备的真实运行状况。     

方兴未艾的模糊技术

一、清晰性与模糊性在现实世界中有许多事物，人们可依据一定的标准把它们分为彼此界限分明的类别，我们把事物有明确类属这种特性，称为清晰性，但对另外一些事物，我们却无法找到精确的分类标准，关于某一事物是否属于某一类很难作出明确的断言。“青年人”与“中年人”，“热”与“不热”就是这种事物类。由于这种事物从属于某一类到不属于该类是逐步过渡而非突然改变的，不同类别之间不存在截然分明的界限，因而不同人对同一事物可能作出不同的归类，我们把事物这种类属的不清晰性称为模糊性，把这类事物称为模糊事物。二、模糊集和隶属…     

一种炼钢连铸调度计划的综合模糊评价方法

炼钢连铸生产调度是冶金企业生产管理的核心内容,在分析和研究了冶金企业炼钢连铸调度计划的评价指标、评价因素和表示方法等问题的基础上,提出了调度计划评价的三级模糊综合评价体系。仿真结果表明,该方法可以公平合理地获得评价结果,在实际应用中也切实可行。采用模糊综合评价方法,进行现场实际数据模拟计算,获得指导编制调度计划的满意结果。     

基于区间模糊理论的企业信用综合评价方法

本文将区间模糊综合评价理论应用于企业财务数据研究,提出了分为三类评级的隶属度函数,根据商业银行的规定,构建了企业债券信用评级指标体系。运用区间模糊综合评价模型分别对十三家企业的信用评级进行了合理有效的综合评价,得到了比较令人满意的评价结果,并归纳出企业信用评级分类的特点,为管理者与投资者提供了一定的决策和投资依据。     

基于层次分析模糊综合理论相下的建筑电气节能设计评价研究

为了减少能源资源浪费,促进建筑电气能源消耗下降。以我国北方S市L小区的房屋建筑中电气节能设计作为研究对象;立足于建筑电气设计相关概念,采用层次分析法、模糊综合评价法、等方法,构建建筑电气节能设计相关指标评价体系,建立层次分析法模糊综合评价模型,该模型采用定义评语集设置优、良、一般、差4个等级,评价结果属于“良好”等级。同时通过专家对于该住宅建筑中电气节能设计综合评价进行打分获得V=87.5分,V介于80与90分之间,也属于较好等级,因此最终评价结果表明S市L小区的房屋建筑中电气节能设计属于良好等级,完全达到国家相关建筑电气节能设计要求。     

ERP软件选型模糊综合评价模型的研究

为了解决企业面临的选择ERP软件的问题,全面客观地评价ERP软件,提出了一种通用的ERP软件模糊综合评价模型和方法。建立了ERP软件综合评价指标体系,根据评价者的不同权重,重点阐述了定性指标和定量指标隶属度的确定,建立了模糊评价矩阵。最后以某企业ERP选型为实例进行了说明。     

模糊综合评价在战术训练模拟系统中的运用

在分队战术训练模拟系统中,对参训者的操作质量进行评判是很有必要的.这有利于检验参训者的不足,提升参训者的作战能力,在之后的训练中更有针对性,大大提高了训练频度和训练效果.文中将模糊综合评价方法应用到分队战术训练模拟系统中,评价模型采用改进的指数标度的层次分析法确定各因素的权重,使得判断矩阵的一致性指标得到改善,并根据实际采用三角形式构造隶属函数.最后用一个实例对该方法进行验证,验证了该方法的有效性和实用性.     

基于模糊支持向量机的高校教学质量评价研究

高校如何能够客观准确地进行教学质量评价,一直是一个主要的研究课题。由于教学质量评价是一个多指标、多目标的评价系统,传统的计算方法存在繁琐、客观性差的情况,提出一种改进的模糊支持向量机的评价模型对教学质量进行评价。建立的模糊隶属度函数,在减小了训练集中异常样本点对建立分类超平面的干扰同时,并没有减小对训练集中每类样本中边缘样本点对分类超平面的影响。实验表明,改进模糊支持向量机提高了教学质量评价的准确率,同时模糊支持向量机的泛化能力也得到了提高。     

A performance comparison of container-based technologies for the Cloud

Cloud computing allows to utilize servers in efficient and scalable ways through exploitation of virtualization technology. In the Infrastructure-as-a-Server (IaaS) Cloud model, many virtualized servers (instances) can be created on a single physical machine. There are many such Cloud providers that are now in widespread use offering such capabilities. However, Cloud computing has overheads and can constrain the scalability and flexibility, especially when diverse users with different needs wish to use the Cloud resources. To accommodate such communities, an alternative to Cloud computing and virtualization of whole servers that is gaining widespread adoption is micro-hosting services and container-based solutions. Container-based technologies such as Docker allow hosting of micro-services on Cloud infrastructures. These enable bundling of applications and data in a manner that allows their easy deployment and subsequent utilization. Docker is just one of the many such solutions that have been put forward. The purpose of this paper is to compare and contrast a range of existing container-based technologies for the Cloud and evaluate their pros and cons and overall performances. The OpenStack-based Australia-wide National eResearch Collaboration Tools and Resources (NeCTAR) Research Cloud (www.nectar.org.au) was used for this purpose. We describe the design of the experiments and benchmarks that were chosen and relate these to literature review findings.     

乙烯裂解炉反应管数学模拟新方法

综述了不同类型的乙烯裂解炉反应管数学模型，分析了各类模型的缺点。为此提出了一种进行反应管数学模拟的新方法。即应用CFD方法对反应管内流体流动、传热、传质及裂解反应过程，不经任何简化直接进行数值求解，得到了管内的流场、温度场和浓度场等详细信息。模拟计算得到了反应管长度方向上的温度、速度、压力和组分浓度的变化规律；在反应管径向上存在着明显的速度和温度分布，而组分浓度变化程度不如速度和温度明显；计算结果为提出结焦抑制方法提供了依据。     

An efficient approach for the S‐shaped penalty function

Interval goal programming (IGP) with a marginal penalty function (PF) was first proposed by Charnes and Collomb in 1972, and further improved by Kvanli and other researchers. Recently, Lu and Chen proposed an efficient logarithmic method to formulate IGP with an S‐shaped PF. However, their method requires adding many binary variables when the problem size becomes large, which increases the computational burden in the solution process. This study proposes an efficient approach for the S‐shaped PF. The arbitrary PF frequently appears in the fields of business and industry. However, none of the previous approaches have addressed arbitrary PFs without adding binary variables. The proposed approach can be easily extended to formulate an arbitrary PF in which binary variables are no longer required, regardless of the number of break points. The proposed method can improve the efficiency of IGP for solving large size management and decision problems in considering PFs. In order to demonstrate the correctness, usefulness of the proposed model, illustrative examples are provided.     

基于模糊评价的分组密码随机性评估模型

检测评估是研究密码算法安全性的重要技术手段.随机特性是其中重要而实用的测评内容.针对密码算法的随机性,已有多种不同的检测方法,但是对繁杂的随机性检测结果,尚不存在一个完整实用的量化评估体系和模型.选择分组密码为实例,研究了对密码算法随机性的量化评估.根据分组密码的设计准则,提出一个分组密码随机性的评估指标体系,以模糊多准则决策为基础给出了一个实用的分组密码随机性评估模型.该模型采用模糊数学中的隶属度函数方法,对随机性检测结果进行模糊化处理,能够反映出随机性的连续和渐变特点,有效解决了单纯的阈值方法造成的评估信息丢失问题.该模型的优点是实现了对分组密码随机性的量化评估,为密码算法的综合评估提供基础.同时,给出了对单个指标和属性的通用的评估流程,因此,该模型也可稍加修改和扩展,应用于其他类型密码算法的随机性评估中.     

用层次分析和模糊数学法归纳多组分精馏分离的顺序

归纳多组分精馏分离的次序在化工过程优化中具有重要意义,而目前常用方法过于主观或繁琐,因此建立一种简单、客观、准确的归纳方法非常重要。同时利用层次分析(AHP)和模糊数学法,构建用来归纳多组分精馏分离次序的数学模型,通过模糊数学的方法构造各属性指标的隶属函数,计算各种分离方案在各个指标中的权重,再利用层次分析法判断其优劣,从而确定分离方案,最后用该模型对2个实例进行了分析,方法简明实用。     

磨矿分级过程动态优化控制

建立了基于改进粒级质量平衡模型（PBM）的质量指标预测模型和保证过程最优运行的优化计算模型,提出了基于反馈校正的动态优化控制方案.首先由优化模型计算最优控制律,为消除过程扰动及其他不确定因素影响,引入质量指标反馈调节机制;然后智能控制单元根据人工测试和期望质量指标间的偏差对最优控制律进行反馈修正.现场实验结果表明,该方案能够稳定过程产品质量,实现过程节能降耗.     

A new approach of fuzzy comprehensive evaluation on rough set

This paper is devoted to some studies on approaches of fuzzy comprehensive estimation of an information system. The redundant or insignificant attributes in fuzzy comprehensive evaluation data sets are removed to reduce knowledge expression of the system based on rough set. The significance of condition attributes is used for setting up a weight distribution of fuzzy evaluation so that some undesirable influences of the weights subjectively defined are eliminated. The precision of the comprehensive evaluation of a system reduced is realized by an approach of fuzzy comprehensive estimation on rough set. The feasibility of fuzzy comprehensive estimation proposed is shown by some of examples of planting rubber here.     

An experimental design approach using TOPSIS method for the selection of computer-integrated manufacturing technologies

The selection of Computer-Integrated Manufacturing (CIM) technologies becomes more complex as the decision makers in the manufacturing organization have to assess a wide range of alternatives based on a set of attributes. Although, a lot of Multi-Attribute Decision-Making (MADM) methods are available to deal with selection applications, this paper aims to explore the applicability of an integrated TOPSIS and DoE method to solve different CIM selection problems in real-time industrial applications. Four CIM selection problems, which include selection of (a) an industrial robot, (b) a rapid prototyping process, (c) a CNC machine tool and (d) plant layout design, are considered in this paper. TOPSIS method and Design of Experiment (DoE) are used together to identify critical selection attributes and their interactions of all these cases by fitting a polynomial to the experimental data in a multiple linear regression analysis. This mathematical model development process involves TOPSIS experiments with the model. The regression meta-model greatly reduced the cost, time and amount of the calculation step in application the TOPSIS model. Application results were validated and shown that they provide good approximations to four decision making problem's results in the literature.     

A statistical approach to the generation of a database for evaluating OCR software

In this paper we consider a statistical approach to augment a limited database of groundtruth documents for use in evaluation of optical character recognition software. A modified moving-blocks bootstrap procedure is used to construct surrogate documents for this purpose which prove to serve effectively and, in some regards, indistinguishably from groundtruth. The proposed method is validated through a rigorous statistical procedure. Received: March 30, 2000 / Revised: September 14, 2001     

Effects of long-term use of video-communication technologies on the conversational process

This paper examines the conversational process in video-mediated groups as compared to face-to-face groups. In a longitudinal between-groups design, 22 three-person groups were tested in four one-hour test sessions at two-week intervals. In each session, groups had to select and argue the correct answer out of three alternatives from a total of ten questions. The questions were selected from the archives of an annual Dutch television show called The Science Quiz. Results showed that, compared to face-to-face groups, video-mediated groups took more time for turns, required fewer turns to complete the task, interrupted each other less, and were less satisfied. At the end of the experiment, initial differences between groups on all these measures, except for satisfaction, had disappeared, suggesting an adaptation effect. The results are discussed in terms of implications for the design of video-communication technologies and possibilities for future research.Part of this research was funded by the European Commission, Directorate-General Information Society, project IST-1999-10044 VIRTUE.