模糊评价法在路网改造中的应用研究

采用多级模糊综合评价的理论与方法,建立路网服务水平的二级综合评价模型。通过模糊评价方法利用隶属度的概念定量地处理影响分析和评价的种种模糊因素,客观地描述了指标分级界限的模糊性,充分考虑了事物的中间过渡状态,为路网改造决策提供了更为全面的参考依据。     

高校信息化水平模糊综合评价

论文建立了高校信息化水平评价指标体系,在此基础上构建了相应的二级模糊综合评价模型,并运用该模型对高校信息化水平进行了评价与分析,为高校信息化水平评价探索了一条新的途径。     

计算机软件质量模糊综合评价方法

软件产品质量是软件企业的生命 .本文通过对软件质量特性的分析 ,提出了软件质量的综合评价指标体系 ,并讨论怎样根据该指标体系收集有关数据 ,采用二级模糊综合评判法处理所得数据 ,得出定量评价结果 .     

基于模糊综合评判的评价系统模型研究与应用

提出一种基于模糊综合评判的评价系统模型.设计了基于该模型的评价系统软件结构和工作流程.然后针对其中的关键技术,分别研究了因素集和评判集建立、数据隶属度处理、一级和二级模糊评价等功能的算法逻辑.最后,开发实现了一个企业的车辆运营效益评价系统,系统通过运行该企业五年的车辆数据,得到了两个级别的模糊评价结果.分析表明评价系统的结果非常符合实际效益情况,证明模糊综合评判方法能够用于多层次的综合评价系统,而且效果较好.     

基于改进三角模糊数的网络安全风险评估方法*

采用改进的德尔菲法对网络安全指标进行选取,在评价指标权重确定上,针对传统的AHP（层次分析法）权重确定方法的缺点,提出了改进的三角模糊数评价IFAHP方法。最后,设计并实现了一个网络安全评价原型系统,并采用二级模糊综合评价对网络系统的安全性进行了评估。实验结果表明,该方法能有效地解决AHP方法的主观随意性和一致性验证的问题,提高网络安全评价的客观性和有效性。     

飞机虚拟维修训练系统可信度评估方法研究

针对“人在回路”和“硬件在回路”仿真系统规模大,实体多的特点,提出一种基于二级模糊综合评价法的仿真系统可信度评估方法；运用层次分析法对飞机虚拟维修训练系统不同层级的仿真模型的可信度进行分析,从而建立一种基于二级层次模型的复杂仿真训练系统的可信度指标体系；运用模糊综合评价方法与专家评价法相结合的可信度评估量化方法,实现了对虚拟仿真训练系统的量化计算；在此基础上,利用典型实例对该方法进行了实验验证,证明该方法对可重用复杂仿真系统实现精确地量化评估；并根据实验结果分析了仿真系统的改进方向,对其提高仿真效果和实训能力具有重要的指导作用。     

城市地铁光环境模糊综合评价方法研究

为完善和优化城市地铁光环境质量,给地铁照明设计人员提供设计依据,需要对城市地铁进行光环境评价。通过对影响地铁光环境质量各种因素的分析,建立评价指标体系;利用层次分析法和问卷调查确定各层级评价指标的权重;利用模糊数学的方法建立地铁光环境二级模糊综合评价模型。结合实例验证该综合评价方法的可行性。     

模糊综合评价法在煤矿“六大系统”中的应用

应用模糊数学理论,建立了模糊综合评价方法;从煤矿"六大系统"验收标准的角度出发,运用模糊综合评价法构建了煤矿"六大系统"评价指标体系,并将该评价指标体系分成若干个一级指标、二级指标以及否决项,利用层次分析法确定评价因素的权重,实现了煤矿"六大系统"质量等级的综合评判。实际应用结果验证了该方法的可行性。     

作战指挥能力辅助评估模型

对指挥员的作战指挥能力建立多层评估指标体系,采用二级模糊综合评判模型对其评估。先选取被评判对象的因素集与评语集,再确定各层次权重向量,通过第2层模糊关系矩阵进行一级评判,最后进行二级评判,求出最终综合评判向量。取向量中最大的评判指标所对应的评语集元素作为评判结果,即是对指挥员作战能力的评价。     

计算机病毒危害性的模糊评价模型

计算机病毒的危害性评估是病毒防御中重要的参考指标,由于病毒的危害性复杂,国内外很少有人提出切实可行的评价办法.文章首先对计算机病毒危害性分析,给出一级和二级评价指标.由于这些评价指标带有模糊性,文章提出基于模糊理论的病毒危害性评价模型.依据该模型,只需给出病毒的二级指标的模糊值,就能得合理的危害性等级.最后,文章对熊猫烧香病毒进行模糊评价,评价等级为五级.文章为病毒的危害性评估提供了可行的思路.     

大系统决策理论及其智能化支持系统的研制

研究了模糊数学原理应用于大系统决策的理论和方法。设计了相应的多用途智能化决策支持系统IDSS。     

Strategic logistics outsourcing: An integrated QFD and fuzzy AHP approach

This paper develops an integrated approach, combining quality function deployment (QFD), fuzzy set theory, and analytic hierarchy process (AHP) approach, to evaluate and select the optimal third-party logistics service providers (3PLs). In the approach, multiple evaluating criteria are derived from the requirements of company stakeholders using a series of house of quality (HOQ). The importance of evaluating criteria is prioritized with respect to the degree of achieving the stakeholder requirements using fuzzy AHP. Based on the ranked criteria, alternative 3PLs are evaluated and compared with each other using fuzzy AHP again to make an optimal selection. The effectiveness of proposed approach is demonstrated by applying it to a Hong Kong based enterprise that supplies hard disk components. The proposed integrated approach outperforms the existing approaches because the outsourcing strategy and 3PLs selection are derived from the corporate/business strategy.     

基于SMA的关节驱动器的力学分析及控制

分析了一种用于水下微小型仿生机器人的形状记忆合金(SMA)关节驱动器的力学特性,并通过模糊控制的方法对其进行了实验研究。结果表明:对于物理特性呈非线性、温度滞后、时变和受温度影响很大的SMA驱动器来说,采用模糊控制的方法,能够使驱动器稳定、平滑的工作,尽管产生了轻微的超调现象,但收到了令人较为满意的效果。因此,将模糊控制方法应用于SMA驱动器的控制有一定的理论意义和应用价值。     

On intuitionistic fuzzy rough sets and their topological structures

In this paper, lower and upper approximations of intuitionistic fuzzy sets with respect to an intuitionistic fuzzy approximation space are first defined. Properties of intuitionistic fuzzy approximation operators are examined. Relationships between intuitionistic fuzzy rough set approximations and intuitionistic fuzzy topologies are then discussed. It is proved that the set of all lower approximation sets based on an intuitionistic fuzzy reflexive and transitive approximation space forms an intuitionistic fuzzy topology; and conversely, for an intuitionistic fuzzy rough topological space, there exists an intuitionistic fuzzy reflexive and transitive approximation space such that the topology in the intuitionistic fuzzy rough topological space is just the set of all lower approximation sets in the intuitionistic fuzzy reflexive and transitive approximation space. That is to say, there exists an one-to-one correspondence between the set of all intuitionistic fuzzy reflexive and transitive approximation spaces and the set of all intuitionistic fuzzy rough topological spaces. Finally, intuitionistic fuzzy pseudo-closure operators in the framework of intuitionistic fuzzy rough approximations are investigated.     

Defuzzification of spatial fuzzy sets by feature distance minimization

We present a novel defuzzification method, i.e., a mapping from the set of fuzzy sets to the set of crisp sets, and we suggest its application to image processing. Spatial fuzzy sets are, e.g., useful as information preserving representations of objects in images. Defuzzification of such a spatial fuzzy set can be seen as a crisp segmentation procedure. With the aim to provide preservation of selected quantitative features of the fuzzy set, we define the defuzzification of a fuzzy set to be a crisp set which is as close as possible to the fuzzy set, where the distance measure on the set of fuzzy sets, that we propose for defuzzification, incorporates selected local and global features of the fuzzy sets. The distance measure is based on the Minkowski distance between feature representations of the sets. The distance minimization, performed in the suggested defuzzification method, provides preservation of the selected quantitative features of the fuzzy set. The method utilizes the information contained in the fuzzy representation for defining a mapping from the set of fuzzy sets to the set of crisp sets. If the fuzzy set is a representation of an unknown crisp original set, such that the selected features of the original set are preserved in the fuzzy representation, then the defuzzified set may be seen as an approximate reconstruction of the crisp original. We present four optimization algorithms, exhibiting different properties, for finding the crisp set closest to a given discrete fuzzy set. A number of examples, using both synthetic and real images, illustrate the main properties of the proposed method. An evaluation of both theoretical aspects of the method, and its results, is given.     

参数化犹豫模糊熵及其应用

犹豫模糊熵是刻画犹豫模糊集不确定程度的重要工具。针对现有犹豫模糊熵的一些不足,首先基于犹豫模糊集提出犹豫模糊熵的公理化定义,并构造出参数化犹豫模糊熵;其次,通过一些具体数值算例,将新提出的参数化犹豫模糊熵与现有犹豫模糊熵进行对比分析,结果显示所研究的熵能够更加灵活有效地描述信息的未知程度;然后,探究了参数化犹豫模糊熵在多属性决策问题中的应用,使用该熵来确定属性的权重,并借助逼近于理想解排序法（TOPSIS）以及分数函数,提出了一种解决最优方案选取问题的方法;最后,通过具体实例,验证了参数化犹豫模糊熵与所给决策方法具有一定的实用性和可行性。     

基于直觉模糊聚类的Web资源推荐方法

在Web资源分类中,针对传统基于用户兴趣的方法不能准确反映用户兴趣的变化以及难以区分资源内容的品质和风格等问题,提出一种基于直觉模糊C均值聚类的Web资源聚类推荐方法。该方法首先根据用户兴趣度将Web资源表示为直觉模糊数,然后应用直觉模糊信息集成理论进行资源分类,最后实现向用户推荐相似或相近资源。理论分析和实验表明,该方法比传统的模糊C均值以及协同过滤方法在推荐质量上有很大的提高。     

Fuzzy digital filter type III

A digital filter interacts with a reference model signal into a real process in order to obtain the best corresponding answer, having the minimum filter output error using the mean square criterion. A fuzzy mechanism into the filter structure was added obtaining an intelligent filter, selecting and emitting an answer decision according to the external reference signal changes. This is in order to actualize the best correct new conditions updating a dynamic process. The fuzzy filter makes an interpretation of the input signal level to select the best parameter values from a set of membership values into the knowledge base (KB), updating the filter weights giving the approximation answers according to the reference signal. This fuzzy stage improves the filter answers, minimizing the filter error criterion with a classification of its operation levels. The filtering process requires that all answers of the error criteria are probabilistically bounded, considering the Nyquist and Shannon assumptions, having the fuzzy filter simulations using Matlab© tools into the Kalman structure.     

SVM-based fuzzy rules acquisition system for pulsed GTAW process

This paper proposes a support vector machine-based fuzzy rules acquisition system (SVM-FRAS) for modeling of the gas tungsten arc welding (GTAW) process. The character of SVM in extracting support vector provides a mechanism to extract fuzzy IF–THEN rules from the training data set. We construct the fuzzy inference system using fuzzy basis function. The gradient technique is used to tune the fuzzy rules and the inference system. Theoretical analysis and comparative tests are performed comparing with other fuzzy systems. Modeling is one of the key techniques in the automatic control of the arc welding process, and is still a very difficult problem. Comprehensibility is one of the required characteristics in modeling for the complex GTAW process. We use the proposed SVM-FRAS to obtain the rule-based model of the aluminum alloy pulse GTAW process. Experimental results show the SVM-FRAS model possesses good generalization capability as well as high comprehensibility.