模糊需求条件下车辆路径问题的模糊模拟

研究具有模糊需求的车辆路径问题,针对具有不确定需求的单车辆单车场的车辆路径问题,建立了基于模糊可信性理论的模糊机会约束规划模型,并提出了求解该问题的一种基于模糊模拟的混合遗传算法。同时,在最小化车辆总行驶距离的目标下,通过实验研究决策者主观偏好对决策目标的影响,并给出最佳主观偏好值。     

模糊c均值聚类算法中参数m的优选

本文利用模糊决策理论提出了一种模糊c均值(FCM)聚类算法中加权指数m的优选方法.文中定义了合适的模糊目标和模糊约束,通过模糊决策确定最佳的m值,以保证FCM算法获得好的聚类效果.实验结果显示了该方法的有效性,并得到实际应用中m的最佳取值范围为[1.5,2.5].     

多云环境的虚拟应用网络部署决策方法研究

多云环境下,用户能够基于虚拟应用技术与基础设施虚拟技术自由组合基础设施资源以部署虚拟应用网络,并且能够快速构建具有一定业务功能的分布式应用系统。鉴于现有多云部署决策方法,以及在部署描述及处理用户多目标需求方面的不足,首先给出了基于开放虚拟格式文档的虚拟应用网络部署描述方法;其次研究定义了基础设施资源组合的常见服务质量指标及多目标优化模型,并使用第二代非支配排序遗传算法(NSGA-II)和多目标粒子群优化(MOPSO)算法求解模型;最后给出了一种基于模糊决策的最终满意解确定方法。多次实验统计表明,两种算法均能在合理时间内实现较好收敛,NSGA-II适合2～3个目标的场景,而MOPSO能够用于更多目标场景,且均有更好表现;模糊决策所得最终解能够最佳匹配用户的目标偏好。     

水利工程施工方案优选方法研究

在分析水利工程的特点和目标要求的基础上,研究了灵敏度分析、多目标规划、模糊多属性决策3种方法在施工方案优选中应用的优点和缺点,提出模糊多属性决策法在施工方案优选中的应用具有一定的适用性和优点,并介绍了模糊多属性决策的计算方法.     

多目标模糊决策算法与应用

该文主要介绍了如何将最小(大)隶属度偏差法应用到多目标模糊决策算法中,这是解决含有模糊不确定因素的复杂决策问题的有效工具,并通过应用实例,验证算法的正确性。     

空情目标的动态模糊决策方法研究

采用模糊数学中的模糊评价算法,并结合模糊决策方法对空情目标进行动态评价与决策,为空情目标的多目标、多因素评价与决策提供了科学的方法。     

基于模糊优化的物流配送路径(MLRP)问题研究

研究采用嵌入模糊决策规则的遗传算法（即模糊优化方法）求解物流配送多目标定位-运输路线安排问题（MLRP）,重点考虑了时间和运输成本两个目标的MLRP的求解方法.该算法分成3个阶段,首先利用遗传算法对初始种群搜索选择优化配送路径;然后应用配送网络调度算法综合评价来确定配送路径中的关键路径和非关键路径;最后根据模糊决策规则计算其各个调度相应的指标,并对已挑选出来的染色体中的某些位基因进行调整,以提高算法的收敛性.计算机仿真结果证明了将此混合算法用于求解中、小规模物流配送问题的有效性.     

水利工程施工方案优选方法研究

在分析水利工程的特点和目标要求的基础上，研究了灵敏度分析、多目标规划、模糊多属性决策3种方法在施工方案优选中应用的优点和缺点，提出模糊多属性决策法在施工方案优选中的应用具有一定的适用性和优点，并介绍了模糊多属性决策的计算方法。     

未知环境下基于行为控制的智能车辆路径规划研究

应用模糊逻辑方法,提出了一种在未知环境下基于行为控制的车辆路径规划算法.利用嵌入式计算机PC104构建了智能车的硬件系统,通过DSP控制多只超声波传感器来获取外部环境.路径规划中设计了避障行为和趋向目标点2个基本行为,采用了行为仲裁和行为融合两种方法进行行为决策.通过仿真对比了两种决策方法的优缺点,同时证明了路径规划算法的有效性.把基于行为仲裁的模糊避障算法应用到试验用车的实际避障中,取得了满意的效果.     

一种模糊森林学习方法及其行人检测应用

针对随机森林学习方法训练数据时存在的过拟合问题,通过改进各决策节点的决策函数设计一种模糊森林学习方法。利用高斯隶属度函数构建决策树上各节点的决策函数,将确定决策路径转换为模糊决策路径。根据样本从根节点到叶节点所经过的所有决策节点的模糊决策值乘积生成模糊路径。结合各模糊路径与相应叶节点预测参数得到预测结果。将模糊森林学习方法应用到行人检测领域,分别对Haar特征和方向梯度直方图特征进行学习与分类。实验结果表明,与经典的Adaboost、支持向量机和随机森林分类器相比,模糊森林方法可有效提高行人检测的识别率。     

An application of fuzzy set theory to the external performance evaluation of distribution centers in logistics

 The purpose of this paper is to propose an algorithm for external performance evaluation in the area of logistics from retailers' viewpoint under fuzzy environment. The fundamental concepts we have adopted include the factor analysis, eigenvector method, fuzzy Delphi method, fuzzy set theory and multi-criteria decision-making method. We use factor analysis to condense twenty external performance sub-criteria into six criteria to construct the hierarchical structure of external performance evaluation of distribution centers. The fuzzy Delphi method is integrated with the eigenvector method to form a set of pooled weights of the extracted criteria. The concepts of triangular fuzzy number and linguistic variables are used to assess the preference ratings of linguistic variable, ‘importance’ and ‘appropriateness’. Through the hierarchy integration, we obtain the final scores of distribution centers' performance. Then we use a revised Chang and Chen's ranking method to rank the final scores of distribution centers for choosing the best distribution center in the area of logistic management.     

井下火灾中逃生人员健康度评价模型

在井下火灾逃生过程中,矿井人员在有害环境影响下的身体状况对其逃生的成功与否具有决定性作用。提出了井下火灾中逃生人员健康度的概念,综合分析了热辐射、有毒气体、烟尘颗粒及缺氧等危害因素对井下人员健康度的影响。基于模糊综合评价方法,建立了上述危害因素对逃生人员健康度的影响评价模型,并建立了人员在逃生过程中的健康度的动态评价方法。利用火灾模拟软件FDS对井下火灾实例进行了简单模拟,模拟结果验证了该评价方法的实用性和有效性。人员健康度能够对复杂灾害环境中的逃生人员状态进行综合评价,为井下灾害中的逃生路径决策提供量化的标准。     

Local consistency adjustment strategy and DEA – driven interval type-2 trapezoidal fuzzy decision-making model and its application for fog-haze factor assessment problem

This paper aims to develop a novel decision-making method with interval type-2 trapezoidal fuzzy preference (IT2TrFPR), which can deal with the complex decision information presented in the form of interval type-2 trapezoidal fuzzy numbers. In this paper, we mainly propose a novel interval type-2 trapezoidal fuzzy decision-making method with local consistency adjustment strategy and data envelopment analysis (DEA). Considering the harm of fog-haze pollution to the environment and human life, we apply the decision-making method to the problem about influence factors of for-haze weather. Firstly, we introduce the definition of IT2TrFPR that sufficiently expresses the uncertainty of original decision-making information. After that, we show the definition of the order consistency and additive consistency for IT2TrFPR. Considering that the original IT2TrFPR given by decision-makers usually does not satisfy the characteristic of consistency, to transform the unacceptable additive consistent IT2TrFPRs into acceptable ones, we design a consistency-improving algorithm that uses the local adjustment approach to preserve the original decision-making information as much as possible and avoids the original information loss. Then, an output-oriented interval type-2 trapezoidal fuzzy DEA model and the concept for quasi interval type-2 trapezoidal fuzzy priority weight are developed to derive the interval type-2 trapezoidal fuzzy priority weight vector (IT2TrFPW) and obtain the final ranking result of alternatives. Finally, the effectiveness of the proposed decision-making method is demonstrated by a numerical example of selecting the most crucial fog-haze influence factor. Meanwhile, we also conduct a comparative analysis by comparing our method with the existing methods to show some merits of the proposed method.

     

A fuzzy cognitive map approach for effect-based operations: An illustrative case

This paper proposes the use of fuzzy cognitive maps (FCMs) as a technique for supporting the decision-making process in effect-based planning. The goal is to determine alternative courses of action to realize the aims of an operation, and choose the best option among them. With adequate consideration of the problem features and the constraints governing the method used, an FCM is developed to model effect-based operations (EBOs). In this study, certain features that do not exist in the classical FCM method were added to our FCM concept value calculation algorithm; these include influence possibility, influence duration, dynamic influence value-changing, and influence permanence. The model developed was applied to an illustrative scenario involving military planning, and we comment on the usefulness of the proposed methodology.     

Intelligent multi-criteria fuzzy group decision-making for situation assessments

Organizational decisions and situation assessment are often made in groups, and decision and assessment processes involve various uncertain factors. To increase efficiently group decision-making, this study presents a new rational–political model as a systematic means of supporting group decision-making in an uncertain environment. The model takes advantage of both rational and political models and can handle inconsistent assessment, incomplete information and inaccurate opinions in deriving the best solution for the group decision under a sequential framework. The model particularly identifies three uncertain factors involved in a group decision-making process: decision makers’ roles, preferences for alternatives, and judgments for assessment-criteria. Based on this model, an intelligent multi-criteria fuzzy group decision-making method is proposed to deal with the three uncertain factors described by linguistic terms. The proposed method uses general fuzzy numbers and aggregates these factors into a group satisfactory decision that is in a most acceptable degree of the group. Inference rules are particularly introduced into the method for checking the consistence of individual preferences. Finally, a real case-study on a business situation assessment is illustrated by the proposed method.     

模糊推理Petri网及其在产品拆卸序列决策中的应用

为了在产品拆卸序列决策时,简化拆卸路径的分析难度,提出一种以模糊推理Petri网为工具的产品拆卸序列决策模型.采用将模糊推理Petri网与矩阵运算相结合的形式化推理算法,对所提出的决策算法进行了论述.实例应用结果表明,此模型在产品拆卸过程规划中具有很强的并行处理能力,可以根据产品在拆卸过程中零部件的最新信息对每一步操作作出适时的智能化决策,从而实现将产品中若干零件作为子装配体进行拆卸的自动聚类识别,减少了产品拆卸的复杂性.     

The ELECTRE multicriteria analysis approach based on Atanassov’s intuitionistic fuzzy sets

In recent decades, intuitionistic fuzzy sets have been applied to many different fields; however, few current studies have used the ELECTRE method to solve multi-criteria decision-making problems with intuitionistic fuzzy information. The purpose of this paper is to develop a new method, the intuitionistic fuzzy ELECTRE method, for solving multi-criteria decision-making problems. Atanassov’s intuitionistic fuzzy set (A-IFS) characteristics are simultaneously concerned with the degree of membership, degree of non-membership, and intuitionistic index, and people can use A-IFS to describe uncertain situations in decision-making problems. We use the proposed method to rank all alternatives and determine the best alternative. The proposed method can also use imperfect or insufficient knowledge of data to deal with decision-making problems. Finally, two practical examples are given that illustrate the procedure of the proposed method.     

无线传感器网络中的模糊信息暴露路径分析

研究无线传感器网络中的模糊信息暴露路径,提出模糊信息暴露最佳(最差)路径算法,根据传感器覆盖半径、融合参数以及覆盖阈值,建立模糊覆盖模型。分析覆盖强度融合因子与融合参数对路径信息暴露强度的影响。仿真结果表明,与概率覆盖模型相比,模糊覆盖模型的最差路径信息暴露强度更小、最佳路径信息暴露强度更大。     

基于修正因子模糊PID控制在升力鳍系统中的应用

应用基于量化因子和决策因子自修正的模糊PID控制算法来改进升力控制减摇鳍系统,并利用子模糊系统自动调整量化因子和决策因子,从而改善基本模糊控制器的稳态和动态性能.模糊控制算法与传统PID控制的有机结合,使升力鳍系统控制精度、鲁棒性以及自适应性得到显著改善.基于该算法的某型船舶仿真结果表明,该复合控制算法使升力鳍系统能够在各种海况下均具有良好的减摇效果.     

An integrated fuzzy-lp approach for a supplier selection problem in supply chain management

In supply chain management process, the firm select best supplier takes the competitive advantage to other companies. Thus, supplier selection is an important issue and with the multiple criteria decision-making approach, the supplier selection problem includes both tangible and intangible factors. This paper is aimed to present an integrated fuzzy and linear programming approach to the problem. Firstly, linguistic values expressed in trapezoidal fuzzy numbers are applied to assess weights and ratings of supplier selection criteria. Then a hierarchy multiple model based on fuzzy set theory is expressed and fuzzy positive and negative ideal solutions are used to find each supplier’s closeness coefficient. Finally, a linear programming model based on the coefficients of suppliers, buyer’s budgeting, suppliers’ quality and capacity constraints is developed and order quantities assigned to each supplier according to the linear programming model. The integrated model is illustrated by an example in a textile firm.