基于模糊支持向量机的数据域描述

受模糊支持向量机的启发，本文系统论述了带有模糊隶属度的数据域描述方法，称为模糊支持向量域描述。适用于数据集中的数据不完全肯定来自于假设总体的情形，不同的数据对数据集的域描述可以有不同的贡献。     

Causal fault detection and isolation based on a set-membership approach

This paper presents a diagnostic methodology relying on a set-membership approach for fault detection and on a causal model for fault isolation. Set-membership methods are a promising approach to fault detection because they take into account a priori knowledge of model uncertainties and measurement errors. Every uncertain model parameter and/or measurement is represented by a bounded variable. In this paper, detection consists of verifying the membership of measurements to an interval. First order discrete time models are used and their output is explicitly computed with interval arithmetic. Fault isolation relies on a causal analysis and the exoneration principle, which allows focusing the consistency tests on simple local models. The isolation strategy consists of two steps: performing minimal tests found with the causal graph and determining on line additional relevant tests that reduce the final diagnosis. An application for a nuclear process is used in order to illustrate the method's efficiency.     

有约束多目标模糊指派问题的改进算法

对有约束多目标模糊指派问题的算法进行了改进，提出借助于运输问题的表上作业法的思想，用最大差额法和列差额法来求解工程指派问题。对工程数小于、等于或大于位置数的情形均可求解，且不用考虑最大化与最小化之间的转化问题，算法简便、实用；并探讨了如何利用非线性隶属函数将指标矩阵转化为模糊关系综合评价矩阵．使多目标工程选址问题的求解更趋合理。     

一种用于非最小相位系统的模糊控制器设计

针对非最小相位系统具有右半平面零点,使系统阶跃响应存在负调,以及常规方法控制不理想等问题,在分析常规模糊控制器的基础上,提出了一种新型的模糊积分控制器的设计方法,改善了常规模糊控制器的动态和稳态性能。对输入变量设计了一种简单可调整宽度的三角形隶属度函数;并针对非最小相位系统,提出了一般情况下控制规则基的设计原则。计算机仿真结果证实了这种设计方法的有效性。     

Active leave behavior of members in a fault-tolerant group

With the fast development of network applications, there are more asynchronous distributed systems and more requirements for fault tolerance. Asynchrony means there is no upper bound for either message transfer or operation execution. Active replication is an effective means to enhance fault tolerant capability in distributed systems. A key component in a system is replicated and all the replicas make up of a fault-tolerant group. Members in such a group execute all client requests and then re…     

A set‐membership approach to integrated trade‐off design of robust fault detection system

In order to improve fault detection (FD) performance, integrated design of residual generation and evaluation is investigated in this paper for trade‐offs between fault detection rate and false alarm rate (FAR). A set‐membership approach is proposed in residual evaluation by adopting a threshold ellipsoid, which enables more design freedom than a conventional threshold value. With the set‐based definitions of fault detection rate and FAR, the integrated design problem is formulated by maximizing the FD performance under a predefined FAR. The joint optimal selection of a residual generator and a threshold ellipsoid is equivalently transformed into a simplified optimization problem of determining an optimal threshold ellipsoid for any given residual generator. A suboptimal solution for the set‐membership‐based integrated FD system design is obtained based on approximated computation of the FD performance. Monte Carlo simulations show the performance improvement of the proposed method compared with an existing integrated design method. Copyright © 2016 John Wiley & Sons, Ltd.     

An efficient algorithm for community mining with overlap in social networks

Detecting communities in social networks represents a significant task in understanding the structures and functions of networks. Several methods are developed to detect disjoint partitions. However, in real graphs vertices are often shared between communities, hence the notion of overlap. The study of this case has attracted, recently, an increasing attention and many algorithms have been designed to solve it. In this paper, we propose an overlapping communities detecting algorithm called DOCNet (Detecting overlapping communities in Networks). The main strategy of this algorithm is to find an initial core and add suitable nodes to expand it until a stopping criterion is met. Experimental results on real-world social networks and computer-generated artificial graphs demonstrate that DOCNet is efficient and highly reliable for detecting overlapping groups, compared with four newly known proposals.     

基于SERVQUAL模型的水上娱乐设施设计研究

目的 由于水上娱乐设施具有普适性,而各景区气候、地形、水系和发展重点不同,本文以木兰天池水上娱乐设施为例,旨在为其提出设计优化策略并对其进行设计研究。方法 首先,提取自然环境要素因子和娱乐设施要素因子,得出综合要素因子分类,即人员服务、设施服务、设施安全;其次,以SERVQUAL模型的五个维度为基准,构建出服务评价量表并采用选项隶属度计算进行筛选,得出最终服务评价量表;随后运用调查问卷、信度效度分析、因子分析;最后,计算出各指标感知与期望的差值。结果 舒适度、分流分区、环境安全、材料材质安全、结构安全、维护维修是木兰天池景区水上娱乐设施的主要设计要素,以此进行木兰天池景区水上娱乐设施设计研究。结论 此方法为设计景区同类水上娱乐设施提供了理论依据。     

基于广义模糊集合的红外微弱目标图像自适应增强算法

在广义模糊集合及局部自适应增强算法研究的基础上,提出一种针对红外微弱目标图像的实时模糊域自适应增强算法,利用反正切函数作为映射,将空间域的灰度图像变换为对应的广义隶属函数.实验结果证明,该算法不仅能有效地提高图像灰度动态范围,使各区域之间层次更加清楚,而且同时能自适应地增强图像局部区域不同灰度层次的边缘和细节,使边缘和细节明显地突出.     

一种新型模糊-粗神经网络及其在元音识别中的应用

为度量模糊粗不确定性信息,引入了模糊粗隶属函数．基于模糊粗糙集理论构建了一种新型的模糊,粗神经网络（FRNN）,该网络融合了模糊信息和粗糙信息的处理能力．对5个元音字母的语音识别进行测试,结果显示FRNN网络不仅训练速度快,而且分类性能优于BP网络、RBF网络和贝叶斯分类器．