二阶段近似KNN离群挖掘算法与应用

针对高维大数据集，提出了二阶段近似最近邻离群挖掘算法（TPOM），在聚类的基础上，通过加速最近邻查询和改善剪枝效率，提高了循环嵌套KNN算法的离群检测效率。应用分析表明，该算法对于实际数据集有良好的适用性和可扩展性，具有近似线性的时间复杂度。     

睡眠脑电的样本熵分析

在用非线性动力学方法分析EEG信号(睡眠脑电)的过程中,由于近似熵的优点而得到了广泛的应用,但也存在着自身有偏估计、数值和信号长度有关等缺点;在此基础上提出了样品熵的概念,并尝试将样品熵用于睡眠脑电分析,结果表明,它对区分不同的睡眠阶段取得了理想的效果.     

多传感器数据融合系统中联合概率数据互联算法的研究

概述了多传感器数据融合系统中的联合概率数据互联算法，给出了MSJPDA的两种处理结构，分析了其算法的复杂度。并在此基础上，结合B．zhou提出的直接概率计算和近似概率计算的方法，提出了一种基于近似聚的近似概率数据互联算法(MSJPDA)，通过仿真研究以及和最近邻法所做的比较表明，该方法确实能提高在密集情况下的数据融合精度，算法耗时与最近邻法相差不大，精确度接近完全概率互联算法。     

Data-driven identification for approximate analytical solution of first-passage problem

The first-passage problem plays a significant role in engineering performance evaluation and design optimization. To address general stochastic dynamical systems, a data-driven method is proposed to identify approximate analytical solutions for the first-passage problem which explicitly includes parameters of the system, excitation, and those related to the initial and boundary conditions. The method consists of two successive processes. First, the probability density of the first-passage time is assumed to satisfy the modified Weibull distribution and its expansion expression is constructed by using the rule of dimensional consistency. Second, by comparing the expansion with the probability density of the first-passage time estimated from random state data, the coefficients are determined by solving a set of overdetermined linear algebraic equations. Two representative examples, including the Duffing oscillator and a 2-DOF nonlinear dynamical system, are discussed in detail to illustrate the application and efficiency of the data-driven method. The efficacies of the approximate analytical solutions for the external parameters are also verified.     

圆形和U形断面明渠临界水深直接计算公式

本文应用等面积系数法提出了圆形和Ｕ形断面临界水深的一种直接计算公式。该式概念清楚，形式简单同时又能满足工程精度和范围的要求，适合在水力设计和教学中应用。     

损失约束下多产品报童问题的求解方法研究

分析损失约束下多产品报童问题的解空间，并将其分为三个区域，给出了不同解区域的求解思路．参照Abdel-Malek的研究，提出了基于损失边际效用排序的删除法（LMU-D），来解决模型的非负约束问题，并与线性近似规划法相结合解决带积分符号的非线性约束优化问题．最后通过算例验证了方法和模型的有效性．     

模糊XML关键字近似查询方法研究

在精确XML文档上的关键字查询方法的研究大多是基于LCA语义或者其变种语义(SLCA,ELCA等)开展的,将包含所有关键字的最紧致XML子树片段作为查询结果返回。但是这些基于LCA语义产生的查询结果中通常包含了大量的冗余信息,现实世界中存在着大量的不确定和模糊信息,因而如何从模糊XML文档中搜索到高质量的关键字查询结果是一个需要研究的问题。针对模糊XML文档上的关键字近似查询方法进行研究,通过引入最小连接树(MCT)的概念,提出在模糊XML文档上关键字查询的所有GDMCTs问题,并给出解决这一问题的基于栈的算法All fuzzy GDMCTs,该算法可以得到满足用户指定的子树大小阈值和可能性阈值条件的所有GDMCTs结果。实验表明,该算法在模糊XML文档上能够得到较高质量的关键字查询结果。     

Fuzzy methods for case-based recommendation and decision support

The paper proposes two case-based methods for recommending decisions to users on the basis of information stored in a database. In both approaches, fuzzy sets and related (approximate) reasoning techniques are used for modeling user preferences and decision principles in a flexible manner. The first approach, case-based decision making, can principally be seen as a case-based counterpart to classical decision principles well-known from statistical decision theory. The second approach, called case-based elicitation, combines aspects from flexible querying of databases and case-based prediction. Roughly, imagine a user who aims at choosing an optimal alternative among a given set of options. The preferences with respect to these alternatives are formalized in terms of flexible constraints, the expression of which refers to cases stored in a database. As both types of decision support might provide useful tools for recommender systems, we also place the methods in a broader context and discuss the role of fuzzy set theory in some related fields.     

Progressively Censored Reliability Sampling Plans for the Weibull Distribution

This article presents progressively censored variable sampling plans for the Weibull distribution. Approximate maximum likelihood estimators are developed for estimating the parameters of interest. In the construction of sampling plans, asymptotic distribution theory is used to determine the sample size and the acceptance constant. Sampling plans are tabulated for selected progressive censoring patterns and specifications, for demonstration and comparison. A Monte Carlo experiment, conducted to investigate the accuracy of the asymptotic normal approximation, has shown that the procedure is sufficiently accurate for practical purposes. An example, based on data reported by Montanari and Cacciari from progressively censored aging tests on XLPE-insulated cable models, is given for illustration.