不确定型AHP中的一种新排序方法

首先给出了计算正数字矩阵排序向量的拟最小偏差法和拟最小偏差法具有的几种优良性质，然后给出了计算不确定型AHP判断矩阵排序向量的区间数量最小偏差法，最后给出算例分析。     

黑龙江省大亮子河森林公园8种白腐真菌的培养特性研究

对黑龙江省大亮子河森林公园天然林进行了全面调查,采集鉴定8种大亮子河森林公园针叶林、阔叶林以及针阔混交林中常见的白腐真菌。它们是盘拟层孔菌、蔷红拟层孔菌、环纹革盖菌、全缘孔菌、小刺猴头、黄白卧孔菌、烟色刺耳和变红栓菌。     

彩色树种在园林中的配置应用

论述了彩色树种的概念和类型,提出不同色彩树种的特点及感受,并阐述了常见的应用方式。     

A NEW APPROACH ON IDENTIFICATION OF BOUNDARY PARAMETER FOR A TWODIMENSIONAL DIFFUSION SYSTEM

This paper presents a new approach of the boundary parameter identification of adiffusion system.The system model is governed by a two-dimensional parabolic problem,which involves an unknown boundary parameter.Identifiability of the boundary parameterand the new approach are discussed briefly,which show that the new approach can overcomenot only the ill-posedness of the nonlinear output least square method but also the difficultyof numerical computation of the nonlinear output least square estimate due to the existenceof the local minima of the performance functional,Finally,some numerical examples aregiven.     

最小费用原则下的运输路径选择

论述了运输费用的内涵及其构成。运输费用主要包括劳务费、过路费、燃油费、轮胎费，研究了这几种费用的计算方法。并且以吉林省吉林市为起点，以桦甸市为终点，遵循费用最小的原则，分析了运输路径的最佳选择，同时对路径选择的可能原因作出了定性解释。     

Stability Analysis Using the Minimum Function Analysis Approach

ＳｔａｂｉｌｉｔｙＡｎａｌｙｓｉｓＵｓｉｎｇｔｈｅＭｉｎｉｍｕｍＦｕｎｃｔｉｏｎＡｎａｌｙｓｉｓＡｐｐｒｏａｃｈ＊ＬｉＣｈｕｎｗｅｎ（李春文），ＤｕＪｉｈｏｎｇ（杜继宏），ＨｕＳｈｉｗｅｎ（胡世文），ＭｉａｏＹｕａｎ（苗原）＋Ｄｅｐａｒｔｍｅｎｔｏｆ...     

流态化准数方程及最小流化速度的确定

气体力学参数的确定是流态化过程正常进行的前提,本文运用相似理论,从流化一类现象中固体颗粒和气体介质两方面的运动相似入手,用与前人不同的研究方法,导出了适用于全过程的流态化准数方程式,以此作为流化过程气体力学诸参数研究的统一基础。在此基础上,针对工业加热流化床的特点,通过实验建立了最小流化速度的实用计算式,由于考虑了固体颗粒与气体介质密度比这一影响因素,从而提高了计算精度,为流化床气体力学参数的确定提供设计依据。     

最小载流元件对送电线路通流能力影响的解决方案

分析了最小载流元件对送电线路通流能力的影响,并探讨了最小载流元件对送电线路通流能力影响的解决方案     

A validation study of a variable weighting algorithm for cluster analysis

De Soete (1986, 1988) proposed a variable weighting procedure when Euclidean distance is used as the dissimilarity measure with an ultrametric hierarchical clustering method. The algorithm produces weighted distances which approximate ultrametric distances as closely as possible in a least squares sense. The present simulation study examined the effectiveness of the De Soete procedure for an applications problem for which it was not originally intended. That is, to determine whether or not the algorithm can be used to reduce the influence of variables which are irrelevant to the clustering present in the data. The simulation study examined the ability of the procedure to recover a variety of known underlying cluster structures. The results indicate that the algorithm is effective in identifying extraneous variables which do not contribute information about the true cluster structure. Weights near 0.0 were typically assigned to such extraneous variables. Furthermore, the variable weighting procedure was not adversely effected by the presence of other forms of error in the data. In general, it is recommended that the variable weighting procedure be used for applied analyses when Euclidean distance is employed with ultrametric hierarchical clustering methods.