基于集对分析的混合型多属性决策方法的研究

针对属性权重信息不完全且属性值为实数、区间数和模糊语言值相结合的混合型多属性决策问题,提出了一种基于集对分析的多属性决策方法.该方法所需计算量较少,方法简单,易于计算.最后通过实例验证了该方法的有效性和实用性.     

A new approach to detecting weak signal in strong noise based on chaos system control

In this paper, a chaos system and proportional differential control are both used to detect the frequency of an unknown signal. In traditional methods the useful signal is obtained through the Duffing equation or other chaotic oscillators. But these methods are too complex because of using a lot of chaos oscillators. In this paper a new method is presented that uses the R?ssler equation and proportional differential control to detect a weak signal frequency. Substituting the detected signal frequency into the R?ssler equation leads the R?ssler phase state to be considerably changed. The chaos state can be controlled through the proportional differential method. Through its phase diagram and spectrum analysis, the unknown frequency is obtained. The simulation results verify that the presented method is feasible and that the detection accuracy is higher than those of other methods.     

凡纳滨对虾生长性状的微卫星DNA标记分析

利用TUMXLv6．124、TUMXLv8．32、TUMXLv9．145、TUMXLv6．63和TUMXLv7．121c等5个微卫星标记分别对2个凡纳滨对虾群体的基因组DNA进行检测，用SSPS软件分析标记基因型和凡纳滨对虾体重之间的关系．分析结果表明，微卫星位点TUMXLv6．124和凡纳滨对虾的体重显著相关．在该位点中，基因型TUMXLv6．124-AA的个体的体重均值显著高于基因型TUMXLv6．124-AB和TUMXLv6．124-BB．其他4个微卫星标记和凡纳滨对虾的体重关系不显著．     

Optimum Identifications of Spectral Emissivity and Temperature for Multi-Wavelength Pyrometry

The main problem of the traditional radiation pyrometry is that fatal errors will be caused by the unknown or varying emissivity. Based on the combined neural networks (CNNE model), we propose an improved method for emissivity modelling. The model structure and the optimum algorithm are described. This method being used,the spectral emissivity and temperature can be fast computed accurately from the spectral radiation measured.     

Stray light suppression in BRDF measurement infrared optical system

A set of system based on personal computer for the bi-directional reflectance distribution function (BRDF) measurement was developed, whose laser wavelengths cover 0.6328, 1.34, 3.39, and 10.6 μm from visible to infrared. Stray light in BRDF measurement system was analyzed. It can be reduced and suppressed by the design of the system light path in BRDF measurement system, the choice of the measuring scheme, the processing to the optoelectronic signal, and the radiation control of the optical components and mechanical equipments. So the minimum measurable value of BRDF is less than 10-5/sr.     

基于区间数贴近度的不确定多属性决策模型

针对只有部分权重信息且属性值以区间数形式给出的多属性决策问题,提出了一种基于区间数贴近度的决策方法.首先讨论了区间数贴近度的定义和性质;然后给出了解决不确定多属性决策问题的一般步骤.并依据传统的逼近理想解的基本思路,以实际评价值与理想解之间的贴近度最大化为目标建立优化模型,从而得到指标权重.进而计算出每个方案与正理想解的相对贴近度,即可得到所有方案的排序结果.方法能充分利用规范化评价的先验信息,评价结果客观可靠,不具有主观随意性.最后通过实例分析验证了该方法的有效性和实用性.     

利用Stolz定理的推广定理求极限

介绍利用Stolz定理的推广定理求极限     

区间型联系数及其在多属性决策中的应用

在联系数的基础上定义了区间型联系数,并讨论了相应的运算法则,然后将区间型联系数应用于区间型多属性决策问题,在文中为了便于对决策结果的排序定义了区间型联系数的相对贴近度及关于区间型正理想解的投影等概念,并通过实例分析验证了该方法的有效性和实用性.     

基于属性区间识别理论的灾害损失等级划分

从属性区间识别理论的角度,探讨了自然灾害的等级划分方法.并通过实例进行了验证,结果表明,在自然灾害等级划分中,属性区间识别理论是一种科学、实用的划分方法.     

The measuring of spectral emissivity of object using chaotic optimal algorithm

There exist a considerable variety of factors affecting the spectral emissivity of an object. The authors have designed an improved combined neural network emissivity model, which can identify the continuous spectral emissivity and true temperature of any object only based on the measured brightness temperature data. In order to improve the accuracy of approximate calculations, the local minimum problem in the algorithm must be solved.Therefore, the authors design an optimal algorithm, i.e. a hybrid chaotic optimal algorithm, in which the chaos is used to roughly seek for the parameters involved in the model, and then a second seek for them is performed using the steepest descent. The modelling of emissivity settles the problems in assumptive models in multi-spectral theory.