A study of the static and global bifurcations for Duffing equation

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企业与银行交易关系动态模型分析

本文采用动态分析的方法,分析介绍企业融资与以银行为代表的金融机构可能发生的交易关系,论述了以利益最大化为目标的银企双方在贷借活动中可以通过建立相互信赖的长期交易契约未达到节约投资资金使用成本的一个理论依据．指出了企业“名声”所具有的经济价值能减少经济活动中的机会主义行为,银行的“审查能力”能挽救陷入流动性资金不足的企业免于破产的作用．分析的结果可能会对银行商业化、企业现代化及投资管理决策提供一个参考．     

Structure Refinement and Two-Center Luminescence of Ca(3)La(3)(BO(3))(5):Ce(3+) under VUV-UV Excitation

A series of Ca(3)La(3(1-x))Ce(3x)(BO(3))(5) phosphors were prepared by a high-temperature solid-state reaction technique. Rietveld refinement was performed using the powder X-ray diffraction (XRD) data, which shows occupation of Ce(3+) on both Ca(2+) and La(3+) sites with a preferred location on the La(3+) site over the Ca(2+) site. The prepared samples contain minor second phase LaBO(3) with contents of ～0.64-3.27 wt % from the Rietveld analysis. LaBO(3):1%Ce(3+) was prepared as a single phase material and its excitation and emission bands were determined for identifying the influence of impurity LaBO(3):Ce(3+) luminescence on the spectra of the Ca(3)La(3(1-x))Ce(3x)(BO(3))(5) samples. The luminescence properties of Ca(3)La(3(1-x))Ce(3x)(BO(3))(5) samples under vacuum ultraviolet (VUV) and UV excitation were investigated, which exhibited two-center luminescence of Ce(3+), assigned to the Ce(1)(3+) center in the La(3+) site and Ce(2)(3+) center in the Ca(2+) site, taking into account the spectroscopic properties and the Rietveld refinement results. The influences of the doping concentration and the excitation wavelength on the luminescence of Ce(3+) in Ca(3)La(3(1-x))Ce(3x)(BO(3))(5) are discussed together with the decay characteristics.     

一类不定性多人两层多目标协调决策模型的初探

考虑到组织决策中分权的普遍存在和高低管理层间依靠信息沟通所发生的控制和协调行为以及组织环境和内部条件的真实特征-不定性，本文将一类特殊的多人两层多目标协调决策模型置于组织不定性环境中予以研究，提出了不定性多人两层多目标协调决策模型．并通过模型的不断转化和K—T条件的应用，最终转化为确定的一般目标规划模型．同时，考虑到上层决策单元对下层决策行为的信息反馈进行处理时的及时性和交互性要求，一个具有快速反应能力的双层人机交互决策模式在问题求解中被设计出来以适应组织对适时目标管理的信息处理需要．     

A class of multiobjective linear programming model with fuzzy random coefficients

The aim of this paper is to deal with a multiobjective linear programming problem with fuzzy random coefficients. Some crisp equivalent models are presented and a traditional algorithm based on an interactive fuzzy satisfying method is proposed to obtain the decision maker’s satisfying solution. In addition, the technique of fuzzy random simulation is adopted to handle general fuzzy random objective functions and fuzzy random constraints which are usually hard to be converted into their crisp equivalents. Furthermore, combined with the techniques of fuzzy random simulation, a genetic algorithm using the compromise approach is designed for solving a fuzzy random multiobjective programming problem. Finally, illustrative examples are given in order to show the application of the proposed models and algorithms.     

A class of linear differential dynamical systems with fuzzy matrices

This paper investigates the first order linear fuzzy differential dynamical systems with fuzzy matrices. We use a complex number representation of the α-level sets of the fuzzy system, and obtain the solution by employing such representation. It is applicable to practical computations and has also some implications for the theory of fuzzy differential equations. We then present some properties of the 2-dimensional dynamical systems and their phase portraits. Some examples are considered to show the richness of the theory and we can clearly see that new behaviors appear. We finally present some conclusions and new directions for further research in the area of fuzzy dynamical systems.     

A multiple attribute group decision making framework for the evaluation of lean practices at logistics distribution centers

In recent years, to adapt rapidly to changing market environments and outdo the competition more companies and organizations have adopted lean management practices. One problem that has arisen in these companies and organizations is the need to develop methods to accurately evaluate the lean practices performance. This study proposes a multiple attribute group decision making (MAGDM) framework to facilitate such evaluations. It deals with the consensus process and selection process for MAGDM problems based on the 2-tuple linguistic computation model. The similarity degree and consensus for the linguistic decision matrix are defined using an Euclidian distance function. An algorithm describing the consensus reaching process is presented and its properties analyzed. The entropy method is generalized to a linguistic setting to derive the importance weights for the attributes. One of the main ideas behind the entropy method is that attributes with quite different values are considered more important and therefore have higher weights. Finally, the developed MAGDM framework is applied to a lean practices evaluation problem for a commercial tobacco company’s logistics distribution centers in China.     

Grafting nanocellulose with diethylenetriaminepentaacetic acid and chitosan as additive for enhancing recycled OCC pulp fibres

Cellulose - This paper develops a novel paper additive for effectively recycling old corrugated container (OCC) by functionalizing nanocellulose (NC) with diethylenetriaminepentaacetic acid (DTPA)...     

Duffing方程的静态与动态分岔特性研究

对于Duffing方程的静态和全局动态分岔,通过研究平均方程的全局行为得到了出现各种分岔的条件,揭示了Duffing方程周期解的变化过程及其具有的非线性动力学性质。