多目标多维模糊决策模型的模糊交叉算法

对多目标多维模糊决策模型做了进一步研究，提出一种模糊环境下带有目标权重主观监督因子的目标函数，提出了计算模糊决策识别矩阵与目标权重的模糊交叉计算公式。该算法既充分利用了模糊决策中的客观信息，又充分利用了决策专家的知识与经验，将客观定权与主观定权有机结合起来，为求解最优模糊决策识别矩阵和确定目标最优权重提供了一种有效途径，进一步丰富了多目标多维模糊决策理论模型。将本文提出的模糊决策方法应用于16家电炉炼钢企业的模糊综合评价决策，取得了较为满意的效果。     

Comments on ‘‘Design of aluminium boom and arm for an excavator”

This paper comments on the recently published work dealing with the problem in the design of the backhoe excavator working device. It also includes remarks on the inadequacy in the problem approach to the device weight optimization and synthesis, and highlights mistakes in the mathematical model. This work points out the demand for a much wider approach to the optimization problem of the backhoe excavator working device.     

SDBS与HA缓蚀剂复配的实验与理论研究

通过静态失重法研究了十二烷基苯磺酸钠(SDBS)与六亚甲基四胺(HA)在盐酸溶液中对Q235钢的协同缓蚀效应, 并采用分子动力学模拟从缓蚀剂膜抑制腐蚀粒子扩散的角度对其缓蚀机理进行分析. 结果显示: SDBS和HA单独使用时, 最高缓蚀效率分别为82.82%和79.46%, 复配后最高缓蚀效率可达到92.78%; 与两种缓蚀剂单独使用时相比, SDBS与HA复配后缓蚀剂膜体系中的自由空间明显下降, 削弱了膜内缓蚀剂分子的自扩散能力, 腐蚀粒子在缓蚀剂膜携带下的被动迁移也随之减弱; SDBS与HA复配能更有效抑制腐蚀粒子在缓蚀剂膜中的扩散, 也就是说复配后的缓蚀剂具有更好的缓蚀性能.     

On the Existence of Positive Eigenvalues for Linear and Nonlinear Equations with Indefinite Weight

We prove the existence of positive eigenvalues for two types of equations having an indefinite weight. We consider the linear case, and we show the existence of a positive principal eigenvalue corresponding to a positive eigenfunction. For the nonlinear case, we show that the set of positive eigenvalues is an unbounded interval, and that the corresponding eigenfunctions are positive.     

Weight sets of irreducible integrable representations of kac-moody algebras of indefinite type

In this paper, the weight sets of some irreducible and integrable representations, which are not highest or lowest weight representations, of rank two Kac-Moody algebras of indefinite type are completely determined.     

Tensor Products of Torsion Free C n -Modules of Finite Degree and Finite Dimensional Modules

It is known that every torsion free C _n -module of finite degree is completely reducible. In this article, we provide a formula for the decomposition of the tensor product of a simple torsion free C _n -module of finite degree with a simple finite dimensional C _n -module. As a byproduct we obtain a recursion formula for the decomposition of the tensor product of any two simple finite dimensional C _n -modules.     

Classification of Simple Weight Modules for the Neveu–Schwarz Algebra with a Finite-Dimensional Weight Space

We show that the support of a simple weight module over the Neveu–Schwarz algebra, which has an infinite-dimensional weight space, coincides with the weight lattice and that all nontrivial weight spaces of such module are infinite-dimensional. As a corollary we obtain that every simple weight module over the Neveu–Schwarz algebra, having a nontrivial finite-dimensional weight space, is a Harish–Chandra module (and hence is either a highest or lowest weight module, or else a module of the intermediate series). This result generalizes a theorem which was originally given on the Virasoro algebra.     

On ratio-based RTS determination: An extension

This technical note extends the results of our recent paper [Korhonen, Soleimani-damaneh, Wallenius, EJOR 215 (2011) 431–438], for determining the RTS status of Decision Making Units in Weight-Restricted DEA models.     

Single image motion deblurring: An accurate PSF estimation and ringing reduction

In this paper we have proposed a single image motion deblurring algorithm that is based on a novel use of dual Fourier spectrum combined with bit plane slicing algorithm and Radon transform (RT) for accurate estimation of PSF parameters such as, blur length and blur angle. Even after very accurate PSF estimation, the deconvolution algorithms tend to introduce ringing artifacts at boundaries and near strong edges. To prevent this post deconvolution effect, a post processing method is also proposed in the framework of traditional Richardson–Lucy (RL) deconvolution algorithm. Experimental results evaluated on the basis of both qualitative and quantitative (PSNR, SSIM) metrics, verified on the dataset of both grayscale and color blurred images show that the proposed method outperforms the existing algorithms for removal of uniform blur. A comparison with state-of-the-art methods proves the usefulness of the proposed algorithm for deblurring real-life images/photographs.