Extension of the TOPSIS method for decision making problems under interval-valued intuitionistic fuzzy environment

TOPSIS is one of the well-known methods for multiple attribute decision making (MADM). In this paper, we extend the TOPSIS method to solve multiple attribute group decision making (MAGDM) problems in interval-valued intuitionistic fuzzy environment in which all the preference information provided by the decision-makers is presented as interval-valued intuitionistic fuzzy decision matrices where each of the elements is characterized by interval-valued intuitionistic fuzzy number (IVIFNs), and the information about attribute weights is partially known. First, we use the interval-valued intuitionistic fuzzy hybrid geometric (IIFHG) operator to aggregate all individual interval-valued intuitionistic fuzzy decision matrices provided by the decision-makers into the collective interval-valued intuitionistic fuzzy decision matrix, and then we use the score function to calculate the score of each attribute value and construct the score matrix of the collective interval-valued intuitionistic fuzzy decision matrix. From the score matrix and the given attribute weight information, we establish an optimization model to determine the weights of attributes, and construct the weighted collective interval-valued intuitionistic fuzzy decision matrix, and then determine the interval-valued intuitionistic positive-ideal solution and interval-valued intuitionistic negative-ideal solution. Based on different distance definitions, we calculate the relative closeness of each alternative to the interval-valued intuitionistic positive-ideal solution and rank the alternatives according to the relative closeness to the interval-valued intuitionistic positive-ideal solution and select the most desirable one(s). Finally, an example is used to illustrate the applicability of the proposed approach.     

A limit field for orthogonal range searches in two-dimensional random point search trees

We consider the cost of general orthogonal range queries in random quadtrees. The cost of a given query is encoded into a (random) function of four variables which characterize the coordinates of two opposite corners of the query rectangle. We prove that, when suitably shifted and rescaled, the random cost function converges uniformly in probability towards a random field that is characterized as the unique solution to a distributional fixed-point equation. We also state similar results for 2-d trees. Our results imply for instance that the worst case query satisfies the same asymptotic estimates as a typical query, and thereby resolve an open question of Chanzy et al. (2001).     

计算机自动配色预测算法研究

基于配色基础理论Ｋｕｂｅｌｋａ－Ｍｕｎｋ定律的常数形式，建立了计算机自动配色的三刺激值匹配算法，通过纺织印染自动配色预测实验表明该算法可获得色差ΔＥ小于０．１０ＣＩＥＬＡＢ的满意配方。     

Monitoring process for attributes with quality deterioration and diagnosis errors

The aim of this paper is to present an online economical quality-control procedure for attributes in a process subject to quality deterioration after random shift and misclassification errors during inspections. The process starts in control (State I) and, in a random time, it shifts to out of control (State II). Once at State II, the non-conforming fraction increases according to a non-decreasing function ψ(z), where z is the number of items produced after a shift. The monitoring procedure consists of inspecting a single item at every m produced items, which is examined r times independently to decide its condition. Once an inspected item is declared non-conforming, the process is stopped and adjusted. A direct search technique is used to find the optimum parameters which minimize the expected cost function. The proposed model is illustrated by a numerical example. Copyright © 2007 John Wiley & Sons, Ltd.     

定量型多指标决策的层次分析法探讨

本文采用等级标度与层次分析综合的方法对定量型多指标决策问题进行了讨论，它既是层次分析法在定量型多指标决策中的合理推广，同时也为定量型多指标决策问题提供了一种行之有效的方法．     

基于属性识别准则大学生思想品德量化的数学模型

依据一定的社会评价标准,建立大学生思想品德评价的指标体系,利用现代数学方法——属性识别理论和层次分析方法,建立定量研究模型.     

军校课堂教学质量的属性综合评价方法

运用属性数学理论对军校课堂教学质量进行综合评价.在建立军校课堂教学质量评价指标体系的基础上,给出了军校课堂教学质量的属性综合评价方法,可为军校教学管理部门以及本科教学评价进行合理地课堂教学质量评价提供决策参考.与一般评价方法相比,属性综合评价方法严谨、精细,评价结果更合理、更可靠.应用实例表明了方法的科学有效性.     

多属性决策的组合赋权法

鉴于多属性决策问题中主观赋权法和客观赋权法各有其自身固有的特点，本文依据优化理论提出一种集成方法确定属性权重，该方法既充分利用客观信息，又反映决策者的主观偏好，从而使确定的属性权重更加合理、实用．     

漂移管中相对论电子束引导的匹配条件

本文介绍了对连续型相对论电子束的两种引导及箍缩方法:磁场引导和离子通道的静电引导。在线性引导力的假定下,求得了单磁场引导、单静电引导以及同时使用磁场和电场的混合引导的这三种情况下的匹配条件的解析结果。解析公式表明。在混合引导情况下,为了使电子束匹配,当电子束的中和因子线性增加时,相应的引导磁场不是线性地减小。而是抛物线形地减小。本文还使用了模拟束片内电子横向运动的LGERKB编码,通过对N_0个束内电子的模拟计算,求得了电子束包络。电子束的均方根发射度、典型电子轨道、失配和匹配情况下的束内电子相空间分布(相图)及其演变过程等大量资料。线性模拟结果与解析分析结果完全一致。     

债务偿还匹配的二分法研究

在文献［１］的基础上，对资产收入流与债务序列匹配的二分法给出了一个理论证明。