通过量化分析看西南地区的旅游竞争力

运用层次分析法，对全国八大片区（以34座城市作为代表）的旅游竞争力进行了考量、排序，并以昆明、成都、贵阳和重庆四城市为主视角，对西南地区近年来的旅游业绩给予中肯评价。     

基于遗传算法的核函数参数优化

核主分量分析是一种输入输出特征非线性变换技术。选择最优或接近最优的非线性变换核函数参数,使类的可分性测度最大,是KPCA应用于特征提取的关键。本文采用高斯变异遗传算法作优化技术,实现了KPCA和GA的集成,适合核函数参数的优化选择。仿真表明,该技术可行、有效。     

外资进入对本土企业风险承担的影响：资本逐利还是风险规避

外资自由化作为我国资本市场开放的重要内容,在促进境内外资本要素互联互通的同时,也深刻影响着微观企业行为。以我国2007—2017年A股上市公司作为研究样本,实证检验外资进入对我国本土企业风险承担的影响。研究发现：外资进入能够显著提升企业的风险承担水平。进一步地,外资进入对企业风险承担的促进效应在融资约束严重、股权集中度更高和市场化进程缓慢地区的企业中更加显著。此外,在不同资本市场开放水平,外资进入对企业风险承担的作用存在明显差异。     

浅析工业设备支撑体系方案优化的思路

设备承重支撑体系是一种特殊的结构形式,在我国工业项目中的应用范围越来越广,设备支撑结构体系类似于民建钢框架结构、钢框架-支撑结构体系。重型设备的支撑点主要集中在结构体系的局部楼层,导致上下楼层质量、刚度比例偏差较大,设备布置偏心,不满足抗震设防要求[1]。随着传统工业的工艺技术不断革新、新型工艺技术的发展、重型设备的出现,优化钢结构承重支撑体系势在必行。在满足承载能力和使用要求的前提下,可打破常规规则与相对不规则结构形式间的界限。依据结构专业设计条件[2]、操作楼层和承重楼层分别设计的优化思路,对降低钢材用量、节约项目成本具有现实意义。鉴于此,论文主要对现阶段工业承重体系的优缺点进行分析,提出其承重钢结构体系优化的构想和措施。     

Ex-post full surplus extraction,straightforwardly

Consider an estimate of the common value of an auctioned asset that is symmetric in the bidders’ types. Such an estimate can be represented solely in terms of the order statistics of those types. This representation forms the basis for a pricing rule yielding truthful bidding as an equilibrium, whether bidders’ types are affiliated or independent. We highlight the link between the estimator and full surplus extraction, providing a necessary and sufficient condition for ex-post full surplus extraction, including the possibility of independent types. The results offer sharp insights into the strengths and limits of simple auctions by identifying the source of informational rents in such environments. Harstad acknowledges hospitable accommodation by the Fuqua School of Business, Duke University, and the Olin School of Business, Washington University in St. Louis, during parts of this research. We are grateful for comments and suggestions from Richard McLean and Jeroen Swinkels.     

基于三角模糊数比较大小原理的模糊层次分析法在供应商合作伙伴选择中的应用

提出了一种基于三角模糊数比较原理的供应商评价指标体系和多级评价模型，根据模糊层次分析法建立决策递阶层次结构，再依据三角模糊数比较原理隶构建多级评价模型，通过实证分析说明了该模型在供应商评价方面的有效性.     

On exact D-optimal designs with 2 two-level factors and n autocorrelated observations

In this paper we consider the exact D-optimal designs for estimation of the unknown parameters in the two factors, each at only two-level, main effects model with autocorrelated errors. The vector of the n random errors in the observed responses is assumed to follow a first-order autoregressive model (AR(1)). The exact D-optimal designs seek the optimal combinations of the design levels as well as the optimal run orders, so that the determinant of the information matrix of BLUEs for the unknown parameters is maximized. Bora-Senta and Moyssiadis (1999) gave some conjectures about the exact D-optimal designs based on their experience of several exhaustive searches. In this paper their conjectures are partially proved to be true.Received: January 2003 / Accepted: October 2003Partially supported by the National Science Council of Taiwan, R.O.C. under grant NSC 91-2115-M-008-013.Supported in part by the National Science Council of Taiwan, R.O.C. under grant NSC 89-2118-M-110-003.     

CMM模型和我国软件业生产过程标准化

CMM模型是国际上最流行的一种软件生产过程标准。本文比较了国内外软件业生产过程标准化的现状,分析了阻碍我国软件业开展CMM评估的原因,并在此基础上,提出在我国推行CMM标准亟待解决的几个主要问题。     

工序能力指数的新定义及其应用

本文简述工序能力指数的传统定义及其不合理性,其根源是偏移系数的定义有缺陷。改进偏移系数的定义后,将使工序能力指数的定义更加科学、合理,进而给出不合格品率p与C_p、k之间的计算公式和常用数值表,供企业应用时选用。     

基于改进遗传算法的生鲜加工配送中心连续选址模型

建立了生鲜加工配送中心选址连续模型，在引入监控算子的基础上，运用改进的遗传算法对模型进行求解。该模型和改进的遗传算法可有效的解决生鲜加工配送中心的选址问题。