上海科技园区高新技术产业布局实证调查研究

考虑上海市拟借科技园区布局高新技术产业发展的需要,依据主导产业选择与评判的基本标准,设计了上海科技园区产业选择评价指标体系,采用OWA集成算子对专家评分结果进行综合处理,得出了上海九大高新技术产业在八大科技园区的优先布局及各园区在产业方面优先布局的结果。     

中国移动通信运营商运营模式分析

本文在对运营模式相关文献的回顾与论述的基础上，首次对运营模式这一概念提出清晰的定义，并为分析运营模式设计出完整的框架。在此框架指引下，以中国移动通信公司为实证研究样本，具体阐释中国移动通信运营商运营模式的构成和演变，以及分析它是如何将运营模式付诸于实际行动，如何根据经营环境突变进行运营模式创新。     

旅游关系营销:旅游营销创新的一个概念性框架

从创新角度出发，在经典的市场营销组合4Ps模式基础上，提出了旅游营销6P1S组合模式；以“引入关系、重视关系”为指导，建立了目的地“关系营销桥梁战略模式”(DTRMSBM)。在此基础上，提出了旅游企业概念性关系营销战略(TCRMS)的框架：以“始于游客、终于游客”为指导，确立“游客至上”的营销战略目标；以“动态定位、整体定位”为指导，确立动态适应的营销战略对策体系，“以变应变、以动制动”；以游客服务为中心，把全过程服务(TPS)贯穿于营销战略的始终。     

我国移动通信运营商顾客让渡价值管理探析

移动通信业是当前我国电信业的发展热点,也是竞争最为激烈的业务.在这种条件下,移动通信运营商必须通过贯彻"以客户为中心"的理念,依靠技术进步、新业务推出及服务创新等途径给客户创造和传递更多的让渡价值,才能有效地提高客户的满意度和忠诚度,达到维系老客户,吸引新客户的目的.     

基于二元语义信息处理的航空枢纽军供站选址方法

针对航空枢纽军供站的选址决策问题,提出了基于二元语义信息处理的群决策的选址方法;构建了航空枢纽军供站选址指标体系;介绍了二元语义的概念及其集结运算算子;并进一步给出了评价选址问题的具体步骤。最后通过一个实例,验证了该方法的有效性及实用性。     

基于能值分析的农业经营主体可持续发展能力研究

[目的]通过对农业经营主体可持续发展能力测算方法的研究及可持续发展能力的实证分析,为提高农业经营主体可持续发展能力及培育新型农业经营主体提供理论支持和经验参考。[方法]借助典型案例调查及官方统计数据,采用物质—价值流和能值分析法对农业经营主体可持续发展能力问题展开研究。[结果]物质—价值流实证结果表明,家庭农场、种植大户和普通农户的单位土地净收入分别为1.778 4万元/hm~2、1.153 1万元/hm~2和0.439 6万元/hm~2;能值分析实证结果显示,家庭农场、种植大户和普通农户的可持续发展指数依次为24.49、4.21和3.58。[结论]从经济效益和可持续发展能力的视角来看,新型农业经营主体优于普通农户,家庭农场单位土地净收入最高,有较大的发展空间,可持续发展能力最大。     

Re-identification in the Absence of Common Variables for Matching

A basic concern in statistical disclosure limitation is the re-identification of individuals in anonymised microdata. Linking against a second dataset that contains identifying information can result in a breach of confidentiality. Almost all linkage approaches are based on comparing the values of variables that are common to both datasets. It is tempting to think that if datasets contain no common variables, then there can be no risk of re-identification. However, linkage has been attempted between such datasets via the extraction of structural information using ordered weighted averaging (OWA) operators. Although this approach has been shown to perform better than randomly pairing records, it is debatable whether it demonstrates a practically significant disclosure risk. This paper reviews some of the main aspects of statistical disclosure limitation. It then goes on to show that a relatively simple, supervised Bayesian approach can consistently outperform OWA linkage. Furthermore, the Bayesian approach demonstrates a significant risk of re-identification for the types of data considered in the OWA record linkage literature.     

Hybrid particle swarm optimization with mutation for optimizing industrial product lines: An application to a mixed solution space considering both discrete and continuous design variables

This article presents an artificial intelligence-based solution to the problem of product line optimization. More specifically, we apply a new hybrid particle swarm optimization (PSO) approach to design an optimal industrial product line. PSO is a biologically-inspired optimization framework derived from natural intelligence that exploits simple analogues of collective behavior found in nature, such as bird flocking and fish schooling. All existing product line optimization algorithms in the literature have been so far applied to consumer markets and product attributes that range across some discrete values. Our hybrid PSO algorithm searches for an optimal product line in a large design space which consists of both discrete and continuous design variables. The incorporation of a mutation operator to the standard PSO algorithm significantly improves its performance and enables our mechanism to outperform the state of the art Genetic Algorithm in a simulated study with artificial datasets pertaining to industrial cranes. The proposed approach deals with the problem of handling variables that can take any value from a continuous range and utilizes design variables associated with both product attributes and value-added services. The application of the proposed artificial intelligence framework yields important implications for strategic customer relationship and production management in business-to-business markets.     

一种改进的遗传算法及其在函数优化中的应用

使用简单遗传算法(SGA)求解线性方程组时,由于易发生"早熟"现象,简单遗传算法求出的数值解误差很大甚至会失真。针对此问题,本文提出了一种改进的遗传算法(IGA),并设计了选择算子,交叉算子和变异算子。为了提高简单遗传算法抗"早熟"的能力,采用遗传算子结合惩罚函数,最佳个体保留以及种群迁移等措施。最后以核磁共振测井数学模型线性化后的大型病态线性方程组为例,对算法进行了测试。实验结果表明:同简单遗传算法相比较,IGA在一定程度上提高了数值解的精度。     

国有企业经营者绩效评价中存在的问题

讨论了我国国有企业经营者绩效评价中普遍存在的经营者界定不明晰、评价主体单一、评价指标短期化、忽视绩效反馈等四个方面的问题。