工厂员工满意度模糊综合评价模型的构建

借助管理心理学有关理论建立工厂员工满意度指标体系,并运用模糊数学构建了一套员工满意度的综合评估模型。同时,进行实证研究。     

学生水平的模糊综合评价模型

针对学生水平评价问题,提出一种模糊综合评价模型,模型综合考虑多种评价因素及其权值,以模糊数学为工具,利用模糊变换和模糊合成等运算实现学生水平的判断,进而更准确的了解学生学习情况,并给予切实的指导.     

基于模糊综合评价法的企业竞争力评价

本文通过使用模糊综合评价方法对所构建的企业竞争力评价指标体系建立评价模型,使用模糊数学的方法,从技术能力、研发与创新、赢利能力、企业战略等方面阐述了评价过程中的模糊因素,建立了企业综合竞争力评价指标体系,给出了隶属函数及权重的确定方法,为企业综合竞争力定量化考核方法的设计提供了依据。     

基于ERP适应度的模糊综合评价研究

国内企业ERP实施正在如火如荼地展开,但当前我国企业实施ERP成功率并不高。本文从企业本身的角度出发,利用模糊综合评价方法,对企业实施ERP之前的各相关因素进行了评价,并给出了相应对策。     

企业ERP导入的模糊综合评价模型

本文分析了企业实施ERP中需考虑的各项因素,并在此基础上建立了企业实施ERP系统的评价指标体系,提出了企业实施ERP系统方案的模糊综合评价模型,最后举例说明了具体评价过程。     

基于模糊综合评价法的高校专利综合实力评价

为了使我国高校的专利综合实力评价工作更为科学、规范,本文构建了比较完善的高校专利综合实力评价指标体系.在此基础上,运用模糊综合评价方法对所选上海市九所高校中的一所重点高校专利综合实力进行了分析评价.     

客户关系管理项目的模糊综合评价

客户关系管理(CRM)项目的成功率较低,对企业来说有较大风险,在实施之前,对CRM项目进行评价是十分必要的。通过分析研究,建立客户关系管理项目的综合评价指标体系,提出运用模糊数学对客户关系管理项目进行评价的方法。     

模糊综合评价分析法在大学生职业综合评价中的应用

当代大学生如何去选择职业,选择何种职业取决于职业的价值评价。本文通过层次分析法和模糊综合评价分析法对大学生职业进行综合评价。     

网上银行风险的模糊综合评价研究

网上银行作为一种实体银行的虚拟工作环境,其风险范畴要比实体银行大得多。本文试用模糊综合评价方法对网上银行存在的风险进行综合研究,以其能够对其风险进行防范。另外在实证研究上,本文以郑州大学为调查单位开展小规模的问卷调查活动,以此来验证该方法的可行性。     

中小城市公交系统的模糊综合评价

公交是城市中非常环保的出行方式,也是现阶段我国提倡的一种出行方式。但是通过调查,中小城市公交系统的发展受到了较大的阻碍,影响了公交出行方式的推广。本文主要介绍了中小城市公交系统中模糊综合评价的方法,给出了层次分析法进行评价的步骤,并且以中小城市的公交系统为例,对其进行了模糊综合评价。     

模糊群决策方法在中间商选择中的应用研究

企业在选择中间商时往往面临着候选伙伴评价指标信息获取的困难,为了使决策科学合理,采用群决策方法集成各领域不同专家的信息,通过语言变量把专家的主观判断转化为对应模糊数,建立相应的数学模型,并计算出用模糊数表示的候选者综合评价值。     

一种基于模糊逻辑的切换算法

针对蜂窝移动系统的越区切换,提出了一种基于模糊逻辑的切换判决算法.通过仿真与只以信号强度为指标的传统切换算法进行了性能比较,结果表明:采用多指标判决的模糊逻辑切换算法能够有效降低系统的掉话率和切换数量,提高服务等级.     

虚拟组织项目后评估体系研究

进行虚拟组织项目后评估,从根本上来说是为了提高虚拟组织的决策和管理的科学性。结合虚拟组织项目后评估的作用、特点,构建了虚拟组织项目后评估体系,综合运用层次分析法和模糊综合评价法进行研究,并使评价结果定量化。     

Group Decision Support Using Fuzzy Cognitive Maps for Causal Reasoning

Cognitive maps have been used for analysing and aiding decision-making by investigating causal links among relevant domain concepts. A fuzzy cognitive map (FCM) is an extension of a cognitive map with the additional capability of representing feedback through weighted causal links. FCMs can be used as tools for both static as well as dynamic analysis of scenarios evolving with time. An FCM represents an expert's domain knowledge in a form that lends itself to relatively easy integration into a collective knowledge base for a group involved in a decision process. The resulting group FCM has the potential to serve as a useful tool in a group decision support environment. An appropriate methodology for the development and analysis of group FCMs is required. A framework for such a methodology consisting of the development and application phases is presented.     

A Fuzzy Multi-Criteria Decision Making Model for IS Student Group Project Assessment

To accommodate the criterion-referenced student group project assessment approach, this paper proposes a fuzzy group Multi-Criteria Decision Making (MCDM) model. The proposed model can be used to solve student group project assessment problem in particular and generic MCDM problems in general, where the criteria used are often different and can be scored with multiple preference formats. The proposed fuzzy group MCDM model supports seven different preference formats, including preference ordering, utility vector, linguistic term vector, selected subset, fuzzy selected subset, fuzzy preference relation, and normal preference relation. It has been firstly used in the context of Information Systems (IS) student group project assessment.     

Applying Multiattribute-Based Group Decision Making Techniques in Complex Equipment Selection Tasks

A practicing industrial engineer, even an experienced decision maker, needs help in the sense that there is a necessity to use more logical or analytical decision support tools, especially when dealing with control and instrumentation projects which are often worth millions of dollars. In this article we propose an algorithm which can support the process of group decision making relating to industrial automation, especially involving the selection of control and instrumentation equipment. The aim of this article is to look only at the algorithm's application and how it is applied. To this end, two test cases are used as examples: (1) selecting a local area network for installation in an academic environment; and (2) selecting an integrated control system for a real-world pulp and paper mill. Obtained results show that the algorithm leads to a satisfactory solution. A software form of the algorithm is being programmed for use as a decision support tool.     

基于模糊c-聚类的港口多式联运结点布局规划

中国港口建设与港口经济的发展,使港口成了中国的门户,成了综合运输的核心枢纽,加快加强港口多式联运体系建设,已成为港口经济发展的必然趋势。本文在分析影响港口多式联运结点布局因素的基础上,采用改进后的模糊c-算法,把单目标问题转化为多目标问题,增加关于隶属度函数的二级目标,对港口多式联运结点布局进行研究,并以广州港为例,对本文所提出的模糊c-聚类算法的实用性进行了验证。     

Making Location Decision Based on Regional Industrial Capabilities: A Case of a Distributor

This article presents a structured process to make facility location decisions based on regional industrial capabilities. It presents a framework for collecting business intelligence on major cities of the region of interest. In the next step, the collected business intelligence is incorporated into a quantitative decision analysis model for facility location. While the proposed framework is generic and builds on the existing international business and supply chain management literature, the article mainly focuses on the facility location problem of a distribution firm that is not well represented in the literature. Two cases—one each for new and established distributors who are trying to sell to the Mexican market—are presented in the article.     

海岸带区域产业布局评价指标体系设计

以可持续发展为原则,针对海岸带区域独特的经济、社会和资源环境特点,设计出产业布局评价指标体系;将该指标体系运用到对上海市海岸带区域6个区县的实证分析上,得出客观评价:浦东新区产业布局合理化程度最高,接下来依次是宝山、南汇、奉贤、金山和崇明。这一结果与上海市的实际情况基本吻合,从而验证了该评价指标体系的可行性。     

基于AHP和模糊灰色综合评价法的新农村建设融资模式研究

新农村建设包括农村基础设施建设、农业技术改造和农村经济发展等方面,需要庞大的资金支持。本文研究了财政支农、农村金融机构支农和农村非正规金融机构支农政策的实践效果,指出了三种方式的利弊;采用层次分析方法（AHP）对每种新农村建设的融资模式的指标权重进行了分析;然后建立了基于模糊综合评价的新农村建设融资模式的评价方法,并结合具体案例进行了实证分析。通过建立的基于层次分析法和模糊综合评价的新农村建设融资模式评价方法体系,可以帮助决策者更加准确和客观地选择新农村建设的融资模式。