Moldability Evaluation for Molded Parts Based on Fuzzy Reasoning

Moldability evaluation for molded parts,which is the basis of concurrent design,is a key design stage in injection molding design.By moldability evaluation the design problems can be found timely and an optimum plastic part design achieved.In this paper,a systematic methodology for moldability evaluation based on fuzzy logic is proposed.Firstly,fuzzy set modeling for six key design attributes of molded parts is carried out respectively.Secondly,on the basis of this,the relationship between fuzzy sets for design attributes and fuzzy sets for moldability is established by fuzzy rules that are based on domain experts‘ experience and knowledge.At last the integral moldability for molded parts is obtained through fuzzy reasoning.The neural network based fuzzy reasoning approach presented in this paper can improve fuzzy reasoning efficiency greatly,especially for system having a large number of rules and complicated membership functions.An example for moldability evaluation is given to show the feasibility of this proposed methodology.     

Fuzzy Set-Based Risk Evaluation Model for Real Estate Projects

With the rapid development of residential real estate market, risk evaluation has been an important task in the process of project. This paper describes a risk evaluation method for residential real estate projects based on fuzzy set theory which uses linguistic variables and respective fuzzy numbers to evaluate the factors. The primary weights of factors and evaluation of alternatives are determined by applying linguistic variables and fuzzy numbers. The notion of Shapley value is used to determine the global value of each factor in accomplishing the overall objective of the risk evaluation process, so the primary weights are revised, thus the importance of factors can be reflected more precisely. A major advantage of the method is that it allows experts and engineers to express their opinions on project risk evaluation in linguistic variables rather than crisp values. An illustration is presented to demonstrate the application of the method in risk evaluation. The results are consistent with the results calculated by conventional risk evaluation method. The research demonstrates that the method is objective and accurate, and is of an application value in the risk evaluation for residential real estate project.     

KDD-based rolling schedule model for plate mill

A novel method for generating a rolling schedule is presented, which is fundamentally different from the existing ones.KDD (knowledge discovery in database) techniques are applied for discovering association rules between rolling parameters in a large database of rolling operation, and based on these rules, the schedule for the crucial last six finishing passes is generated. Operational evaluation shows that the schedule generated by the new method outperforms that generated by existing methods. It also shows how in this application the human's domain knowledge is applied to speed up the KDD process and to ensure the validity of the knowledge discovered.     

Four basic laws in design science

A point on the distinction between design and science is given and the connotanons of aeslgn science are discussed in the paper. Design should be understood as the first step of all human＇ s purposeful activity, which is a daily behavior for everyone. Four laws are summarized, which describe the basic patterns of design and are the constituents of design science. They are the law of design based on existed knowledge, law of in- completeness of design knowledge, law of design centered on new knowledge acquirement and law of competi- tiveness of design knowledge. The four basic laws show the knowledge essence of design. To enrich the existed knowledge, to make it convenient to be used, to teach designers with high intuition and inspiration in picking useful elements of existed knowledge and shaping competitive ideas and to have strong new knowledge acquire- ment facility are the basic conditions of good designs. Study of design science will promote the structure of tra- ditional engineering education. An important conclusion is derived that there will be no successful innovation without good design.     

The Algorithm for Rule-base Refinement on Fuzzy Set

In the course of running an artificial intelligent system many redundant rules are often produced. To refine the knowledge base, viz. to remove the redundant rules, can accelerate the reasoning and shrink the rule base. The purpose of the paper is to present the thinking on the topic and design the algorithm to remove the redundant rules from the rule base. The ＂abstraction＂ of ＂state variable＂, redundant rules and the least rule base are discussed in the paper. The algorithm on refining knowledge base is also presented.     

A 3D evaluation method of cutting surface topography of carbon/carbon （C/C） composite

<正> This paper aims to establish a 3D evaluation method for cutting surface topography of C/C composites.The cutting surface is measured by Talyscan 150,using 3D non-contact measurement.By evaluating2D and 3D roughness of C/C composite and Duralumin,the 2D evaluation method of the cutting surfacetopography of C/C composite loses a lot of information,and the characteristics of the surface topographyof C/C composite can be comprehensively and authentically evaluated only by the 3D evaluation method.Furthermore,3D amplitude and spatial parameters are adopted to evaluate the surface and the resultsshow that:the topography of the C/C composite is anisotropy and there are no obvious feeding texturesbut abrupt peaks and valleys on surface of the C/C composite,which indicates that the machining mechanismis different from that of the metal.In conclusion,The C/C composite surface is evaluated using a3D evaluation method,the roughness error is small,and the unique topography characteristics can be authenticallyevaluated.     

The Dynamic Evaluation of Enterprise''''s Strategy Based on Rough Set Theory

This paper presents dynamic evaluation of enterprise's strategy which is suitable for dealing with the complex and dynamic problems of strategic evaluation. Rough Set Theory is a powerful mathematical tool to handle vagueness and uncertainty of dynamic evaluation. By the application of Rough Set Theory, this paper computes the significance and weights of each evaluation criterion and helps to lay evaluation emphasis on the main and effective criteria. From the reduced decision table, evaluators can get decision rules which direct them to give judgment or suggestion of strategy. The whole evaluation process is decided by data, so the results are certain and reasonable.     

Application of a multi-field synergy principle in the performance evaluation of convective heat transfer enhancement in a tube

For laminar and turbulent convective heat transfer, the synergy among vectorial physical quantities of a fluid particle is analyzed to reveal the relation between the multi-field synergy mechanism and heat transfer enhancement. Additionally, the efficiency evaluation criterion (EEC) is proposed to evaluate the overall performance of heat transfer enhancement. Meanwhile, using synergy angles α,β,,γ and η, a unified evaluation system and corresponding evaluation indexes for heat transfer enhancement are suggested. A model of a heat-transfer-enhanced tube inserted with poles in a triangular configuration is built, and a corresponding numerical simulation is conducted to verify the proposed evaluation system and criterion. The calculation results show that there is correlation between synergy angles reflecting the direction of heat transfer enhancement and evaluation criterion reflecting the effect of heat transfer enhancement. In the Re number range of 300-1800, the performance evaluation criterion PEC lies in the range of 1.2-2.3, but the efficiency evaluation criterion EEC lies in the range of 0.33-0.45.     

面向对象的可制造性评价系统

可制造性评价是实现产品并行设计的重要手段。本文介绍了一个面向对象的可制造性评价系统，提出了基于优化工艺设计的可制造性评价策略，将优化工艺设计转化为一个目标规划问题。在此基础上，讨论了基于约束检验的可制造性评价内容和提出了结构工艺性评价和加工可行性评价的分层评价树；研究了可制造性评价系统的信息需求及信息建模，系统知识组成及面向对象的知识表达。最后介绍了基于面向对象技术的系统实现过程和体系结构。     

模糊知识体系逻辑扩展能力评价模型研究

以真度测度区间的兼容性和推理结果的逻辑语义一致性为评价指标，在模糊逻辑知识体系和二值逻辑知识体系间严格定义了一种模糊知识体系逻辑扩展能力评价模型，并给出对典型加权模糊逻辑的详细评测过程，这个模糊知识体系的逻辑扩展能力评价模型，可对各领域模糊知识体系对二值逻辑知识体系扩展的合理性程度进行评测。     

基于模糊综合评价的客户知识管理绩效评价研究

以客户知识管理绩效评价为研究对象.对企业知识管理绩效评价和客户知识管理进行了分析.建立了基于CMAT的客户知识管理绩效评价指标体系.给出了模糊综合评价的评价过程模型.为企业有效实施客户知识管理绩效评价提供了一个研究框架.     

基于知识的集成化机械零件DFM方法研究

研究基于知识的集成化零件ＤＦＭ方法。基于面向对象技术,采用框架和规则混合方式,表达可制造性评价知识,建立了零件可制造性评价体系和评价知识库。采用分层递阶的零件可制造性评价策略,在零件设计过程中,基于制造知识,对零件可制造性分阶段地进行评价与反馈,提供零件设计修改的反馈信息,从而指导产品设计。基于集成产品模型,通过ＳＴＥＰ文件,ＤＲＭ系统直接获取ＣＡＤ中的零件设计信息,自动进行评价与反馈,实现了ＣＡＤ／ＤＦＭ的信息共享和信息集成。     

一种基于证据理论的组织内知识共享风险评估方法

给出了一种组织内知识共享风险的分析与评估方法·首先,通过对国内外有关知识共享的相关研究的分析,找出使组织产生知识共享风险的主要因素,在此基础之上,通过采用问卷调查和统计分析的方法,建立了组织内知识共享风险评估指标体系,该指标体系主要包括四方面风险,即组织结构方面风险、组织文化方面风险、关键人员方面风险和知识技术方面风险等;然后根据该指标体系并针对指标评估信息具有不确定性和不完全性的特点,给出了一种基于证据理论的知识共享风险评估方法;最后,通过一个算例说明了如何通过该方法评估组织内知识共享风险·     

基于特征的零件可制造性评价方法

研究基于特征的零件可制造性评价方法;基于特征对零件设计与工艺设计的并行过程进行分解与重组,基于特征进行零件设计、工艺设计和可制造性评价。建立了特征可制造性评价体系,采用分层递阶的评价策略,基于制造知识,对零件的可制造性进行评价与反馈,从而指导产品设计,为实现ＣＡＤ／ＣＡＰＰ的实时并行打下良好的基础。     

企业战略框架下的知识管理绩效评价研究

针对现有知识管理绩效评价体系的不足,从企业外部竞争环境和企业战略以及企业内部知识管理能力两个方面建立了知识管理评价预选指标体系。并采用了集值统计的方法对预选指标集进行了指标筛选,得出了企业战略框架下企业知识管理评价体系。     

知识管理评估模型及在MATLAB上的实现

文章提出了一个基于神经网络的知识管理评估模型,介绍了它的评价原理和学习算法,并介绍了一个在MATLAB软件上实现的实例;企业可以利用该评估模型对企业知识管理的效果进行大致的评估,为企业决策层提供参考。     

Application of Bayesian Network Learning Methods to Land Resource Evaluation

0IntroductionLand resourceis the material basis of people’s existence.Land protectionis a persistent national problembecausethat it is serving national sustainable development.Moreover,land evaluation and land gradation are of great i mportance inguiding decisions onland uses andland explorations.Shortageof land resource becomes serious,which attracted the specialattention and recognitionin various countries.And so,manyscholars triedtofind novel approaches of landresource evalua-tion.Kalogir…     

云制造环境下知识资源的评价与选择

为了解决云制造环境下知识资源的选择问题，从知识资源提供方服务能力的角度，提出了一种基于知识服务能力值的选择模型.该模型从知识资源供需双方自身特性出发，从企业维、服务维、交互维三维度建立知识资源提供方服务能力评价体系，利用变精度粗糙集算法计算各评价指标的权重，利用敏感系数修正用户在实际情况下的偏好，最终求得所有候选资源的知识服务能力值；以此为依据指导云平台为用户选择最佳的知识资源供应方.实例表明，该模型能够从大量候选资源中推理出最佳的知识资源推荐给用户.