Analysis of Extension Categorical Data Mining Process for the Extension Interior Designing

On the basis of extension architectonics,this paper researches the process of extension categorical data mining for extension interior design. In accordance with the theory of extension data mining,the extension categorical data mining for the extension interior design can be divided into data preparation,the operation of mining and knowledge application. The paper expatiates the main content and cohesive relations of each link,and emphatically discusses extension acquisition,analysis extension,categorical mining extension,knowledge application extension and other several core nodes that are related with data. Through the knowledge fusion of extension architectonics and data mining,the paper discusses the process of knowledge requirements with multiple classification under different mining targets. The purpose of this paper is to explore a whole categorical data mining process of interior design from extension design data to the design of knowledge discovery and extension application.

MECHANICAL PRODUCT EXTENSIVE INTELLIGENT CONCEPTUAL DESIGN

Based on extenics, an extensive functional information model(function-behavioral action-structure-environmental constraint) of the mechanical productintelligent conceptual design is developed, and the mechanism of theoretic structure solutions isproduced, the mapping relations between function-behavior and behavior-structure are analyzed. Themodel is applied to the filling material system's conceptual design to verify validity.

RHOMBUS THINKING METHOD AND ITS APPLICATION IN SCHEME DESIGN

Rhombus thinking, a new creative thinking method,is the combination of divergent thinking process and convergent thinking process,in which qualitative analysis is carried out before quantitative analysis This method tries to solve the bottle neck problem in intelligent CAD based on the extension theory The rhombus thinking method to the scheme design of new products is applied In this process, firstly, the matter element expression for the know information are set up, and then a set of matter elements are opened up by matter elements extension method; Finally,the useful information are got by appraisal method of dependent degree It has been successfully applied to the scheme design for the cutter store of machining center Theoretical and experimental results demonstrated fhat the method is much more accurate,objective and efficient than the traditional one

基于视觉销售的服装品牌延伸性设计

针对服装推广过程中市场定位、风格定位、服装廓形及风格特征之间区分日益弱化的趋势,指出服装品牌延伸性设计的重要性。从品牌的形象设计展示、产品的形象设计、服务内容设计3方面说明服装品牌延伸性设计的主要内容,分析了展示元素对服装品牌延伸性设计产生的影响及网络化视觉销售对品牌概念的延伸。说明品牌的外在表征即视觉销售的独特性已经逐渐模糊了品牌内容的区别,消费者更多的关注在品牌的符号特性上,在这种前提下品牌的视觉销售策略必然影响到品牌的生存环境。

玉米螟种群动态分级预报的物元模型及其应用

为了探索玉米螟种群动态的预测预报,作者应用了物元概念和关联函数,确定”了玉米螟种群动态分级的经典域物元和节域物元,建立了分级预报的物元模型.检验结果表明,模型的历史拟合率达100%,1995、1996两年预报,其结果与实际一致.为害虫种群动态的分级预报提供了一种新的研究方法.表2，参7。

正交法优选CPP拉伸黏度测试条件

用Rheotens拉伸流变仪测试聚丙烯流延膜(CPP)拉伸黏度的影响因素有温度、测量轮对间的距离、挤出速率、拉伸加速度,通过正交试验研究影响因素的显著性。方差分析结果表明,温度、测量轮对间的距离、拉伸加速度对拉伸黏度的影响显著,挤出速率影响不明显。确定了测试CPP拉伸黏度的合适条件,使测试结果相对平均偏差不大于20%。

机械产品方案设计的可拓本体相关网推理模型

针对复杂产品方案设计中的关联约束可拓推理问题,本研究提出了一种基于可拓本体相关网的复杂产品方案设计可拓推理模型。首先,建立了复杂产品方案设计可拓本体模型,并进行了可拓本体相关性分析;其次,通过领域知识获得产品方案设计方向,建立可拓本体特征的可拓关联函数,并基于信息模型建立可拓本体相关网;然后,给出了基于可拓本体相关网的方案设计可拓推理算法,通过进行设计方向多层级灰关联聚类分析和基于可拓本体相关网的关联度计算分析,进而获得满足设计需求的初始产品设计方案。最后,通过水轮机设计实例对文中的模型和算法进行了说明和验证分析,结果表明了模型和算法的有效性和可行性。