A Novel Method of Measuring the Similarity of Designs

This paper introduces an approach for assessing the similarity of design models based on graph representation. The aim of this work is to develop a method to query a case base of design models, which are in the form of attributed graphs containing information about function, feature and structure, and to identify existing designs with graphs similar to those for the target problem. Similarity of design models is measured by concurrently applying a feature-based similarity measure and a structure-based similarity measure. The paper presents an example to illustrate the proposed approach.

NOTE: TO READ THIS AND OTHER IPROMS 2006 PAPERS, PLEASE REGISTER FOR THE CONFERENCE.

REGISTRATION IS FREE.

CLICK here; TO REGISTER.

a pdf file
Submitted by sceyw3 on Mon, 03/07/2006 - 8:38pm.

For case representation, does everyone think graph is an appropriate way? And for the similarity measure, can anyone suggest some other approaches? Thanks.

Submitted by menmca on Thu, 13/07/2006 - 8:01pm.

What do you think the role of a function graph would be within similarity measure?

Submitted by sceyw3 on Fri, 14/07/2006 - 9:47am.

I think functions of design is usually the very first factor to consider. As they identify design by its pupose and the way it is to be used. It will reduce the work of similarity measure if designs significantly differ in functions.

Submitted by yiw on Mon, 24/07/2006 - 2:44pm.

Hi:

have you thought of widen your theory into a more general aspect and used it as a cross diciplinary tool. What i mean is a general design theory where it can be applied not just in manufacturing but all other areas such as web design and chemical design.

best regards

yi wang

Submitted by sceyw3 on Tue, 25/07/2006 - 3:34pm.

The proposed method is used in the early stage of engineering design. I think if appropriately adapted, it can also suit domains such as web design and chemical design.

Comment viewing options

Select your preferred way to display the comments and click "Save settings" to activate your changes.

User login

Captcha Image: you will need to recognize the text in it.
Please type in the letters/numbers that are shown in the image above.