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An approach to the analysis of design concepts using the rough set theory

Published online by Cambridge University Press:  07 June 2005

D. ALISANTOSO ,
L.P. KHOO  and
I.B.H. LEE
D. ALISANTOSO
Affiliation:
School of Mechanical and Production Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798
L.P. KHOO
Affiliation:
School of Mechanical and Production Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798
I.B.H. LEE
Affiliation:
SIMTech Institute of Manufacturing Technology, 72 Nanyang Drive, Singapore 638075
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Abstract

This paper describes an approach to the analysis of design concepts (DCs) using the rough set theory. The proposed approach attempts to extract design knowledge from past designs, and used the knowledge obtained to perform DC–capability mapping in a dynamic design evolution environment. The mapping enables designers to estimate the feasibility of a DC to meet stipulated design specifications. The proposed approach encompasses two algorithms, namely, the dissimilar objects algorithm and the attribute decomposition algorithm, to deal with an information system with unavailable information and multidecision attributes, respectively. The details of these algorithms are presented. A case study on the design of vacuum cleaners is used to illustrate the capability of the proposed approach.

Keywords

Design CapabilityDesign Concept GenerationRough Set TheoryRules Extraction
Type
Research Article
Information
AI EDAM , Volume 18 , Issue 4 , November 2004 , pp. 343 - 355
Copyright
© 2004 Cambridge University Press

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