Abstract
Customer participation is common in cooperative design, which facilitates the understanding and addressing of customers’ requirements. Case-based Reasoning (CBR) is an effective method for quickly finding cases that may address customers’ requirements. The challenges for applying CBR to fulfill customers’ requirements at an early design stage include the complexity of requirements representation, the conflicts between different requirements, and the development of similarity measures for retrieval. This paper presents our work on the representation of both qualitative and quantitative requirements on product performance on the basis of fuzzy matter-element. On that basis, a similarity measure is developed using the side-distance in extension theory, to achieve accurate retrieval and effective conflict resolution. A case study of a screw air compressor is used to evaluate the proposed description method and the similarity measure. It is shown that the proposed methods are viable and effectively address the conflict resolution issue.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Hou, J.M., Su, C., Liang, S., et al.: Fuzzy Case-based Reasoning for Conflict Resolution in Collaborative Design. In: ISECS International Colloquium on Computing, Communication, Control, and Management, vol. 2, pp. 233–237. IEEE Press, Guangzhou (2008)
Chang, P.C., Lai, C.Y.: A hybrid system combining self-organizing maps with case-based reasoning in wholesaler’s new-release book forecasting. Expert Systems with Applications 29, 183–192 (2005)
Sheng, B.Y., Lin, Z.J., Ding, Y.F., et al.: Rough Set-based Conflict Resolution Case Reasoning in Collaborative Design. Computer Integrated Manufacturing Systems 12(12), 1952–1957 (2006)
Huang, G., Bin, S., Halevi, G.: Product Platform Identification and Development for Mass Customization. Annals of the CIRP 52(1), 117–120 (2003)
Fu, X.J., Li, S.P.: Product Similarity Reasoning: a Description Logic Approach. Journal of Computer-Aided Design & Computer Graphics 18(4), 568–573 (2006)
Kwong, C.K., Bai, H.: A fuzzy AHP approach to the determination of importance weights of customer requirements in quality function deployment. Journal of Intelligent Manufacturing 13(5), 367–377 (2002)
Cai, W., Yang, C.Y.: Extension engineering. Science Press, Beijing (2007)
Fung, C.P.: Manufacturing process optimization for wear property of fiber-reinforced polybutylene terephthalate composites with grey relational analysis. Wear 254(3-4), 298–306 (2003)
Zhao, Y.W., Su, N., Zhang, F., et al.: Configuration Design Method for Product Family Based on Extension Case Reasoning. Chinese Journal of Mechanical Engineering 46(15), 146–154 (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhao, Y., Wang, H., Hong, H., Chen, J. (2012). Cased-Based Reasoning Based on Extension Theory for Conflict Resolution in Cooperative Design. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2012. Lecture Notes in Computer Science, vol 7467. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32609-7_18
Download citation
DOI: https://doi.org/10.1007/978-3-642-32609-7_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32608-0
Online ISBN: 978-3-642-32609-7
eBook Packages: Computer ScienceComputer Science (R0)