Design Mode Analysis of Pareto Solution Set for Decision-Making Support

Satoru Hiwa, Tomoyuki Hiroyasu and Mitsunori Miki

Journal of Applied Mathematics, 2014, vol. 2014, 1-15

Abstract:

Decision making in engineering design problems is challenging because they have multiple and conflicting criteria and complex correlation between design parameters. This study proposes a decision-making support methodology named design mode analysis, which consists of data clustering and principal component analysis (PCA). A design mode is indicated by the eigenvector obtained by PCA and reveals the dominant design parameters in a given dataset. The proposed method is a general framework to obtain the design modes from high-dimensional and large datasets. The effectiveness of the proposed method is verified on the conceptual design problem of the hybrid rocket engine.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnljam:520209

DOI: 10.1155/2014/520209

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