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

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 c...

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Main Authors: Satoru Hiwa, Tomoyuki Hiroyasu, Mitsunori Miki
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2014/520209
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author Satoru Hiwa
Tomoyuki Hiroyasu
Mitsunori Miki
author_facet Satoru Hiwa
Tomoyuki Hiroyasu
Mitsunori Miki
author_sort Satoru Hiwa
collection DOAJ
description 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.
format Article
id doaj-art-990a84e2d4c241d7ae81fb5ec3923d53
institution Kabale University
issn 1110-757X
1687-0042
language English
publishDate 2014-01-01
publisher Wiley
record_format Article
series Journal of Applied Mathematics
spelling doaj-art-990a84e2d4c241d7ae81fb5ec3923d532025-02-03T05:45:14ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/520209520209Design Mode Analysis of Pareto Solution Set for Decision-Making SupportSatoru Hiwa0Tomoyuki Hiroyasu1Mitsunori Miki2Graduate School of Life and Medical Sciences, Doshisha University, Kyoto 610-0394, JapanFaculty of Life and Medical Sciences, Doshisha University, Kyoto 610-0394, JapanFaculty of Science and Engineering, Doshisha University, Kyoto 610-0394, JapanDecision 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.http://dx.doi.org/10.1155/2014/520209
spellingShingle Satoru Hiwa
Tomoyuki Hiroyasu
Mitsunori Miki
Design Mode Analysis of Pareto Solution Set for Decision-Making Support
Journal of Applied Mathematics
title Design Mode Analysis of Pareto Solution Set for Decision-Making Support
title_full Design Mode Analysis of Pareto Solution Set for Decision-Making Support
title_fullStr Design Mode Analysis of Pareto Solution Set for Decision-Making Support
title_full_unstemmed Design Mode Analysis of Pareto Solution Set for Decision-Making Support
title_short Design Mode Analysis of Pareto Solution Set for Decision-Making Support
title_sort design mode analysis of pareto solution set for decision making support
url http://dx.doi.org/10.1155/2014/520209
work_keys_str_mv AT satoruhiwa designmodeanalysisofparetosolutionsetfordecisionmakingsupport
AT tomoyukihiroyasu designmodeanalysisofparetosolutionsetfordecisionmakingsupport
AT mitsunorimiki designmodeanalysisofparetosolutionsetfordecisionmakingsupport