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

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: Hindawi Limited 2014-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2014/520209
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spelling doaj-990a84e2d4c241d7ae81fb5ec3923d532020-11-24T22:34:57ZengHindawi LimitedJournal 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
collection DOAJ
language English
format Article
sources DOAJ
author Satoru Hiwa
Tomoyuki Hiroyasu
Mitsunori Miki
spellingShingle Satoru Hiwa
Tomoyuki Hiroyasu
Mitsunori Miki
Design Mode Analysis of Pareto Solution Set for Decision-Making Support
Journal of Applied Mathematics
author_facet Satoru Hiwa
Tomoyuki Hiroyasu
Mitsunori Miki
author_sort Satoru Hiwa
title 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_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_sort design mode analysis of pareto solution set for decision-making support
publisher Hindawi Limited
series Journal of Applied Mathematics
issn 1110-757X
1687-0042
publishDate 2014-01-01
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.
url http://dx.doi.org/10.1155/2014/520209
work_keys_str_mv AT satoruhiwa designmodeanalysisofparetosolutionsetfordecisionmakingsupport
AT tomoyukihiroyasu designmodeanalysisofparetosolutionsetfordecisionmakingsupport
AT mitsunorimiki designmodeanalysisofparetosolutionsetfordecisionmakingsupport
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