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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Format: | Article |
Language: | English |
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Wiley
2014-01-01
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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 |