FKM-Based Clustering Case Retrieval of the High-Rise Building Structural Intelligent Scheme Design

Firstly, the disadvantage of the traditional "hard clustering" was analyzed; and the basic principles and algorithm steps of the fuzzy clustering was presented, it can express and process the class of objects which is not clearly in nature. Secondly, the theory and cluster analysis method...

Full description

Saved in:
Bibliographic Details
Published in:Applied Mechanics and Materials Vol. 174-177; pp. 1748 - 1752
Main Authors: Liu, Shu Jun, Ou, Jin Ping, Zhang, Shi Zhong, Zhang, Shi Hai
Format: Journal Article
Language:English
Published: Zurich Trans Tech Publications Ltd 01.05.2012
Subjects:
ISBN:9783037854235, 3037854235
ISSN:1660-9336, 1662-7482, 1662-7482
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract Firstly, the disadvantage of the traditional "hard clustering" was analyzed; and the basic principles and algorithm steps of the fuzzy clustering was presented, it can express and process the class of objects which is not clearly in nature. Secondly, the theory and cluster analysis method is introduced to design high-rise structure; based on the fuzzy K-Means clustering analysis, the case retrieval method of the high-level structural intelligent design was established. Lastly, the example of engineering application was given in where the 26 projects data was used as the basis for the cluster and instance retrieval; the former 20 data is used to cluster and the last 4 data used to instance retrieval, the clustering member is k=4. Practice shows that the fuzzy k-means cluster analysis method is effective for the intelligent design of high-rise structure to obtain an instance, and opens up new ways and means for the high-rise building intelligent design.
AbstractList Firstly, the disadvantage of the traditional "hard clustering" was analyzed; and the basic principles and algorithm steps of the fuzzy clustering was presented, it can express and process the class of objects which is not clearly in nature. Secondly, the theory and cluster analysis method is introduced to design high-rise structure; based on the fuzzy K-Means clustering analysis, the case retrieval method of the high-level structural intelligent design was established. Lastly, the example of engineering application was given in where the 26 projects data was used as the basis for the cluster and instance retrieval; the former 20 data is used to cluster and the last 4 data used to instance retrieval, the clustering member is k=4. Practice shows that the fuzzy k-means cluster analysis method is effective for the intelligent design of high-rise structure to obtain an instance, and opens up new ways and means for the high-rise building intelligent design.
Author Zhang, Shi Hai
Ou, Jin Ping
Liu, Shu Jun
Zhang, Shi Zhong
Author_xml – givenname: Shu Jun
  surname: Liu
  fullname: Liu, Shu Jun
  email: lsj.6290@163.com
  organization: Changshu Institute of Technology : School of Electric and Automatic Engineering
– givenname: Jin Ping
  surname: Ou
  fullname: Ou, Jin Ping
  email: oujinping@hit.edu.cn
  organization: Dalian University of Technology : Institute of Civil Engineering and Water Conservancy
– givenname: Shi Zhong
  surname: Zhang
  fullname: Zhang, Shi Zhong
  email: 573275238@qq.com
  organization: Nanyang Institute of Technology : Architechtural Design Institute
– givenname: Shi Hai
  surname: Zhang
  fullname: Zhang, Shi Hai
  email: zshhit@vip.sina.com
  organization: Nanyang Institute of Technology : Civil Engineering College
BookMark eNqVkMtO5DAQRa2BkXgM_xCJJUpjx3bsLCE8NbSQYGZtOXal2yg4YDu0-HsceiRmy6J0S1VXt0rnAO360QNCJwQvGK7k6WazWUTjwCfXO7PwkE7PlssFEawkQswqf6B9UtdVmdtqBx01QlJMheSsonz3c4fLhtJ6Dx3E-IRxzQiT-6i7-r0sz3UEW7TDFBME51dFmwfFA6Tg4E0PxdgXaQ3FjVutyweXV-eTG-xsfExhMmkK2XTrEwyDW-Uni0ezhmcoLiC6lf-FfvZ6iHD0Tw_R36vLP-1NeXd_fdue3ZWGYp5KjY0mxGBOTQPWaFNbLGwnRG9ZTzsuWUOM5l3VN7XAjHDLjQVed7LBtseUHqLjbe5LGF8niEk9jVPw-aQijFVNwyWV2dVuXSaMMQbo1Utwzzq8K4LVDFtl2OoLtsqwVYatMuRcYtY55XKbkoL2mZpZ_3fsGzkfwdqSmA
Cites_doi 10.1109/TSMC.1971.5408605
10.1007/BF02884971
10.1016/0020-0255(95)00231-6
ContentType Journal Article
Copyright 2012 Trans Tech Publications Ltd
Copyright Trans Tech Publications Ltd. May 2012
Copyright_xml – notice: 2012 Trans Tech Publications Ltd
– notice: Copyright Trans Tech Publications Ltd. May 2012
DBID AAYXX
CITATION
7SR
7TB
8BQ
8FD
8FE
8FG
ABJCF
ABUWG
AFKRA
BENPR
BFMQW
BGLVJ
CCPQU
D1I
DWQXO
FR3
HCIFZ
JG9
KB.
KR7
L6V
M7S
PDBOC
PHGZM
PHGZT
PKEHL
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
PTHSS
DOI 10.4028/www.scientific.net/AMM.174-177.1748
DatabaseName CrossRef
Engineered Materials Abstracts
Mechanical & Transportation Engineering Abstracts
METADEX
Technology Research Database
ProQuest SciTech Collection
ProQuest Technology Collection
Materials Science & Engineering Collection
ProQuest Central (Alumni)
ProQuest Central UK/Ireland
ProQuest Central
Continental Europe Database
ProQuest Technology Collection
ProQuest One
ProQuest Materials Science Collection
ProQuest Central Korea
Engineering Research Database
SciTech Premium Collection
Materials Research Database
Materials Science Database
Civil Engineering Abstracts
ProQuest Engineering Collection
Engineering Database
Materials Science Collection
Proquest Central Premium
ProQuest One Academic (New)
ProQuest One Academic Middle East (New)
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Applied & Life Sciences
ProQuest One Academic (retired)
ProQuest One Academic UKI Edition
ProQuest Central China
Engineering Collection
DatabaseTitle CrossRef
Materials Research Database
Technology Collection
Technology Research Database
ProQuest One Academic Middle East (New)
Mechanical & Transportation Engineering Abstracts
Materials Science Collection
ProQuest Central (Alumni Edition)
SciTech Premium Collection
ProQuest One Community College
ProQuest Central China
ProQuest Central
ProQuest One Applied & Life Sciences
Engineered Materials Abstracts
ProQuest Engineering Collection
ProQuest Central Korea
Materials Science Database
ProQuest Central (New)
Engineering Collection
ProQuest Materials Science Collection
Civil Engineering Abstracts
Engineering Database
ProQuest One Academic Eastern Edition
ProQuest Technology Collection
Continental Europe Database
ProQuest SciTech Collection
METADEX
ProQuest One Academic UKI Edition
Materials Science & Engineering Collection
Engineering Research Database
ProQuest One Academic
ProQuest One Academic (New)
DatabaseTitleList Materials Research Database

CrossRef
Database_xml – sequence: 1
  dbid: KB.
  name: Materials Science Database
  url: http://search.proquest.com/materialsscijournals
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISSN 1662-7482
EndPage 1752
ExternalDocumentID 3103082471
10_4028_www_scientific_net_AMM_174_177_1748
GroupedDBID .DC
4.4
6J9
8FE
8FG
ABHXD
ABJCF
ABJNI
ABUWG
ACGFO
ACGFS
ACIWK
AFFHD
AFKRA
ALMA_UNASSIGNED_HOLDINGS
BENPR
BFMQW
BGLVJ
BPHCQ
CCPQU
CZ9
D1I
DB1
DKFMR
EBS
EJD
HCIFZ
KB.
KC.
L6V
M7S
P2P
PDBOC
PHGZM
PHGZT
PQGLB
PQQKQ
PROAC
PTHSS
RNS
RTP
AAYXX
ABDNZ
ACYGS
CITATION
7SR
7TB
8BQ
8FD
DWQXO
FR3
JG9
KR7
PKEHL
PQEST
PQUKI
PRINS
ID FETCH-LOGICAL-c305t-a0ca11c053c9edcac6d07db77fd4f3b58491ca5b2f9670415d5cde56b890df033
IEDL.DBID M7S
ISBN 9783037854235
3037854235
ISICitedReferencesCount 0
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000312234600350&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 1660-9336
1662-7482
IngestDate Fri Jul 25 11:44:13 EDT 2025
Sat Nov 29 02:33:38 EST 2025
Fri Dec 05 20:29:30 EST 2025
IsPeerReviewed true
IsScholarly true
Keywords High-Rise Building
Case Retrieval
Design of the Structural Intelligent Scheme
Fuzzy K-Means Algorithm
Clustering Analysis
Language English
License https://www.scientific.net/PolicyAndEthics/PublishingPolicies
https://www.scientific.net/license/TDM_Licenser.pdf
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c305t-a0ca11c053c9edcac6d07db77fd4f3b58491ca5b2f9670415d5cde56b890df033
Notes Selected, peer reviewed papers from the 2nd International Conference on Civil Engineering, Architecture and Building Materials (CEABM 2012), May 25-27, 2012, Yantai, China
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
PQID 1442995838
PQPubID 2029177
PageCount 5
ParticipantIDs proquest_journals_1442995838
crossref_primary_10_4028_www_scientific_net_AMM_174_177_1748
transtech_journals_10_4028_www_scientific_net_AMM_174_177_1748
PublicationCentury 2000
PublicationDate 20120501
PublicationDateYYYYMMDD 2012-05-01
PublicationDate_xml – month: 05
  year: 2012
  text: 20120501
  day: 01
PublicationDecade 2010
PublicationPlace Zurich
PublicationPlace_xml – name: Zurich
PublicationTitle Applied Mechanics and Materials
PublicationYear 2012
Publisher Trans Tech Publications Ltd
Publisher_xml – name: Trans Tech Publications Ltd
References 1972966
1972967
1972970
1972971
1972968
1972969
References_xml – ident: 1972969
  doi: 10.1109/TSMC.1971.5408605
– ident: 1972967
– ident: 1972966
  doi: 10.1007/BF02884971
– ident: 1972968
– ident: 1972970
  doi: 10.1016/0020-0255(95)00231-6
– ident: 1972971
SSID ssj0064148
ssj0000800256
Score 1.8517648
Snippet Firstly, the disadvantage of the traditional "hard clustering" was analyzed; and the basic principles and algorithm steps of the fuzzy clustering was...
SourceID proquest
crossref
transtech
SourceType Aggregation Database
Index Database
Publisher
StartPage 1748
Title FKM-Based Clustering Case Retrieval of the High-Rise Building Structural Intelligent Scheme Design
URI https://www.scientific.net/AMM.174-177.1748
https://www.proquest.com/docview/1442995838
Volume 174-177
WOSCitedRecordID wos000312234600350&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVPQU
  databaseName: Continental Europe Database
  isbn: 9783037854235
  customDbUrl:
  eissn: 1662-7482
  dateEnd: 20200630
  omitProxy: false
  ssIdentifier: ssj0064148
  issn: 1660-9336
  databaseCode: BFMQW
  dateStart: 20040901
  isFulltext: true
  titleUrlDefault: https://search.proquest.com/conteurope
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Engineering Database
  isbn: 9783037854235
  customDbUrl:
  eissn: 1662-7482
  dateEnd: 20200630
  omitProxy: false
  ssIdentifier: ssj0064148
  issn: 1660-9336
  databaseCode: M7S
  dateStart: 20040901
  isFulltext: true
  titleUrlDefault: http://search.proquest.com
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Materials Science Database
  isbn: 9783037854235
  customDbUrl:
  eissn: 1662-7482
  dateEnd: 20200630
  omitProxy: false
  ssIdentifier: ssj0064148
  issn: 1660-9336
  databaseCode: KB.
  dateStart: 20040901
  isFulltext: true
  titleUrlDefault: http://search.proquest.com/materialsscijournals
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: ProQuest Central
  isbn: 9783037854235
  customDbUrl:
  eissn: 1662-7482
  dateEnd: 20200630
  omitProxy: false
  ssIdentifier: ssj0064148
  issn: 1660-9336
  databaseCode: BENPR
  dateStart: 20040901
  isFulltext: true
  titleUrlDefault: https://www.proquest.com/central
  providerName: ProQuest
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3daxQxEB9sK1UfrG0VT-uRB98k7eZ2N8mCKL2zR6XcUe4s9C3kYwMFvave6d_vTHbvwxcRfFo2gbA7M5n8Mpn8BuCtF1UZC5tz7VTNC20jdzFU3Gpvs6gyXwmfik2o8Vjf3lbXbcBt0aZVrnxictRh7ilGfobAHz0nHfJ9vP_OqWoUna62JTR2YI9YEkRK3ZuuYywJDRFXTOOZZSFSNS0hZcZxIy_prkeWK10ipigbNp7N-z68Q4-C2yudPqq5n0jpOylmcD4aUS4QF0rRU_-5rG2w6qMlLTnEx7q1bA0P_veHn8HTFrCy88bCDuFBPTuCJ1s0hsfghlcj3sflMLDB15_EvIDNbIANbJIKdqE1s3lkiDUZ5ZXwyR129duC3GyaKGyJ_oN9XhOELtkUzelbzT6lFJPncDO8-DK45G3tBu7Rgyy5zbwVwuMU91UdvPUyZCo4pWIoYu4Q9qAR2NL1YiUV0QSE0oe6lE5XWYhZnr-A3dl8Vr8EZmPhnFOxR-UDUTO68lJLZUVAbJJb0YH3K9Gb-4aiw-DWhjRnULpmozmDmjOoOYMaM0RyTprrwMlK_qadvwuzEX4HPqxVuNX_7-O_-vv4r-ExYrBek0N5Arso8voNPPS_lneLH13Y61-Mrydd2Lnqn3aTdf8GC-j8zw
linkProvider ProQuest
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1LbxMxEB5VBVE48EYECvgAJ2Sxb9sSD7UpUaM0EWqK1Jvrx1qqBEnbBBB_qr-xM95sEi6ISw-cVuuVrF3P55nP3vE3AK9dqspQmJxLK2peSBO4DV5xI51JgkicSl0sNiFGI3l8rL5swGV7FobSKlufGB21nzraI3-HxB89J_3k-3R2zqlqFP1dbUtoNLAY1L9_4ZJt9qG_h_Z9k2W9z0fdfb6oKsAdYnvOTeJMmjoEn1O1d8ZVPhHeChF8EXKLARlfz5Q2C6oSdIDdl87XZWWlSnxIaAMUXf4NpBGZiqmC4-WeTmRfpE3TRIKqSGP1rrSqEq7yvKKzJUkuZIkcpmzUf1b3t-AtejBczsk4CM15SEoXinsUO8Mh5R7xVAi6yj_D6Iobb80pxJH-61qY7N373wb4PtxdEHK208ygB7BRTx7CnTWZxkdge4Mh38Vw71n32w9SlsBm1sUGdhgLkuFsZdPAkEszypvhh6f4aHdRcJyNo0QvyZuw_lIAdc7GOF2-12wvptA8hq_X8pFPYHMyndRPgZlQWGtFyKg8IiJBKlfJSpjUI_fKTdqB962p9VkjQaJx6UZI0WhNvUKKRqRoRIpGhGgScSekdGC7tbde-KeZXhm7Ax-XkFl7_u_9P_t7_69ga_9oeKAP-qPBc7iNfDNr8kW3YROHv34BN93P-ens4mWcSwxOrhtbVx3fWR4
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=FKM-Based+Clustering+Case+Retrieval+of+the+High-Rise+Building+Structural+Intelligent+Scheme+Design&rft.jtitle=Applied+mechanics+and+materials&rft.au=Liu%2C+Shu+Jun&rft.au=Ou%2C+Jin+Ping&rft.au=Zhang%2C+Shi+Zhong&rft.au=Zhang%2C+Shi+Hai&rft.date=2012-05-01&rft.pub=Trans+Tech+Publications+Ltd&rft.issn=1660-9336&rft.eissn=1662-7482&rft.volume=174-177&rft.spage=1748&rft.epage=1752&rft_id=info:doi/10.4028%2Fwww.scientific.net%2FAMM.174-177.1748&rft.externalDocID=10_4028_www_scientific_net_AMM_174_177_1748
thumbnail_s http://cvtisr.summon.serialssolutions.com/2.0.0/image/custom?url=https%3A%2F%2Fwww.scientific.net%2FImage%2FTitleCover%2F1801%3Fwidth%3D600