Axiomatic design principles under fuzzy environment

Axiomatic design gives a design map to designers in order to establish a scientific basic for design and to improve design activities. In the Axiomatic Approach, the relationship between functional requirements and design parameters has been defined by 0 or 1. This definition, sometimes, restrict de...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Cebi, S., Kahrman, C.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 417
container_issue
container_start_page 411
container_title
container_volume 1
creator Cebi, S.
Kahrman, C.
description Axiomatic design gives a design map to designers in order to establish a scientific basic for design and to improve design activities. In the Axiomatic Approach, the relationship between functional requirements and design parameters has been defined by 0 or 1. This definition, sometimes, restrict designers under the situation that there are incomplete information or uncertainty. In this study, the use of the axiomatic design principles is discussed under fuzzy environment. New formulas are presented to calculate independence of the design. Moreover, the usability of the methodology is given by a numerical example in this study. Proposed methodology provides the designers to explain the relationship between FRs and DPs in linguistic form.
doi_str_mv 10.1109/ISKE.2008.4730965
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_4730965</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>4730965</ieee_id><sourcerecordid>4730965</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-994908227c262a863101c7707ffff6759b2d1be8db3d105efac5ac4591c18df33</originalsourceid><addsrcrecordid>eNo1j91Kw0AUhFekoK15APEmL5B4zv5k91yWUrVY8EK9Lpvdjaw025KkYvv0RqzfzTAwDDOM3SKUiED3q9fnZckBTCm1AKrUBZui5FJyJK0vWUba_PsKJ2z6myVAbvCKZX3_CSOClJR0zcT8O-5aO0SX-9DHj5Tvu5hc3G9Dnx-SD13eHE6nYx7SV-x2qQ1puGGTxm77kJ11xt4flm-Lp2L98rhazNdFRK2GgkgSGM614xW3phII6LQG3YxUWlHNPdbB-Fp4BBUa65R1UhE6NL4RYsbu_npjCGEz7mptd9ycT4sf8i1IPg</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Axiomatic design principles under fuzzy environment</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Cebi, S. ; Kahrman, C.</creator><creatorcontrib>Cebi, S. ; Kahrman, C.</creatorcontrib><description>Axiomatic design gives a design map to designers in order to establish a scientific basic for design and to improve design activities. In the Axiomatic Approach, the relationship between functional requirements and design parameters has been defined by 0 or 1. This definition, sometimes, restrict designers under the situation that there are incomplete information or uncertainty. In this study, the use of the axiomatic design principles is discussed under fuzzy environment. New formulas are presented to calculate independence of the design. Moreover, the usability of the methodology is given by a numerical example in this study. Proposed methodology provides the designers to explain the relationship between FRs and DPs in linguistic form.</description><identifier>ISBN: 9781424421961</identifier><identifier>ISBN: 1424421969</identifier><identifier>EISBN: 1424421977</identifier><identifier>EISBN: 9781424421978</identifier><identifier>DOI: 10.1109/ISKE.2008.4730965</identifier><identifier>LCCN: 2008901281</identifier><language>eng</language><publisher>IEEE</publisher><subject>Application software ; Decision making ; Design engineering ; Design methodology ; Industrial engineering ; Intelligent systems ; Knowledge engineering ; Process design ; Product design ; Uncertainty</subject><ispartof>2008 3rd International Conference on Intelligent System and Knowledge Engineering, 2008, Vol.1, p.411-417</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4730965$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2056,27923,54918</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4730965$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Cebi, S.</creatorcontrib><creatorcontrib>Kahrman, C.</creatorcontrib><title>Axiomatic design principles under fuzzy environment</title><title>2008 3rd International Conference on Intelligent System and Knowledge Engineering</title><addtitle>ISKE</addtitle><description>Axiomatic design gives a design map to designers in order to establish a scientific basic for design and to improve design activities. In the Axiomatic Approach, the relationship between functional requirements and design parameters has been defined by 0 or 1. This definition, sometimes, restrict designers under the situation that there are incomplete information or uncertainty. In this study, the use of the axiomatic design principles is discussed under fuzzy environment. New formulas are presented to calculate independence of the design. Moreover, the usability of the methodology is given by a numerical example in this study. Proposed methodology provides the designers to explain the relationship between FRs and DPs in linguistic form.</description><subject>Application software</subject><subject>Decision making</subject><subject>Design engineering</subject><subject>Design methodology</subject><subject>Industrial engineering</subject><subject>Intelligent systems</subject><subject>Knowledge engineering</subject><subject>Process design</subject><subject>Product design</subject><subject>Uncertainty</subject><isbn>9781424421961</isbn><isbn>1424421969</isbn><isbn>1424421977</isbn><isbn>9781424421978</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1j91Kw0AUhFekoK15APEmL5B4zv5k91yWUrVY8EK9Lpvdjaw025KkYvv0RqzfzTAwDDOM3SKUiED3q9fnZckBTCm1AKrUBZui5FJyJK0vWUba_PsKJ2z6myVAbvCKZX3_CSOClJR0zcT8O-5aO0SX-9DHj5Tvu5hc3G9Dnx-SD13eHE6nYx7SV-x2qQ1puGGTxm77kJ11xt4flm-Lp2L98rhazNdFRK2GgkgSGM614xW3phII6LQG3YxUWlHNPdbB-Fp4BBUa65R1UhE6NL4RYsbu_npjCGEz7mptd9ycT4sf8i1IPg</recordid><startdate>200811</startdate><enddate>200811</enddate><creator>Cebi, S.</creator><creator>Kahrman, C.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200811</creationdate><title>Axiomatic design principles under fuzzy environment</title><author>Cebi, S. ; Kahrman, C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-994908227c262a863101c7707ffff6759b2d1be8db3d105efac5ac4591c18df33</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Application software</topic><topic>Decision making</topic><topic>Design engineering</topic><topic>Design methodology</topic><topic>Industrial engineering</topic><topic>Intelligent systems</topic><topic>Knowledge engineering</topic><topic>Process design</topic><topic>Product design</topic><topic>Uncertainty</topic><toplevel>online_resources</toplevel><creatorcontrib>Cebi, S.</creatorcontrib><creatorcontrib>Kahrman, C.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Cebi, S.</au><au>Kahrman, C.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Axiomatic design principles under fuzzy environment</atitle><btitle>2008 3rd International Conference on Intelligent System and Knowledge Engineering</btitle><stitle>ISKE</stitle><date>2008-11</date><risdate>2008</risdate><volume>1</volume><spage>411</spage><epage>417</epage><pages>411-417</pages><isbn>9781424421961</isbn><isbn>1424421969</isbn><eisbn>1424421977</eisbn><eisbn>9781424421978</eisbn><abstract>Axiomatic design gives a design map to designers in order to establish a scientific basic for design and to improve design activities. In the Axiomatic Approach, the relationship between functional requirements and design parameters has been defined by 0 or 1. This definition, sometimes, restrict designers under the situation that there are incomplete information or uncertainty. In this study, the use of the axiomatic design principles is discussed under fuzzy environment. New formulas are presented to calculate independence of the design. Moreover, the usability of the methodology is given by a numerical example in this study. Proposed methodology provides the designers to explain the relationship between FRs and DPs in linguistic form.</abstract><pub>IEEE</pub><doi>10.1109/ISKE.2008.4730965</doi><tpages>7</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISBN: 9781424421961
ispartof 2008 3rd International Conference on Intelligent System and Knowledge Engineering, 2008, Vol.1, p.411-417
issn
language eng
recordid cdi_ieee_primary_4730965
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Application software
Decision making
Design engineering
Design methodology
Industrial engineering
Intelligent systems
Knowledge engineering
Process design
Product design
Uncertainty
title Axiomatic design principles under fuzzy environment
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T15%3A13%3A12IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Axiomatic%20design%20principles%20under%20fuzzy%20environment&rft.btitle=2008%203rd%20International%20Conference%20on%20Intelligent%20System%20and%20Knowledge%20Engineering&rft.au=Cebi,%20S.&rft.date=2008-11&rft.volume=1&rft.spage=411&rft.epage=417&rft.pages=411-417&rft.isbn=9781424421961&rft.isbn_list=1424421969&rft_id=info:doi/10.1109/ISKE.2008.4730965&rft_dat=%3Cieee_6IE%3E4730965%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=1424421977&rft.eisbn_list=9781424421978&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=4730965&rfr_iscdi=true