Fusion Mode and Style Based on Artificial Intelligence and Clothing Design

With the upgrading of intelligent manufacturing, industrial robots will play an important role in the garment industry. The purpose of this article was to study the pattern and style based on the integration of artificial intelligence and clothing design. In this article, the digital modeling of clo...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Mathematical problems in engineering 2021-11, Vol.2021, p.1-16
Hauptverfasser: Qiu, Jiali, Ma, Lianghua
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 16
container_issue
container_start_page 1
container_title Mathematical problems in engineering
container_volume 2021
creator Qiu, Jiali
Ma, Lianghua
description With the upgrading of intelligent manufacturing, industrial robots will play an important role in the garment industry. The purpose of this article was to study the pattern and style based on the integration of artificial intelligence and clothing design. In this article, the digital modeling of clothing design and the case analysis of intelligent clothing design are described using the method of comparative experiment. The experimental results are obtained from the analysis of fuzzy number of clothing design language evaluation, three-dimensional human body construction clothing size, clothing design elements and auxiliary functions, and the analysis of the advantages and disadvantages of clothing design system. The popular clothing sample is D4 (0.4862), which is 20% higher than other products. It can be concluded that the model proposed in this article can grasp the needs of consumers and select the right one according to the market positioning. The fabric mass production fashion brand can significantly improve the efficiency and satisfaction of the fabric selection decision-making process. It provides enough technical support and style model for intelligent clothing design.
doi_str_mv 10.1155/2021/6293539
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2600066048</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2600066048</sourcerecordid><originalsourceid>FETCH-LOGICAL-c337t-395a1e8726060ffba4c33d9b770d61419675876c78d312d1d11002dd244c3c3f3</originalsourceid><addsrcrecordid>eNp90EFPwyAUB3BiNHFOb34AEo9ax4MC7XFOpzMzHtTEG2GFTpZKJ7Qx-_aydGdPvLz88h7vj9AlkFsAzieUUJgIWjLOyiM0Ai5YxiGXx6kmNM-Ass9TdBbjhiTJoRih53kfXevxS2ss1t7gt27XWHynozU49aehc7WrnG7wwne2adza-mqgs6btvpxf43sb3dqfo5NaN9FeHN4x-pg_vM-esuXr42I2XWYVY7LLWMk12EJSQQSp65XOU9-UKymJEZBDKSQvpKhkYRhQAwYg_dYYmidYsZqN0dUwdxvan97GTm3aPvi0UqWZhAhB8iKpm0FVoY0x2Fptg_vWYaeAqH1aap-WOqSV-PXA00FG_7r_9R87E2bk</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2600066048</pqid></control><display><type>article</type><title>Fusion Mode and Style Based on Artificial Intelligence and Clothing Design</title><source>Wiley Online Library Open Access</source><source>Alma/SFX Local Collection</source><source>EZB Electronic Journals Library</source><creator>Qiu, Jiali ; Ma, Lianghua</creator><contributor>Tsai, Sang-Bing ; Sang-Bing Tsai</contributor><creatorcontrib>Qiu, Jiali ; Ma, Lianghua ; Tsai, Sang-Bing ; Sang-Bing Tsai</creatorcontrib><description>With the upgrading of intelligent manufacturing, industrial robots will play an important role in the garment industry. The purpose of this article was to study the pattern and style based on the integration of artificial intelligence and clothing design. In this article, the digital modeling of clothing design and the case analysis of intelligent clothing design are described using the method of comparative experiment. The experimental results are obtained from the analysis of fuzzy number of clothing design language evaluation, three-dimensional human body construction clothing size, clothing design elements and auxiliary functions, and the analysis of the advantages and disadvantages of clothing design system. The popular clothing sample is D4 (0.4862), which is 20% higher than other products. It can be concluded that the model proposed in this article can grasp the needs of consumers and select the right one according to the market positioning. The fabric mass production fashion brand can significantly improve the efficiency and satisfaction of the fabric selection decision-making process. It provides enough technical support and style model for intelligent clothing design.</description><identifier>ISSN: 1024-123X</identifier><identifier>EISSN: 1563-5147</identifier><identifier>DOI: 10.1155/2021/6293539</identifier><language>eng</language><publisher>New York: Hindawi</publisher><subject>Artificial intelligence ; Clothing industry ; Decision making ; Decomposition ; Design analysis ; Fuzzy systems ; Industrial robots ; Information industry ; Information technology ; Intelligent manufacturing systems ; Mass production ; Peer relationships ; Technical services</subject><ispartof>Mathematical problems in engineering, 2021-11, Vol.2021, p.1-16</ispartof><rights>Copyright © 2021 Jiali Qiu and Lianghua Ma.</rights><rights>Copyright © 2021 Jiali Qiu and Lianghua Ma. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c337t-395a1e8726060ffba4c33d9b770d61419675876c78d312d1d11002dd244c3c3f3</citedby><cites>FETCH-LOGICAL-c337t-395a1e8726060ffba4c33d9b770d61419675876c78d312d1d11002dd244c3c3f3</cites><orcidid>0000-0003-1490-2681</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><contributor>Tsai, Sang-Bing</contributor><contributor>Sang-Bing Tsai</contributor><creatorcontrib>Qiu, Jiali</creatorcontrib><creatorcontrib>Ma, Lianghua</creatorcontrib><title>Fusion Mode and Style Based on Artificial Intelligence and Clothing Design</title><title>Mathematical problems in engineering</title><description>With the upgrading of intelligent manufacturing, industrial robots will play an important role in the garment industry. The purpose of this article was to study the pattern and style based on the integration of artificial intelligence and clothing design. In this article, the digital modeling of clothing design and the case analysis of intelligent clothing design are described using the method of comparative experiment. The experimental results are obtained from the analysis of fuzzy number of clothing design language evaluation, three-dimensional human body construction clothing size, clothing design elements and auxiliary functions, and the analysis of the advantages and disadvantages of clothing design system. The popular clothing sample is D4 (0.4862), which is 20% higher than other products. It can be concluded that the model proposed in this article can grasp the needs of consumers and select the right one according to the market positioning. The fabric mass production fashion brand can significantly improve the efficiency and satisfaction of the fabric selection decision-making process. It provides enough technical support and style model for intelligent clothing design.</description><subject>Artificial intelligence</subject><subject>Clothing industry</subject><subject>Decision making</subject><subject>Decomposition</subject><subject>Design analysis</subject><subject>Fuzzy systems</subject><subject>Industrial robots</subject><subject>Information industry</subject><subject>Information technology</subject><subject>Intelligent manufacturing systems</subject><subject>Mass production</subject><subject>Peer relationships</subject><subject>Technical services</subject><issn>1024-123X</issn><issn>1563-5147</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp90EFPwyAUB3BiNHFOb34AEo9ax4MC7XFOpzMzHtTEG2GFTpZKJ7Qx-_aydGdPvLz88h7vj9AlkFsAzieUUJgIWjLOyiM0Ai5YxiGXx6kmNM-Ass9TdBbjhiTJoRih53kfXevxS2ss1t7gt27XWHynozU49aehc7WrnG7wwne2adza-mqgs6btvpxf43sb3dqfo5NaN9FeHN4x-pg_vM-esuXr42I2XWYVY7LLWMk12EJSQQSp65XOU9-UKymJEZBDKSQvpKhkYRhQAwYg_dYYmidYsZqN0dUwdxvan97GTm3aPvi0UqWZhAhB8iKpm0FVoY0x2Fptg_vWYaeAqH1aap-WOqSV-PXA00FG_7r_9R87E2bk</recordid><startdate>20211110</startdate><enddate>20211110</enddate><creator>Qiu, Jiali</creator><creator>Ma, Lianghua</creator><general>Hindawi</general><general>Hindawi Limited</general><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>KR7</scope><scope>L6V</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><orcidid>https://orcid.org/0000-0003-1490-2681</orcidid></search><sort><creationdate>20211110</creationdate><title>Fusion Mode and Style Based on Artificial Intelligence and Clothing Design</title><author>Qiu, Jiali ; Ma, Lianghua</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c337t-395a1e8726060ffba4c33d9b770d61419675876c78d312d1d11002dd244c3c3f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Artificial intelligence</topic><topic>Clothing industry</topic><topic>Decision making</topic><topic>Decomposition</topic><topic>Design analysis</topic><topic>Fuzzy systems</topic><topic>Industrial robots</topic><topic>Information industry</topic><topic>Information technology</topic><topic>Intelligent manufacturing systems</topic><topic>Mass production</topic><topic>Peer relationships</topic><topic>Technical services</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Qiu, Jiali</creatorcontrib><creatorcontrib>Ma, Lianghua</creatorcontrib><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access Journals</collection><collection>CrossRef</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Database‎ (1962 - current)</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>Middle East &amp; Africa Database</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer science database</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>ProQuest advanced technologies &amp; aerospace journals</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering collection</collection><jtitle>Mathematical problems in engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Qiu, Jiali</au><au>Ma, Lianghua</au><au>Tsai, Sang-Bing</au><au>Sang-Bing Tsai</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Fusion Mode and Style Based on Artificial Intelligence and Clothing Design</atitle><jtitle>Mathematical problems in engineering</jtitle><date>2021-11-10</date><risdate>2021</risdate><volume>2021</volume><spage>1</spage><epage>16</epage><pages>1-16</pages><issn>1024-123X</issn><eissn>1563-5147</eissn><abstract>With the upgrading of intelligent manufacturing, industrial robots will play an important role in the garment industry. The purpose of this article was to study the pattern and style based on the integration of artificial intelligence and clothing design. In this article, the digital modeling of clothing design and the case analysis of intelligent clothing design are described using the method of comparative experiment. The experimental results are obtained from the analysis of fuzzy number of clothing design language evaluation, three-dimensional human body construction clothing size, clothing design elements and auxiliary functions, and the analysis of the advantages and disadvantages of clothing design system. The popular clothing sample is D4 (0.4862), which is 20% higher than other products. It can be concluded that the model proposed in this article can grasp the needs of consumers and select the right one according to the market positioning. The fabric mass production fashion brand can significantly improve the efficiency and satisfaction of the fabric selection decision-making process. It provides enough technical support and style model for intelligent clothing design.</abstract><cop>New York</cop><pub>Hindawi</pub><doi>10.1155/2021/6293539</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0003-1490-2681</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1024-123X
ispartof Mathematical problems in engineering, 2021-11, Vol.2021, p.1-16
issn 1024-123X
1563-5147
language eng
recordid cdi_proquest_journals_2600066048
source Wiley Online Library Open Access; Alma/SFX Local Collection; EZB Electronic Journals Library
subjects Artificial intelligence
Clothing industry
Decision making
Decomposition
Design analysis
Fuzzy systems
Industrial robots
Information industry
Information technology
Intelligent manufacturing systems
Mass production
Peer relationships
Technical services
title Fusion Mode and Style Based on Artificial Intelligence and Clothing Design
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T10%3A49%3A28IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Fusion%20Mode%20and%20Style%20Based%20on%20Artificial%20Intelligence%20and%20Clothing%20Design&rft.jtitle=Mathematical%20problems%20in%20engineering&rft.au=Qiu,%20Jiali&rft.date=2021-11-10&rft.volume=2021&rft.spage=1&rft.epage=16&rft.pages=1-16&rft.issn=1024-123X&rft.eissn=1563-5147&rft_id=info:doi/10.1155/2021/6293539&rft_dat=%3Cproquest_cross%3E2600066048%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2600066048&rft_id=info:pmid/&rfr_iscdi=true