Fuzzy engineering design semantics elaboration and application

Product design activities are predicated on fuzzy modelling, given that verbalising and interpreting engineering requirements are inherently fuzzy processes. The aim of this paper is to present a method for fuzzy intelligent requirement engineering from natural language to Computer-Aided Design (CAD...

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Autores principales:	Alain-Jérôme Fougères, Egon Ostrosi
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Fuzzy collaborative design Fuzzy collaborative system Natural language processing Fuzzy requirement engineering Fuzzy engineering design platform Information technology T58.5-58.64 Electronic computers. Computer science QA75.5-76.95
Acceso en línea:	https://doaj.org/article/ee80eac700d94e929bbb6ba13b3fd234
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id	oai:doaj.org-article:ee80eac700d94e929bbb6ba13b3fd234
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spelling	oai:doaj.org-article:ee80eac700d94e929bbb6ba13b3fd2342021-11-12T04:47:51ZFuzzy engineering design semantics elaboration and application2666-222110.1016/j.socl.2021.100025https://doaj.org/article/ee80eac700d94e929bbb6ba13b3fd2342021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2666222121000149https://doaj.org/toc/2666-2221Product design activities are predicated on fuzzy modelling, given that verbalising and interpreting engineering requirements are inherently fuzzy processes. The aim of this paper is to present a method for fuzzy intelligent requirement engineering from natural language to Computer-Aided Design (CAD) models. The field exploring the dynamics of computational processes from fuzzy linguistic modelling to fuzzy design modelling is complex and remains under-explored. No existing research has been identified which focuses specifically on fuzzy requirements engineering from natural language to CAD modelling. This paper seeks to address this by providing a design formalisation system based on five key principles. These principles are used to set out a computing procedure which follows a method broken up into six phases. The results of these six phases are fuzzy semantic graphs, which provide engineering requirements according to reliable design information. The approach is put into practice using the fuzzy agent-based tool developed by the authors, called F-EGEON (Fuzzy Engineering desiGn sEmantics elabOration and applicatioN). The proposed method is illustrated through an application from the automotive industry.Alain-Jérôme FougèresEgon OstrosiElsevierarticleFuzzy collaborative designFuzzy collaborative systemNatural language processingFuzzy requirement engineeringFuzzy engineering design platformInformation technologyT58.5-58.64Electronic computers. Computer scienceQA75.5-76.95ENSoft Computing Letters, Vol 3, Iss , Pp 100025- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Fuzzy collaborative design Fuzzy collaborative system Natural language processing Fuzzy requirement engineering Fuzzy engineering design platform Information technology T58.5-58.64 Electronic computers. Computer science QA75.5-76.95
spellingShingle	Fuzzy collaborative design Fuzzy collaborative system Natural language processing Fuzzy requirement engineering Fuzzy engineering design platform Information technology T58.5-58.64 Electronic computers. Computer science QA75.5-76.95 Alain-Jérôme Fougères Egon Ostrosi Fuzzy engineering design semantics elaboration and application
description	Product design activities are predicated on fuzzy modelling, given that verbalising and interpreting engineering requirements are inherently fuzzy processes. The aim of this paper is to present a method for fuzzy intelligent requirement engineering from natural language to Computer-Aided Design (CAD) models. The field exploring the dynamics of computational processes from fuzzy linguistic modelling to fuzzy design modelling is complex and remains under-explored. No existing research has been identified which focuses specifically on fuzzy requirements engineering from natural language to CAD modelling. This paper seeks to address this by providing a design formalisation system based on five key principles. These principles are used to set out a computing procedure which follows a method broken up into six phases. The results of these six phases are fuzzy semantic graphs, which provide engineering requirements according to reliable design information. The approach is put into practice using the fuzzy agent-based tool developed by the authors, called F-EGEON (Fuzzy Engineering desiGn sEmantics elabOration and applicatioN). The proposed method is illustrated through an application from the automotive industry.
format	article
author	Alain-Jérôme Fougères Egon Ostrosi
author_facet	Alain-Jérôme Fougères Egon Ostrosi
author_sort	Alain-Jérôme Fougères
title	Fuzzy engineering design semantics elaboration and application
title_short	Fuzzy engineering design semantics elaboration and application
title_full	Fuzzy engineering design semantics elaboration and application
title_fullStr	Fuzzy engineering design semantics elaboration and application
title_full_unstemmed	Fuzzy engineering design semantics elaboration and application
title_sort	fuzzy engineering design semantics elaboration and application
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/ee80eac700d94e929bbb6ba13b3fd234
work_keys_str_mv	AT alainjeromefougeres fuzzyengineeringdesignsemanticselaborationandapplication AT egonostrosi fuzzyengineeringdesignsemanticselaborationandapplication
_version_	1718431263584419840

Fuzzy engineering design semantics elaboration and application

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