An approach to determining garment sizes with fuzzy logic | EAI Endorsed Transactions on Sustainable Manufacturing and Renewable Energy

<!DOCTYPE html> <html lang="en-US" xml:lang="en-US"> <head> <meta charset="utf-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title> An approach to determining garment sizes with fuzzy logic | EAI Endorsed Transactions on Sustainable Manufacturing and Renewable Energy </title> <link rel="icon" href="https://publications.eai.eu/public/journals/20/favicon_en_US.png"> <meta name="generator" content="Open Journal Systems 3.3.0.18"> <meta name="og:site_name" content="EAI Endorsed Transactions on Sustainable Manufacturing and Renewable Energy"/> <meta name="og:type" content="article"/> <meta name="og:title" content="An approach to determining garment sizes with fuzzy logic"/> <meta name="og:description" content="This paper introduces a method for determining men's trousers sizes using a fuzzy logic technique. The Sugeno model is employed in a MISO fuzzy system with three inputs and one output. The process begins by choosing primary dimensions from the size chart, specifically one horizontal and one vertical dimension, followed by defining the value ranges for the membership functions. The model results, based on a size chart that includes six different dimensions. In this study, waist girth and outseam are selected as the primary dimensions, acting as input variables for the simulation model. Fuzzy logic is utilized to determine the size based on the Min-Max rule, with the IF-THEN structure effectively implementing commands within this model. The result of this process is an optimal size selection that aligns more accurately with the individual's body measurements. Moreover, the application of fuzzy logic significantly reduces the time required for size determination compared to traditional methods. This approach offers an alternative method for size selection, one that accounts for the inherent variability in body measurements, thus providing a more tailored and accurate fit for consumers. The study underscores the potential of fuzzy logic to enhance the efficiency and effectiveness of garment sizing systems, offering a promising solution to the challenges posed by standardized sizing methods. "/> <meta name="og:url" content="https://publications.eai.eu/index.php/sumare/article/view/7136"/> <meta name="og:locale" content="en_US"/> <meta name="og:image" content=""/> <meta name="article:published_time" content="2024-10-03"/> <meta name="article:tag" content="Size chart"/> <meta name="article:tag" content="Fuzzy logic"/> <meta name="article:tag" content="Primary Dimension"/> <meta name="article:tag" content="Trousers"/> <meta name="article:tag" content="Model"/> <meta name="article:tag" content="Garment"/> <meta name="article:tag" content="Trousers length"/> <meta name="article:tag" content="Waist girth"/> <link rel="schema.DC" href="http://purl.org/dc/elements/1.1/" /> <meta name="DC.Creator.PersonalName" content="Mong Hien Nguyen"/> <meta name="DC.Creator.PersonalName" content="Minh Duong Nguyen"/> <meta name="DC.Creator.PersonalName" content="Mau Tung Nguyen"/> <meta name="DC.Date.created" scheme="ISO8601" content="2024-10-03"/> <meta name="DC.Date.dateSubmitted" scheme="ISO8601" content="2024-08-30"/> <meta name="DC.Date.issued" scheme="ISO8601" content="2024-10-03"/> <meta name="DC.Date.modified" scheme="ISO8601" content="2024-10-03"/> <meta name="DC.Description" xml:lang="en" content="This paper introduces a method for determining men's trousers sizes using a fuzzy logic technique. The Sugeno model is employed in a MISO fuzzy system with three inputs and one output. The process begins by choosing primary dimensions from the size chart, specifically one horizontal and one vertical dimension, followed by defining the value ranges for the membership functions. The model results, based on a size chart that includes six different dimensions. In this study, waist girth and outseam are selected as the primary dimensions, acting as input variables for the simulation model. Fuzzy logic is utilized to determine the size based on the Min-Max rule, with the IF-THEN structure effectively implementing commands within this model. The result of this process is an optimal size selection that aligns more accurately with the individual's body measurements. Moreover, the application of fuzzy logic significantly reduces the time required for size determination compared to traditional methods. This approach offers an alternative method for size selection, one that accounts for the inherent variability in body measurements, thus providing a more tailored and accurate fit for consumers. The study underscores the potential of fuzzy logic to enhance the efficiency and effectiveness of garment sizing systems, offering a promising solution to the challenges posed by standardized sizing methods.&nbsp;"/> <meta name="DC.Format" scheme="IMT" content="application/pdf"/> <meta name="DC.Identifier" content="7136"/> <meta name="DC.Identifier.URI" content="https://publications.eai.eu/index.php/sumare/article/view/7136"/> <meta name="DC.Language" scheme="ISO639-1" content="en"/> <meta name="DC.Rights" content="Copyright (c) 2024 Mong Hien Nguyen"/> <meta name="DC.Rights" content="https://creativecommons.org/licenses/by-nc-sa/4.0"/> <meta name="DC.Source" content="EAI Endorsed Transactions on Sustainable Manufacturing and Renewable Energy"/> <meta name="DC.Source.Issue" content="1"/> <meta name="DC.Source.Volume" content="1"/> <meta name="DC.Source.URI" content="https://publications.eai.eu/index.php/sumare"/> <meta name="DC.Subject" xml:lang="en" content="Waist girth"/> <meta name="DC.Title" content="An approach to determining garment sizes with fuzzy logic"/> <meta name="DC.Type" content="Text.Serial.Journal"/> <meta name="DC.Type.articleType" content="Research articles"/> <meta name="gs_meta_revision" content="1.1"/> <meta name="citation_journal_title" content="EAI Endorsed Transactions on Sustainable Manufacturing and Renewable Energy"/> <meta name="citation_journal_abbrev" content="EAI Endorsed Sust Man Ren Energy"/> <meta name="citation_author" content="Mong Hien Nguyen"/> <meta name="citation_author_institution" content="Vietnam National University Ho Chi Minh City "/> <meta name="citation_author" content="Minh Duong Nguyen"/> <meta name="citation_author_institution" content="Vietnam National University, Hanoi "/> <meta name="citation_author" content="Mau Tung Nguyen"/> <meta name="citation_author_institution" content="Industrial University of Ho Chi Minh City "/> <meta name="citation_title" content="An approach to determining garment sizes with fuzzy logic"/> <meta name="citation_language" content="en"/> <meta name="citation_date" content="2024/10/03"/> <meta name="citation_volume" content="1"/> <meta name="citation_issue" content="1"/> <meta name="citation_abstract_html_url" content="https://publications.eai.eu/index.php/sumare/article/view/7136"/> <meta name="citation_keywords" xml:lang="en" content="Size chart"/> <meta name="citation_keywords" xml:lang="en" content="Fuzzy logic"/> <meta name="citation_keywords" xml:lang="en" content="Primary Dimension"/> <meta name="citation_keywords" xml:lang="en" content="Trousers"/> <meta name="citation_keywords" xml:lang="en" content="Model"/> <meta name="citation_keywords" xml:lang="en" content="Garment"/> <meta name="citation_keywords" xml:lang="en" content="Trousers length"/> <meta name="citation_keywords" xml:lang="en" content="Waist girth"/> <meta name="citation_pdf_url" content="https://publications.eai.eu/index.php/sumare/article/download/7136/3419"/> <meta name="citation_reference" content="[1] Simone M., Andreas S., Anke K., Christine L., Sizing and fit for plus-size men and women wear. 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class="cmp_breadcrumbs" role="navigation" aria-label="You are here:"> <ol> <li> <a href="https://publications.eai.eu/index.php/sumare/index"> Home </a> <span class="separator">/</span> </li> <li> <a href="https://publications.eai.eu/index.php/sumare/issue/archive"> Archives </a> <span class="separator">/</span> </li> <li> <a href="https://publications.eai.eu/index.php/sumare/issue/view/436"> Vol. 1 No. 1 (2024): EAI Endorsed Transactions on Sustainable Manufacturing and Renewable Energy </a> <span class="separator">/</span> </li> <li class="current" aria-current="page"> <span aria-current="page"> Research articles </span> </li> </ol> </nav> <article class="obj_article_details"> <h1 class="page_title"> An approach to determining garment sizes with fuzzy logic </h1> <div class="row"> <div class="main_entry"> <section class="item authors"> <h2 class="pkp_screen_reader">Authors</h2> <ul class="authors"> <li> <span class="name"> Mong Hien Nguyen </span> <span class="affiliation"> Vietnam National University Ho Chi Minh City <a href="https://ror.org/00waaqh38"><?xml version="1.0" encoding="UTF-8" standalone="no"?>  <svg xmlns:i="&ns_ai;" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:cc="http://creativecommons.org/ns#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:svg="http://www.w3.org/2000/svg" xmlns="http://www.w3.org/2000/svg" xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd" xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape" version="1.1" id="Layer_1" x="0px" y="0px" viewBox="0 0 23.4225 16.696501" xml:space="preserve" sodipodi:docname="rorId.svg" inkscape:version="0.92.5 (2060ec1f9f, 2020-04-08)" width="23.422501" height="16.696501"><metadata id="metadata93"><rdf:RDF><cc:Work rdf:about=""><dc:format>image/svg+xml</dc:format><dc:type rdf:resource="http://purl.org/dc/dcmitype/StillImage" /></cc:Work></rdf:RDF></metadata><defs id="defs91" /><sodipodi:namedview pagecolor="#ffffff" bordercolor="#666666" borderopacity="1" 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The Sugeno model is employed in a MISO fuzzy system with three inputs and one output. The process begins by choosing primary dimensions from the size chart, specifically one horizontal and one vertical dimension, followed by defining the value ranges for the membership functions. The model results, based on a size chart that includes six different dimensions. In this study, waist girth and outseam are selected as the primary dimensions, acting as input variables for the simulation model. Fuzzy logic is utilized to determine the size based on the Min-Max rule, with the IF-THEN structure effectively implementing commands within this model. The result of this process is an optimal size selection that aligns more accurately with the individual's body measurements. Moreover, the application of fuzzy logic significantly reduces the time required for size determination compared to traditional methods. This approach offers an alternative method for size selection, one that accounts for the inherent variability in body measurements, thus providing a more tailored and accurate fit for consumers. The study underscores the potential of fuzzy logic to enhance the efficiency and effectiveness of garment sizing systems, offering a promising solution to the challenges posed by standardized sizing methods.</p><p> </p> </section> <section class="item references"> <h2 class="label"> References </h2> <div class="value"> <p>[1] Simone M., Andreas S., Anke K., Christine L., Sizing and fit for plus-size men and women wear. Anthropometry. 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An approach to determining garment sizes with fuzzy logic | EAI Endorsed Transactions on Sustainable Manufacturing and Renewable Energy