Apparel sizing using trimmed PAM and OWA operators
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Other documents of the author: Ibáñez Gual, Maria Victoria; Epifanio, Irene; Simó, Amelia; Vinué Visús, Guillermo; Alemany Mut, Sandra; Domingo Esteve, Juan de Mata; Ayala Gallego, Guillermo
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comunitat-uji-handle2:10234/7037
comunitat-uji-handle3:10234/8635
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Title
Apparel sizing using trimmed PAM and OWA operatorsAuthor (s)
Date
2012-09Publisher
ElsevierType
info:eu-repo/semantics/articlePublisher version
http://www.sciencedirect.com/science/article/pii/S0957417412003909Version
info:eu-repo/semantics/sumittedVersionSubject
Abstract
This paper is concerned with apparel sizing system design. One of the most important issues in the apparel
development process is to define a sizing system that provides a good fit to the majority of the population.
A ... [+]
This paper is concerned with apparel sizing system design. One of the most important issues in the apparel
development process is to define a sizing system that provides a good fit to the majority of the population.
A sizing system classifies a specific population into homogeneous subgroups based on some key
body dimensions. Standard sizing systems range linearly from very small to very large. However, anthropometric
measures do not grow linearly with size, so they can not accommodate all body types. It is
important to determine each class in the sizing system based on a real prototype that is as representative
as possible of each class. In this paper we propose a methodology to develop an efficient apparel sizing
system based on clustering techniques jointly with OWA operators. Our approach is a natural extension
and improvement of the methodology proposed by McCulloch, Paal, and Ashdown (1998), and we apply
it to the anthropometric database obtained from a anthropometric survey of the Spanish female population,
performed during 2006. [-]
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Expert Systems with Applications, v.39, n. 12 (September 2012)Rights
http://rightsstatements.org/vocab/CNE/1.0/
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
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- MAT_Articles [751]