On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
A hybrid sales forecasting system based on clustering and decision trees
Decision Support Systems
Applying logistic regression to relevance feedback in image retrieval systems
Pattern Recognition
Sales forecasting using extreme learning machine with applications in fashion retailing
Decision Support Systems
Expert Systems with Applications: An International Journal
Optimisation of garment design using fuzzy logic and sensory evaluation techniques
Engineering Applications of Artificial Intelligence
Human Factors in Ergonomics & Manufacturing
Modeling and Simulating Bodies and Garments
Modeling and Simulating Bodies and Garments
Sizing and grading for wearable products
Computer-Aided Design
Information technology and organizational capabilities: A longitudinal study of the apparel industry
Decision Support Systems
Apparel sizing using trimmed PAM and OWA operators
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
A multivariate intelligent decision-making model for retail sales forecasting
Decision Support Systems
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This paper is concerned with the generation of optimal fit models for use in apparel design. Representative fit models or prototypes are important for defining a meaningful sizing system. However, there is no agreement among apparel manufacturers and each one has their own prototypes and size charts i.e. there is a lack of standard sizes in garments from different apparel manufacturers. We propose two algorithms based on a new hierarchical partitioning around medoids clustering method originally developed for gene expression data. We are concerned with a different application; therefore, the dissimilarity between the objects has to be different and must be designed to deal with anthropometric features. Furthermore, one of the algorithms incorporates a different rule to split the clusters, which, in our case, provides better results. Our procedures not only make it possible to obtain optimal prototypes, but also to detect outliers. These outliers should be removed before defining prototypes so that the companies' market share can be optimized. All the analyses are performed using the anthropometric database obtained from a survey of the Spanish female population.