Using Maut Based Multi-Criteria Decision Support Techniques for Integrating Expert Knowledge in Designing Fashion Oriented Products

Camargo, Mauricio; Fonteix, Christian; Koehl, Ludovic; Zeng, Xiong; Delmotte, François

doi:10.1142/9789814295062_0061

Intelligent Decision Making Systems 2009

DOI: 10.1142/9789814295062_0061

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Using Maut Based Multi-Criteria Decision Support Techniques for Integrating Expert Knowledge in Designing Fashion Oriented Products

Mauricio Camargo¹,

Christian Fonteix²,

Ludovic Koehl

et al.

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2013

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Complex data structures in product design: a sequential approach to elicit customer perceptions

Camargo

Fonteix

Delmotte

2013

IJAOM

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International audienceThe present paper proposes a new methodology to integrate expert judgement in new product development decision process. In particular, within the garment industry product evaluation data come mainly from judges or consumer panels. Treatment of aggregate data is difficult as some measures could seem to be contradictory. To deal with this issue the present paper proposes the application of a sequential fitting (SEFIT) approach to exploit information from the whole set of data. SEFIT methods, proposed originally by (Mirkin, 1990) attempt to explain the variability in the initial data (commonly defined by a sum of squares) through an additive decomposition terms in the model. In this case, data from expert's evaluation of a set of garment products, concerning six predetermined fashion themes (judge perception), are treated to determine the importance level of each criterio

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Complex data structures in product design: a sequential approach to elicit customer perceptions

Camargo

Fonteix

Delmotte

2013

IJAOM

View full text Add to dashboard Cite

show abstract

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Using Maut Based Multi-Criteria Decision Support Techniques for Integrating Expert Knowledge in Designing Fashion Oriented Products

Cited by 1 publication

References 4 publications

Complex data structures in product design: a sequential approach to elicit customer perceptions

Complex data structures in product design: a sequential approach to elicit customer perceptions

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