Applying OWA operator to model group behaviors in uncertain QFD

Authors:
Hong-Bin Yan;Tieju Ma;Van-Nam Huynh
Affiliations:
School of Business, East China University of Science and Technology, Shanghai, P.R. China;School of Business, East China University of Science and Technology, Shanghai, P.R. China;School of Knowledge Science, Japan Advanced Institute of Science and Technology, Nomi City, Ishikawa, Japan
Venue:
IUKM'13 Proceedings of the 2013 international conference on Integrated Uncertainty in Knowledge Modelling and Decision Making
Year:
2013

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Abstract

It is a crucial step to derive the priority order of design requirements (DRs) from customer requirements (CRs) in quality function deployment (QFD). However, it is not straightforward to prioritize DRs due to two types of uncertainties: human subjective perception and user variability. This paper proposes an OWA based group decision-making approach to uncertain QFD with an application to a flexible manufacturing system design. The proposed model performs computations solely based on the order-based semantics of linguistic labels so as to eliminate the burden of quantifying qualitative concepts in QFD. Moreover, it incorporates the importance weights of users and the concept of fuzzy majority into aggregations of fuzzy preference relations of different DRs in order to model the group behaviors in QFD. Finally, based on a quantifier-guided net flow score procedure, the proposed model derives a priority ranking with a classification of DRs into important and unimportant ones so as to provide a better decision-support to the decision-maker.