2008
DOI: 10.1007/978-0-387-76813-7_12
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Neuro-Fuzzy Approximation of Multi-Criteria Decision-Making QFD Methodology

Abstract: Abstract:This chapter demonstrates how a neuro-fuzzy approach could produce outputs of a further-modified multi-criteria decision-making (MCDM) quality function deployment (QFD) model within the required error rate.The improved fuzzified MCDM model uses the modified S-curve membership function (MF) as stated in an earlier chapter. The smooth and flexible logistic membership function (MF) finds out fuzziness patterns in disparate level-of-satisfaction for the integrated analytic hierarchy process (AHP-QFD model… Show more

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Cited by 5 publications
(1 citation statement)
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“…35 QFD has been successfully used in Japan and the United States to specify quality attributes in relation to product customers. 36,37 It has also been used to create product conceptual design schemes to increase customer satisfaction. 38 That is, QFD is used to show the relationships between CRs with design attributes, design attributes with functional behavior, and functional behavior with manufacturing processes.…”
Section: Literature Backgroundmentioning
confidence: 99%
“…35 QFD has been successfully used in Japan and the United States to specify quality attributes in relation to product customers. 36,37 It has also been used to create product conceptual design schemes to increase customer satisfaction. 38 That is, QFD is used to show the relationships between CRs with design attributes, design attributes with functional behavior, and functional behavior with manufacturing processes.…”
Section: Literature Backgroundmentioning
confidence: 99%