International Journal of Computational Intelligence Systems

Volume 8, Issue 3, June 2015, Pages 438 - 454

An Extended Quality Function Deployment Incorporating Fuzzy Logic and GDM Under Different Preference Structures

Authors
Gülçin Büyüközkan, Gizem Cifci
Corresponding Author
Gülçin Büyüközkan
Received 2 January 2014, Accepted 8 January 2015, Available Online 1 June 2015.
DOI
10.1080/18756891.2015.1017379How to use a DOI?
Keywords
Incomplete preference relations, multiple preference formats, fuzzy sets, group decision making, house of quality, quality function deployment
Abstract

The paper proposes a fuzzy logic-based group decision making (GDM) approach, which can be used for quality function deployment (QFD) in the development of product improvement strategies. Decision makers can state their preferences in various ways, including incomplete preferences which are difficult to evaluate in a coherent way. We extend the QFD methodology by using a GDM approach which considers multiple preference formats and incomplete information. Finally, a numerical analysis for “Portable Entertainment and Game Systems” design is given to verify the feasibility of the model.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
8 - 3
Pages
438 - 454
Publication Date
2015/06/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.1080/18756891.2015.1017379How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Gülçin Büyüközkan
AU  - Gizem Cifci
PY  - 2015
DA  - 2015/06/01
TI  - An Extended Quality Function Deployment Incorporating Fuzzy Logic and GDM Under Different Preference Structures
JO  - International Journal of Computational Intelligence Systems
SP  - 438
EP  - 454
VL  - 8
IS  - 3
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2015.1017379
DO  - 10.1080/18756891.2015.1017379
ID  - Büyüközkan2015
ER  -