On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
k-order additive discrete fuzzy measures and their representation
Fuzzy Sets and Systems - Special issue on fuzzy measures and integrals
Computers and Operations Research
Information Sciences—Informatics and Computer Science: An International Journal
Decision consolidation: criteria weight determination using multiple preference formats
Decision Support Systems
International Journal of Intelligent Systems
Group decision making to better respond customer needs in software development
Computers and Industrial Engineering
Choquet integral based aggregation approach to software development risk assessment
Information Sciences: an International Journal
A new incomplete preference relations based approach to quality function deployment
Information Sciences: an International Journal
An integrated linguistic-based group decision-making approach for quality function deployment
Expert Systems with Applications: An International Journal
The Green Quality Function Deployment Method for Business Management
Journal of Integrated Design & Process Science
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Quality function deployment (QFD) is a well-known planning methodology for translating customer needs into relevant design and production requirements. The intent of applying QFD is to incorporate the voice of the customer into the various phases of the product development cycle for a new product, or a new version of an existing product. The traditional QFD structure requires individuals to express their preferences in a restricted scale without exceptions. In practice, people contributing to the process tend generally to give information about their personal preferences in many different ways, numerically or linguistically, depending on their background. Moreover, collaborative decision-making is not an emphasized issue in QFD even though it requires the involvement of several people. In this study, the QFD methodology is extended by introducing a new group decision-making approach that takes into account multiple preference formats and fusing different expressions into one uniform group decision by means of fuzzy set theory. Moreover, a benchmarking procedure based on the Choquet integral is proposed to rate competing systems and find which dimensions need improvement.