A proposal for a defuzzification strategy by the concept of sensitivity analysis
Fuzzy Sets and Systems
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy sets, fuzzy logic, applications
Fuzzy sets, fuzzy logic, applications
Defuzzification: criteria and classification
Fuzzy Sets and Systems
Fuzzy Mathematical Models in Engineering and Management Science
Fuzzy Mathematical Models in Engineering and Management Science
Coplanarity analysis and validation of PBGA and T2-BGA packages
Finite Elements in Analysis and Design
Analysis of linear systems with fuzzy parametric uncertainty
Fuzzy Sets and Systems - Special issue: Interfaces between fuzzy set theory and interval analysis
A framework of an intelligent quality function deployment (IQFD) for discrete assembly environment
Computers and Industrial Engineering - Special issue: Selected papers from the 25th international conference on computers & industrial engineering in New Orleans, Louisiana
A fuzzy nonlinear model for quality function deployment considering Kano's concept
Mathematical and Computer Modelling: An International Journal
A fuzzy model for exploiting quality function deployment
Mathematical and Computer Modelling: An International Journal
Engineering Applications of Artificial Intelligence
A systematic decision-making approach for the optimal product-service system planning
Expert Systems with Applications: An International Journal
Developing the index for product design communication and evaluation from emotional perspectives
Expert Systems with Applications: An International Journal
Review: Risk evaluation approaches in failure mode and effects analysis: A literature review
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Risk analysis using FMEA: Fuzzy similarity value and possibility theory based approach
Expert Systems with Applications: An International Journal
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For new product development, quality function deployment (QFD) is a useful approach to maximize customer satisfaction. The determination of the fulfillment levels of design requirements (DRs) and parts characteristics (PCs) in phases 1 and 2 is an important issue during QFD processes for new product design. Unlike the existing literature, which mainly focuses on the DRs, this paper proposes fuzzy nonlinear programming models based on Kano's concept to determine the fulfillment levels of PCs with the aim of achieving the determined contribution levels of DRs in phase 1 for customer satisfaction. In addition, to deal with the design risk, this study incorporates failure modes and effects analysis (FMEA) into QFD processes, and treats it as the constraint factor in the models. To cope with the vague nature of product development processes, fuzzy approaches are used for both FMEA and QFD. The applicability of the proposed models in practice is demonstrated with a numerical example.