A Novel Fuzzy Methodology for Quality Function Deployment Based on TOPSIS

Abstract

Quality function deployment (QFD) is widely accepted as a product-designing tool. QFD could turn customer quality requirements into the engineering measures of a product. Ranking the importance of engineering measures according to the input data is a critical procedure in this fuzzy methodology. When the relative weights of quality requirements of customer and the relationship measures between quality requirements and engineering measures are evaluated by Interval-valued intuitionistic fuzzy sets (IVIFS), calculating the importance of each engineering measure depends on the operations between IVIFSs. With the target of prioritizing engineering measures in this fuzzy methodology, this paper presents a novel method by integrating the new aggregation operators based on the Åukasiewicz triangular norm, which is monotone with respect to the total order of IVIFS, and the TOPSISbased nonlinear-programming methodology. In addition, an application example of diesel engine design is provided to test the practicality and extensibility of the novel fuzzy methodology.