Abstract
ABSTRACT This research proposes an evaluation model that integrates triangular fuzzy numbers and the analytical hierarchy process to develop a fuzzy multiple-attribute decision-making (FMADM) model for key quality-performance evaluation. Using the proposed model, decision-makers can determine, in advance, critical quality elements that might significantly affect quality performance. A practical example of an electronic product has been used to illustrate the theoretical qualitative proposed evaluation model. Results demonstrate that decision-makers can use the flexibility of the proposed model by adjusting the confidence coefficient to express their degree of understanding with respect to the importance of each component. Moreover, the result of FMADM analysis is a significant contribution to quality improvement.
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