Quality function deployment (QFD) is a customer-oriented tool that aims to meet the customer needs, and the determination of the relative importance of customer needs is the key step of QFD. Due to ...the imprecision and vagueness of peoplepsilas perception, the 2-tuple linguistic model is introduced in QFD. The linguistic information is transformed and aggregated in the form of the 2-tuple linguistic and the TOWA operator is selected to do the exploitation and get the basic relative importance of customer needs. Furthermore, entropy method is introduced to do the competitive analysis, and the final importance ratings are determined jointly by the basic relative importance and the relative competitive ratings. At last, an example is used to illustrate the steps of the new method.
The product continual quality improvement is the effective approach for the enterprise to enhance its product competitiveness. This paper introduces a systematic method based on linguistic ...information processing to evaluate product quality improvement. Firstly, a quality improvement structure model is built, and its evaluation index system is proposed, which is composed of five aspects such as quality stratagem, quality resources, quality capability, and customers' value and quality economics. The weights of evaluation indexes are decided by using the analytic hierarchy process approach. Secondly, the linguistic information from evaluation is transformed into two-tuple linguistic information representation, and the linguistic information of multi-attribute is aggregated to obtain evaluation outcome of the quality improvement at various periods. Thirdly, according recognition degree to the present data from decision-makers, the weights of time are determined with entropy method, and T-TOWA, aggregation operators based on sequential characteristic linguistic information are proposed, and the systematic evaluation result is reached. Finally, an example is shown to illustrate above method.
