The product quality improvement evaluation based on linguistic information processing

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.