On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
A sequential selection process in group decision making with a linguistic assessment approach
Information Sciences—Intelligent Systems: An International Journal
Induced ordered weighted averaging operators
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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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.