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    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/110393

    题名: Applying MQCAC and fuzzy TOPSIS to improve the unleaded gasoline quality
    作者: Chen, K. S.;Hsu, C. H.;Ouyang, L. Y.;Yang, C. M.
    日期: 2017-05-01
    上传时间: 2017-06-15 02:10:25 (UTC+8)
    出版者: A S T M International
    摘要: This study proposes a novel hybrid method that integrates a new multi-quality characteristic analysis chart (MQCAC) and a fuzzy technique for order of preference by similarity to ideal solution (fuzzy TOPSIS). First, all the data of nominal-the-best, larger-the-better, and smaller-the-better quality characteristics were transferred into new evaluation data by using a change-of-variable technique. Furthermore, a new MQCAC was developed to measure whether all the quality characteristics of a product satisfy specifications. All substandard quality characteristics were regarded as alternatives when conducting fuzzy TOPSIS analysis. Subsequently, the top priority substandard quality characteristic for improvement in light of resource requirements and the performance improvement potential under a fuzzy environment was obtained using the proposed method. Finally, a real-world case study is presented to demonstrate the practicality and feasibility of the proposed method.
    關聯: Journal of Testing and Evaluation 45(3), p.1045-1057
    DOI: 10.1520/JTE20150426
    显示于类别:[管理科學學系暨研究所] 期刊論文


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