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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/99147


    Title: Combining grey relation analysis and entropy model for evaluating the operational performance: an empirical study
    Authors: Sun, Chia-chi
    Contributors: 淡江大學國際企業學系
    Keywords: Grey relational analysis;entropy;Multiple attribute decision-making;Performance evaluation
    Date: 2014-05-01
    Issue Date: 2014-10-15 14:28:50 (UTC+8)
    Publisher: Dordrecht: Springer Netherlands
    Abstract: Decision-making on operational performance evaluation is a complex multi-objective problem. Through the combination of grey relation analysis and information entropy, the evaluation results are more objective and reasonable. This paper would introduce entropy into the weighting calculation of the grey relational analysis method for improving the precision. The improved decision model was applied in four notebook computer original design manufacturer companies. The result presented the proposed method is practical and useful. Significantly, the proposed method provides more flexible and objective information in determine the weights vector of the criteria. Also the study result represented that the combined method had certain scientific and rationality. The evaluation model indicates that this method be more reasonable and easier to grasp than other methods. As a result, it is easier to popularize this evaluation method in enterprises.
    Relation: Quality & Quantity 48(3), pp.1589-1600
    DOI: 10.1007/s11135-013-9854-0
    Appears in Collections:[國際企業學系暨研究所] 期刊論文

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