基于GM(1,1)模型的Kano质量要素分类动态预测方法

doi:10.16381/j.cnki.issn1003-207x.2015.09.017

Abstract

Abstract: According to the lack of study on the dynamic of quality elements classification results of Kano model, a dynamic prediction method based on GM(1,1) model is proposed in this paper, combining with grey system theory's advantage in coping with irregular data. A fuzzy Kano model is designed to realize its objective classification, due to the deficiency of traditional Kano model's subjective classification. GM(1,1) is used to study the dynamic of quality elements classification of Kano model, combining with its advantage in coping with less data, poor information, high prediction accuracy. Its feasibility and validity will be tested by an empirical research in an express industry.

Key words: Kano model, quality elements classification, GM(1,1) model, express industry

CLC Number:

F274

MENG Qing-liang, HE Lin, ZHU Hui-ming, BIAN Ling-ling, ZHANG Ling. The Game Analyses on the M&A Transaction Price Decision Based on the Binomial Tree Option Model[J]. Chinese Journal of Management Science, 2015, 23(9): 139-145.

References

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The Game Analyses on the M&A Transaction Price Decision Based on the Binomial Tree Option Model

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