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    政大機構典藏 > 商學院 > 統計學系 > 期刊論文 >  Item 140.119/80611
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/80611


    Title: A New Measurement Method on Correlation Coefficient for Attribute Fuzzy Interval Data and Its Applications
    Authors: Cheng, Yu-Ting;Chung, Ming-Tao
    鄭宇庭
    Contributors: 統計系;資管系
    Keywords: Attribute fuzzy interval-vale;Spearmen's correlation coefficient;Attribute fuzzy interval correlation coefficient
    Date: 2014-03
    Issue Date: 2016-01-15 15:08:51 (UTC+8)
    Abstract: In general, the classical Pearson's correlation coefficient shall be applied to evaluate the relationship for two continue variable and the Spearmen correlation coefficient could be employed to measure the casual for two attribute variable. However, as the data are composed of qualitative attributed fuzzy interval values, it is hard to adopt above the traditional scheme calculation the attribute correlation coefficient. In this study, we present the simple calculation of attribute fuzzy interval correlation coefficient via the central and length of the attribute fuzzy interval observation and the attribute correlation coefficient of two variables. As such, this investigate is able to offer an improving measure of attribute fuzzy interval correlation from attribute fuzzy interval observation. Furthermore, we apply simulation study and empirical study to proof the validity of our proposal on attribute fuzzy interval correlation coefficient using data via the adult population survey (APS) of the global entrepreneurship monitor (GEM) in Taiwan.
    Relation: International Journal of Intelligent Technologies & Applied Statistics, 7(1), 27-36
    Data Type: article
    DOI 連結: http://dx.doi.org/10.6148/IJITAS.2014.0701.03
    DOI: 10.6148/IJITAS.2014.0701.03
    Appears in Collections:[統計學系] 期刊論文

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