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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/16623


    Title: Item Relational Structure Algorithm Based on Empirical distribution Critical Value
    Authors: 劉湘川;Liu, Hsiang-Chuan;Wu, Shih-Neng;Chen, Chin-Chun
    Contributors: 生物與醫學資訊學系
    Keywords: ALGORITHMS;SOFTWARE architecture;DISTRIBUTION (Probability theory);COMPUTER software;COMPUTER software development;MATHEMATICAL analysis;STOCHASTIC orders;STATISTICS
    Date: 2010
    Issue Date: 2012-11-23 17:15:12 (UTC+8)
    Abstract: Takeya's item relational structure theory is a well-known ordering algorithm. However, its threshold limit value is a fixed value, lacking of statistical meaning, In this paper, the authors provide an improved threshold limit value by using the empirical distribution critical value of all the values of the relational structure indices between any two items, it is more sensitive and effective than the traditional fixed threshold for comparing the ordering relation of any two items. A computer program is developed for the proposed method. A Mathematics example is also provided in this paper to illustrate the advantages of the proposed methods.
    Relation: 2010 international conference on frontiers of manufacturing and design science
    Appears in Collections:[生物資訊與醫學工程學系 ] 期刊論文

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