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    政大機構典藏 > 理學院 > 應用數學系 > 期刊論文 >  Item 140.119/76001
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/76001

    Title: Soft computing techniques and its application in the intelligent capital compensation
    Authors: Wu, Berlin
    Yao, K.
    Hsiao, K.C.
    Contributors: 應數系
    Keywords: Evaluation;Fuzzy statistic;Fuzzy-weighting;Human thought;Intellectual capital;Fuzzy sets;Soft computing;Uncertainty analysis;Knowledge management
    Date: 2011
    Issue Date: 2015-06-22 14:26:21 (UTC+8)
    Abstract: Measurement of the value of intellectual capital is increasingly receiving more and more attention. However, the evaluation of intellectual capital is complex, it involves many factors, such as peoples' utility (human subjective recognition) and the economic efficiency etc. that are very difficult to compute by traditional methods. In this paper we propose an integrated fuzzy evaluation procedure to measure intellectual capital. The main methods used in this research are fuzzy statistical analysis, fuzzy-weighting and fuzzy ranking. This integrated procedure is aimed at yielding appropriate and reasonable rankings and value of intellectual capital. Empirical study shows that fuzzy statistics with soft computing are more realistic and reasonable in the intellectual capital evaluation. © 2011 Springer-Verlag Berlin Heidelberg.
    Relation: Advances in Intelligent and Soft Computing, 100, 567-578
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1007/978-3-642-22833-9_69
    DOI: 10.1007/978-3-642-22833-9_69
    Appears in Collections:[應用數學系] 期刊論文

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