Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/76001


Title: Soft computing techniques and its application in the intelligent capital compensation
Authors: Wu, Berlin
吳柏林
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
Appears in Collections:[應用數學系] 期刊論文

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