Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/74485
題名: Decision making of a portfolio selection model based on fuzzy statistic test
作者: Lin, P.-C.;Watada, J.;Wu, Berlin
吳柏林
貢獻者: 應數系
關鍵詞: Empirical studies; Expected return; Fuzzy statistic; Fuzzy statistics and data analysis; Interval value; Portfolio selection; Portfolio selection models; Risk investment; Intelligent systems; Optimization; Probability distributions; Soft computing; Statistical tests; Models
日期: 2012
上傳時間: 10-四月-2015
摘要: The objective of our research is to build a statistical test that can evaluate the sensitivity of a portfolio selection model with fuzzy data. The central point and radius are used to determine the portfolio selection model and we make a decision for the best return by a fuzzy statistical test. Empirical studies are presented to illustrate the risk of the portfolio selection model with interval values. We conclude that the evaluation by the fuzzy statistical test enables us to obtain a stable expected return and low risk investment with different choices based on the risk level k, which is taken for the risk level. © 2012 IEEE.
關聯: 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012
10.1109/SCIS-ISIS.2012.6505076
資料類型: conference
DOI: http://dx.doi.org/10.1109/SCIS-ISIS.2012.6505076
Appears in Collections:會議論文

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