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政大機構典藏 > 商學院 > 統計學系 > 會議論文 > Item 140.119/74655

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/74655

Title:	An integrated algorithm of Liu`s generalized Lambda-measure based Choquet integral and hurst exponent
Authors:	Liu, H.-C.;Tsai, H.-C.;Cheng, Yu-Ting;Yu, Y.-K. 鄭宇庭
Contributors:	統計系
Keywords:	Choquet integral;Fuzzy measures;Hurst exponents;L-measure;Liu`s generalized Lambda-measure Introduction;Biometrics;Integral equations;Security of data;Regression analysis
Date:	2012
Issue Date:	2015-04-17 10:55:51 (UTC+8)
Abstract:	In this paper, a novel integrated algorithm of Choquet integral with respect to Liu`s generalized Lambda-measure and Hurst exponent was proposed, it can be used for predicting the temperature of thermos table proteins on some useful physicochemical quantities of each amino symbolic sequence with different lengths. A real data set of the temperature of thermos table proteins with 5-fold cross-validation MSE is conducted, for comparing the performances of the integrated algorithm of Hurst exponent and Choquet integral regression model with respect to six measures, P-measure, ?-measure, L-measure, extensional L-measure, generalized L-measure and Liu, s generalized Lambda-measure, respectively, and two traditional regression model, multiple regression model and ridge regression model, the results show that the integrated algorithm of Hurst exponent and Choquet integral regression model with respect to Liu`s generalized Lambda-measure has the best performance. © 2012 IEEE.
Relation:	Proceedings - 2012 International Symposium on Biometrics and Security Technologies, ISBAST 2012
Data Type:	conference
DOI 連結:	http://dx.doi.org/10.1109/ISBAST.2012.32
DOI:	10.1109/ISBAST.2012.32
Appears in Collections:	[統計學系] 會議論文

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