A COMPARISON ON CHOQUET INTEGRAL WITH RESPECT TO DIFFERENT INFORMATION-BASED FUZZY MEASURES

被引：0

作者：

Chang, Horng-Jinh ^{[1
]}

Liu, Hsiang-Chuan ^{[2
]}

Tseng, Shang-Wen ^{[3
]}

Chang, Fengming M. ^{[4
]}

机构：

[1] Asia Univ, Dept Business Adm, Wufeng, Taiwan

[2] Univ Asia, Dept Bioinformat, Wufeng, Taiwan

[3] Univ Asia, Dept Comp Sci & Informat Engn, Wufeng, Taiwan

[4] Univ Asia, Dept Informat Sci & Appl, Wufeng, Taiwan

来源：

PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-6 | 2009年

关键词：

E-measure; C-measure; M-measure; Choquet integral; Choquet integral regression model;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, for grouped data, three kinds of the Choquet integral regression models with fuzzy measures based on joint entropy, complexity and multiple mutual information is considered. The above three fuzzy measures are called, E-measure, C-measure and M-measure, respectively. For evaluating the Choquet integral regression models with these three information-based fuzzy measures, a real grouped data experiment by using a 5-fold cross validation accuracy is conducted. The performances of the Choquet integral regression models based on these three fuzzy measures, respectively, and the traditional multiple linear regression model are compared. Experimental result shows that the Choquet integral regression model based on our proposed M-measure has the best performance and it outperforms the Choquet integral regression model based on our previous proposed C-measure.

引用

页码：3161 / +

页数：4

共 9 条

[1]

[Anonymous], 1992, Fuzzy measure theory

[2]

[Anonymous], 2008 INT C MACH LEAR

[3]

CALVO T, 2001, FUZZINESS SOFT COMPU, V97, P1

[4]

Choquet G., 1954, Ann. Inst. Fourier, V5, P131, DOI DOI 10.5802/AIF.53

[5]

KOJADINOVIC I, 2004, EUR J OPER RES, V155, P271

[6]

Scott D. W., 1992, MULTIVARIATE DENSITY

[7] Applying a complexity-based Choquet integral to evaluate students' performance [J].

Shieh, Jiunn-I ;

Wu, Hsin-Hung ;

Liu, Hsiang-Chuan .

EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (03) :5100-5106

[8]

Sugeno M., 1974, Theory of fuzzy integrals and its applications

[9]

YU K, 2001, P 2 INT WORKSH MAN I

← 1 →