The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Transactions ID Number: 89-431
Full Name: Hsing-Chuan Liu
Position: Professor
Age: ON
Sex: Male
Address: No. 500, Lioufeng Rd., Wufeng, Taichung County 41354, Taiwan
Country: TAIWAN
Tel: 886-4-23384072
Tel prefix:
Fax: 886-4-23383640
E-mail address: lhc@asia.edu.tw
Other E-mails: fpan0366@yahoo.com.tw, lhc0366@gmail.com
Title of the Paper: Composed fuzzy measure of maximized L-measure and delta-measure
Authors as they appear in the Paper: Hsiang-Chuan Liu, Hsien-Chang Tsai, Yu-Du Jheng, and Tung-Sheng Liu
Email addresses of all the authors: lhc@asia.edu.tw, bihft@cc.ncue.edu.tw, doora0622@yahoo.com.tw, tommy0366@yahoo.com.tw
Number of paper pages: 10
Abstract: The well known fuzzy measures, £f-measure and P-measure, have only one formulaic solution. Two multivalent fuzzy measures with infinitely many solutions, L-measure and £_-measure, were proposed by our previous works, but the former do not include the additive measure as the latter and the latter has not so many measure solutions as the former, therefore, a composed fuzzy measure of above two measures, called -measure was proposed by our additional previous work. However, all of abovementioned fuzzy measures do not contain the largest measure, B-measure, which all not completed measures. In this paper, an improved completed fuzzy measure composed of maximized L-measure and £_-measure, denoted -measure, is proposed. For evaluating the Choquet integral regression models with our proposed fuzzy measure and other different ones, two real data experiments by using a 5-fold cross-validation mean square error (MSE) were conducted. The performances of Choquet integral re!
gression models with fuzzy measure based -measure, -measure, -measure, L-measure, £_-measure, £f-measure, and P-measure, respectively, a ridge regression model, and a multiple linear regression model are compared. Both of two experimental results show that the Choquet integral regression models with respect to our new measure based on £^-support outperforms others forecasting models.
Keywords: Lambda-measure, P-measure, Delta-measure, L-measure, composed fuzzy measure.
EXTENSION of the file: .pdf
Special (Invited) Session: An novel predicting algorithm for Thermostable Proteins based on Hurst exponent and maximized L-measure
Organizer of the Session: 629-297
How Did you learn about congress: Chin-Chun Chen, ccchen@mail.mhchcm.edu.tw, Tian-Wei Sheu, sheu@mail.ntcu.ed u.tw, Der-Bang Wu, wudb@hotmail.com
IP ADDRESS: 119.15.226.141
