The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of COMMUNICATIONS
Transactions ID Number: 19-451
Full Name: Hsiang-Chuan Liu
Position: Professor
Age: ON
Sex: Male
Address: No. 500, Lioufeng Rd. Wufeng, Taichung County 41354, Taiwan ROC
Country: TAIWAN
Tel: 886-9-37275167
Tel prefix: 886-4-23384072
Fax: 886-4-233843640
E-mail address: lhc@asia.edu.tw
Other E-mails: fpan0366@yahoo.com.tw
Title of the Paper: Choquet Integral with Respect to Generalized Signed Rho-Measure
Authors as they appear in the Paper: Hsiang-Chuan Liu, Bai-Cheng Jeng, Yen-Kuei Yu, and Tung-Sheng Liu
Email addresses of all the authors: lhc@asia.edu.tw; jason5907@yahoo.com.tw ; haikuei@gmail.com; tommy0366@yahoo.com.tw
Number of paper pages: 9
Abstract: If the fuzzy density function is no more a non-negative valued function, then signed fuzzy measures are needed, in this paper, a generalization of the extensional signed Rho-measure, called generalized signed Rho-measure, is proposed, this new signed fuzzy measure is an generalization of not only signed Rho-measure but also extensional signed Rho-measure and signed addition measure. For evaluating the Choquet integral regression models with our proposed signed fuzzy measure and other different ones, a real data experiment by using a 5-fold cross-validation root mean square error (RMSE) is conducted. The performances of Choquet integral regression models with signed fuzzy measure based on P-measure, -measure, signed £l-measure, extensional signed£l-measure and generalized signed £l-measure, a ridge regression model, and a multiple linear regression model are compared. Experimental result shows that the Choquet integral regression models with respect to generaliz!
ed signed £l-measure outperforms others
Keywords: Signed fuzzy measure, revised monotonicity, signed Rho-fuzzy measure, extensional signed Rho-measure, generalized signed Rho- measure
EXTENSION of the file: .pdf
Special (Invited) Session: A novel fuzzy measure and its extensional signed fuzzy measure
Organizer of the Session: 647-252
How Did you learn about congress: Chin-Chun Chen <ccchen@mail.mhchcm.edu.tw>; Yu-Du Jheng <doora0622@yahoo.com.tw>; Der-Bang Wu<wudb@hotmail.com>
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