A Novel Composition Forecasting Model Based on Choquet Integral with Respect to L-Measure and O-Density

Hsiang Chuan Liu; Bai Cheng Jeng; Yen Kuei Yu; Shang Ling Ou; Yih Chang Ou; Hsien Chang Tsai

doi:10.4028/www.scientific.net/AMR.472-475.1245

Paper Titles

The Sustainable Development Research about Microfinance - Take the Rural Credit Cooperative of Hebei Province as an Example
p.1224

Study on Composites for Furniture with Waste Paper and Wood Particle
p.1228

Research on the Interface Bonding Conditions of Bimetallic Rolls Manufactured by Liquid-Solid Bonding Method
p.1233

Research SMT Technology Parameter Optimize Based on NiPdAu PCB
p.1240

A Novel Composition Forecasting Model Based on Choquet Integral with Respect to L-Measure and O-Density
p.1245

Study on the Dephosphorization in Basic Electrode Welding
p.1249

The Stability and Management of “Sandwich” Type Slopes in Extrusive Rock Area
p.1253

Application of Fracture Mechanics in Ocean Engineering Structures Quality Control
p.1257

Optimal Design of an IPM Motor for Machine Tool Applications
p.1263

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 472-475A Novel Composition Forecasting Model Based on...

A Novel Composition Forecasting Model Based on Choquet Integral with Respect to L-Measure and O-Density

Abstract:

In this paper, based on L-measure and O-density, a novel composition forecasting model is proposed. For evaluating this new composition forecasting model, a real data experiment by using the sequential mean square error was conducted. Based on O-density, the performances of Choquet integral composition forecasting model with the L-measure, Lambda-measure and P-measure, respectively, a ridge regression composition forecasting model and a multiple linear regression composition forecasting model and the traditional linear weighted composition forecasting model were compared. Experimental results show that the Choquet integral composition forecasting model with respect to the L-measure outperforms other 5 composition forecasting models.

You might also be interested in these eBooks

Advanced Manufacturing Technology, ICMSE 2012

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 472-475)

Pages:

1245-1248

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.472-475.1245

Citation:

Cite this paper

Online since:

February 2012

Authors:

Hsiang Chuan Liu, Bai Cheng Jeng, Yen Kuei Yu, Shang Ling Ou, Yih Chang Ou, Hsien Chang Tsai

Keywords:

Choquet Integra, Composition Forecasting Model, Fuzzy Measure, L-Measure, O-Density

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] H.-Q. Zhang, B. Wang, and L.-B. Gao, Application of Composition Forecasting Model in the Agricultural Economy Research, Journal of Anhui Agri. Sci. 36-22 (2008) 9779- 9782

Google Scholar

[2] A.E. Hoerl, R.W. Kenard, and K.F. Baldwin, Ridge regression: Some simulation, Communications in Statistics, 4-2, (1975) 105-123.

DOI: 10.1080/03610917508548342

Google Scholar

[3] M. Sugeno, Theory of fuzzy integrals and its applications, unpublished doctoral dissertation, Tokyo Institute of Technology, Tokyo, Japan, 1974.

Google Scholar

[4] L.A. Zadeh, Fuzzy Sets as a Basis for Theory of Possibility, Fuzzy Sets and Systems, 1 (1978) 3-28.

DOI: 10.1016/0165-0114(78)90029-5

Google Scholar

[5] G. Choquet, Theory of capacities, Annales de l'Institut Fourier, 5 (1953) 131-295.

Google Scholar

[6] H.-C. Liu, Y.-C. Tu, W.-C. Lin, and C. C. Chen, Choquet integral regression model based on L-Measure and γ-Support, Proceedings of 2008 International Conference on Wavelet Analysis and Pattern Recognition, 2008.

DOI: 10.1109/icwapr.2008.4635882

Google Scholar