Selection Method for Kernel Function in Nonparametric Extrapolation Based on Multicriteria Decision-Making Technology
Joint Authors
Wang, Jixin
Liu, Yan
Zhou, Zhenping
Wang, Naixiang
Shen, Wanghao
Zeng, Xiao-hua
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-30
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Selecting the most appropriate kernel function to extrapolate a load set is the paramount step in compiling load spectrum, as it affects the results of nonparametric extrapolation largely.
Aiming at this issue, this paper provides a new approach in selecting kernel function for the nonparametric extrapolation.
To solve the complexity and uncertainty of nonparametric extrapolation, characteristics of four kernel functions and their effects on the results are explained in the “from-to” diagram obtained by rainflow counting.
Multicriteria decision-making (MCDM) is then applied to solve the selection problem of kernel function.
To evaluate the dispersion degrees of the mean and amplitude of a load set accurately, their range, standard deviation, and interquartile range are selected as the evaluation criteria.
The weight of each criterion, which represents the impact degree on the selection of the kernel function, is calculated separately using the eigenvector and entropy method.
The comprehensive weights are obtained by applying the optimization theory and Jaynes’ maximum entropy principle.
Finally, the importance of each criterion is discussed according to their calculated comprehensive weights, and the selection method for kernel functions is obtained, which is illustrated by extrapolating the output torque of the power split device of hybrid electrical vehicles.
American Psychological Association (APA)
Wang, Jixin& Liu, Yan& Zeng, Xiao-hua& Zhou, Zhenping& Wang, Naixiang& Shen, Wanghao. 2013. Selection Method for Kernel Function in Nonparametric Extrapolation Based on Multicriteria Decision-Making Technology. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1031846
Modern Language Association (MLA)
Wang, Jixin…[et al.]. Selection Method for Kernel Function in Nonparametric Extrapolation Based on Multicriteria Decision-Making Technology. Mathematical Problems in Engineering No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-1031846
American Medical Association (AMA)
Wang, Jixin& Liu, Yan& Zeng, Xiao-hua& Zhou, Zhenping& Wang, Naixiang& Shen, Wanghao. Selection Method for Kernel Function in Nonparametric Extrapolation Based on Multicriteria Decision-Making Technology. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1031846
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1031846