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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 7
2037-2040,2044

New method to determine BPA based on kernel density estimation

Huang Jie1,2
Wei Yongqing3
Yi Jing1,4
Liu Mengdi1,2
1. School of Information Science & Engineering, Shandong Normal University, Jinan 250358, China
2. Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology, Jinan 250014, China
3. Dept. of Basic Education, Shandong Police College, Jinan 250014, China
4. School of Computer Science & Technology, Shandong Jianzhu University, Jinan 250014, China
DOI: 10.19734/j.issn.1001-3695.2018.11.0882

Abstract

The determination of BPA or the action object of D-S fusion method is an open problem in process of D-S theory application. This paper proposed a BPA determination method based on KDE. The method used training data to construct a data attribute model with optimized bandwidth based on the optimized kernel density estimation, then calculated the Tri-D value of test data by using the kernel density model of training data. The next step was obtaining BPA of test data by using the nested method to assign Tri-D. Finally, it fused BPA by D-S method to get the final result, and judged the validity of the BPA generation method by the classification accuracy rate. An illustrative case regarding the classification accuracy compared with other methods on UCI data sets shows the effectiveness of the method.

Key Words

BPA KDE Tri-D bandwidth

Foundation Support

国家自然科学基金资助项目(61373148)
山东省自然科学基金资助项目(ZR2014FL010)
山东省教育厅基金资助项目(J15LN34)
山东省社科规划项目(17CHLJ18,17CHLJ33,17CHLJ30)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.11.0882
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 7
Section: Algorithm Research & Explore
Pages: 2037-2040,2044
Serial Number: 1001-3695(2020)07-023-2037-04

Publish History

[2020-07-05] Printed Article

Cite This Article

黄杰, 尉永清, 伊静, 等. 基于核密度估计的基本概率指派生成方法 [J]. 计算机应用研究, 2020, 37 (7): 2037-2040,2044. (Huang Jie, Wei Yongqing, Yi Jing, et al. New method to determine BPA based on kernel density estimation [J]. Application Research of Computers, 2020, 37 (7): 2037-2040,2044. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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