Hybrid Reliability Parameter Selection Method Based on Text Mining, Frequent Pattern Growth algorithm and Fuzzy Bayesian Network

doi:10.1007/s12204-018-1945-6

sa ›› 2018, Vol. 23 ›› Issue (3): 423-.doi: 10.1007/s12204-018-1945-6

Hybrid Reliability Parameter Selection Method Based on Text Mining, Frequent Pattern Growth algorithm and Fuzzy Bayesian Network

SHUAI Yong1;2 (帅勇), SONG Tailiang3 (宋太亮), WANG Jianping1 (王建平), ZHAN Wenbin4 (詹文斌)

(1. Technical Support Engineering Faculty, Armored Forced Engineering Academy, Beijing 100072, China; 2. Unit 68207 of PLA, Jiayuguan 735100, Gansu, China; 3. China Defense Science & Technology Information Center, Beijing 100142, China; 4. Communication Station, Air Force Equipment Research Academy, Beijing 100085, China)

出版日期:2018-05-31 发布日期:2018-06-17
通讯作者: SHUAI Yong1;2 (帅勇) E-mail:alexshuai@sina.com

Hybrid Reliability Parameter Selection Method Based on Text Mining, Frequent Pattern Growth algorithm and Fuzzy Bayesian Network

SHUAI Yong1;2 (帅勇), SONG Tailiang3 (宋太亮), WANG Jianping1 (王建平), ZHAN Wenbin4 (詹文斌)

(1. Technical Support Engineering Faculty, Armored Forced Engineering Academy, Beijing 100072, China; 2. Unit 68207 of PLA, Jiayuguan 735100, Gansu, China; 3. China Defense Science & Technology Information Center, Beijing 100142, China; 4. Communication Station, Air Force Equipment Research Academy, Beijing 100085, China)

Online:2018-05-31 Published:2018-06-17
Contact: SHUAI Yong1;2 (帅勇) E-mail:alexshuai@sina.com

摘要/Abstract

摘要： Reliability parameter selection is very important in the period of equipment project design and demon- stration. In this paper, the problem in selecting the reliability parameters and their number is proposed. In order to solve this problem, the thought of text mining is used to extract the feature and curtail feature sets from text data ˉrstly, and frequent pattern tree (FPT) of the text data is constructed to reason frequent item-set between the key factors by frequent patter growth (FPG) algorithm. Then on the basis of fuzzy Bayesian network (FBN) and sample distribution, this paper fuzziˉes the key attributes, which forms associated relationship in frequent item-sets and their main parameters, eliminates the subjective in°uence factors and obtains condition mutual information and maximum weight directed tree among all the attribute variables. Furthermore, the hybrid model is established by reason fuzzy prior probability and contingent probability and concluding parameter learning method. Finally, the example indicates the model is believable and e?ective.

关键词: reliability parameter, text mining, frequent pattern growth (FPG), fuzzy Bayesian network (FBN)

Abstract: Reliability parameter selection is very important in the period of equipment project design and demon- stration. In this paper, the problem in selecting the reliability parameters and their number is proposed. In order to solve this problem, the thought of text mining is used to extract the feature and curtail feature sets from text data ˉrstly, and frequent pattern tree (FPT) of the text data is constructed to reason frequent item-set between the key factors by frequent patter growth (FPG) algorithm. Then on the basis of fuzzy Bayesian network (FBN) and sample distribution, this paper fuzziˉes the key attributes, which forms associated relationship in frequent item-sets and their main parameters, eliminates the subjective in°uence factors and obtains condition mutual information and maximum weight directed tree among all the attribute variables. Furthermore, the hybrid model is established by reason fuzzy prior probability and contingent probability and concluding parameter learning method. Finally, the example indicates the model is believable and e?ective.

Key words: reliability parameter, text mining, frequent pattern growth (FPG), fuzzy Bayesian network (FBN)

中图分类号:

TP 311

SHUAI Yong1;2 (帅勇), SONG Tailiang3 (宋太亮), WANG Jianping1 (王建平), ZHAN Wenbin4 (詹文. Hybrid Reliability Parameter Selection Method Based on Text Mining, Frequent Pattern Growth algorithm and Fuzzy Bayesian Network[J]. sa, 2018, 23(3): 423-.

SHUAI Yong1;2 (帅勇), SONG Tailiang3 (宋太亮), WANG Jianping1 (王建平), ZHAN Wenbin4 (詹文斌). Hybrid Reliability Parameter Selection Method Based on Text Mining, Frequent Pattern Growth algorithm and Fuzzy Bayesian Network[J]. Journal of Shanghai Jiao Tong University (Science), 2018, 23(3): 423-.

参考文献 10

[1]	ZHEN X, LI J D. Established method study for super-parameter of prior distribution in reliability test [J].Electronic Product Reliability and Environmental Test-ing, 2013, 31(5): 14-16 (in Chinese).
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[3]	LU X Q, JIN L. Selection of heat-setting parameters ofmechanical products with DOE method [J]. Materialsand Heat Treatment Technology, 2012, 41(16): 216-217(in Chinese).
[4]	SHAO L C, ZHU J G, JI J C, et al. Reliability parameters' selection when a decoy erecting [J]. EngineerEquipment Research, 2011, 30(5): 9-12 (in Chinese).
[5]	SHUBHADA P N, RAJENDRA K. Text mining [J].Library Review, 2015, 64(3): 248-268.
[6]	LIAO Q, HAO Z F, CHEN Z H. Data mining andmathematics model [M]. Beijing: National Defense Industry Press, 2010 (in Chinese).
[7]	ZHAO J L, ZHENG W. Study of fault diagnosismethod based on fuzzy Bayesian network and applica-tion in CTCS-3 train control system [C]//2013 IEEEInternational Conference on Intelligent Rail Trans-portation. [s.l.]: IEEE, 2013: 249-254.
[8]	DONALD J B, DAMES A M, DEZON K F, et al.A case study of data quality in text mining clinicalprogress notes [J]. ACM Transaction on ManagementInformation System, 2015, 6(1): 1-21.
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Hybrid Reliability Parameter Selection Method Based on Text Mining, Frequent Pattern Growth algorithm and Fuzzy Bayesian Network

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