Rough-set belief rule model using multinomial subjective logic

被引：4
|
作者：
Jia, Limin [1 ]
Ding, Wangning [1 ]
Jiao, Hongqiang [1 ,2 ]
机构：
[1] Handan Coll, Inst Informat Engn, Handan 056005, Peoples R China
[2] Hebei Univ, Sch Management, Baoding 071002, Hebei, Peoples R China
来源：
IET SCIENCE MEASUREMENT & TECHNOLOGY | 2015年 / 9卷 / 03期
基金：
中国国家自然科学基金;
关键词：
SYSTEMS;
D O I：
10.1049/iet-smt.2014.0015
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In accordance with the uncertainty of decision rules extraction process in boundary region of the rough set, this study proposes a rough-set belief rule model using multinomial subjective logic. The model builds the belief rule expectation for classification and recognition. It not only considered the effects of single condition attributes on decision, but also the multi-attributes. Finally, the example analysis and comparison with the R-0.5(X) model indicates the validity and advantage of this model.
引用
收藏
页码：362 / 366
页数：5
相关论文
共 50 条
  • [1] Subjective logic application research-Rough set belief rule model and trust evaluation model of the intrusion detection system
    Jiao Hongqiang
    Jia Limin
    Ding Wanning
    Li Na
    [J]. OPTIK, 2015, 126 (24): : 5593 - 5599
  • [2] Rough-set rule induction to build fuzzy time series model in forecasting stock price
    Cheng, Ching-Hsue
    Yang, Jun-He
    [J]. 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2015, : 278 - 284
  • [3] A Rough-Set Feature Selection Model for Classification and Knowledge Discovery
    Qamar, Usman
    [J]. 2013 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2013), 2013, : 788 - 793
  • [4] Prioritization and Selection of the Software Requirements using Rough-Set Theory
    Sadiq, Mohd
    Devi, V. Susheela
    [J]. IETE JOURNAL OF RESEARCH, 2023, 69 (08) : 5169 - 5186
  • [5] Rough-set based agent model for intelligent information gathering on Internet
    Zhang, CQ
    Li, YF
    [J]. NEW FRONTIERS IN COMPUTATIONAL INTELLIGENCE AND ITS APPLICATIONS, 2000, 57 : 354 - 363
  • [6] Prioritizing Variants using Rough-set based Relevance Algorithm for GWAS
    Sharma, Jyoti
    Hafeez, Khadija Sana
    Paul, Sushmita
    [J]. 2022 IEEE CONFERENCE ON COMPUTATIONAL INTELLIGENCE IN BIOINFORMATICS AND COMPUTATIONAL BIOLOGY (IEEE CIBCB 2022), 2022, : 115 - 122
  • [7] Fault Diagnosis of Induction Motor Using CWT and Rough-Set Theory
    Konar, Pratyay
    Saha, Moumita
    Sil, Jaya
    Chattopadhyay, Paramita
    [J]. PROCEEDINGS OF THE 2013 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN CONTROL AND AUTOMATION (CICA), 2013, : 17 - 23
  • [8] Toward the Labeled Segmentation of Natural Images Using Rough-Set Rules
    Navarro-Avila, Fernando J.
    Cepeda-Negrete, Jonathan
    Sanchez-Yanez, Raul E.
    [J]. PATTERN RECOGNITION (MCPR 2016), 2016, 9703 : 74 - 83
  • [9] Extended Trust Propagation Model Based on Multinomial Subjective Logic
    Tian, Junfeng
    Wu, Lijuan
    [J]. 2012 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING (ICAISC 2012), 2012, 12 : 27 - 33
  • [10] A Belief Model of Query Difficulty That Uses Subjective Logic
    Lioma, Christina
    Blanco, Roi
    Palau, Raquel Mochales
    Moens, Marie-Francine
    [J]. ADVANCES IN INFORMATION RETRIEVAL THEORY, 2009, 5766 : 92 - +
12345