Voting schemes for fuzzy-rule-based classification systems

被引:0
|
作者
Ishibuchi, H [1 ]
Morisawa, T [1 ]
Nakashima, T [1 ]
机构
[1] UNIV OSAKA PREFECTURE,DEPT IND ENGN,SAKAI,OSAKA 593,JAPAN
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
引用
收藏
页码:614 / 620
页数:7
相关论文
共 50 条
  • [21] Evolving Fuzzy-Rule-Based Classifiers From Data Streams
    Angelov, Plamen P.
    Zhou, Xiaowei
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2008, 16 (06) : 1462 - 1475
  • [22] A fuzzy-rule-based packet reproduction routing for sensor networks
    Zhang, Jinhuan
    Liu, Anfeng
    Hu, Peng
    Long, Jun
    INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2018, 14 (04):
  • [23] A Fuzzy-Rule-Based Approach for Single Frame Super Resolution
    Purkait, Pulak
    Pal, Nikhil Ranjan
    Chanda, Bhabatosh
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2014, 23 (05) : 2277 - 2290
  • [24] Induction of fuzzy-rule-based classifiers with evolutionary boosting algorithms
    del Jesus, MJ
    Hoffmann, F
    Navascués, LJ
    Sánchez, L
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2004, 12 (03) : 296 - 308
  • [25] Fuzzy-rule-based object identification methodology for NAVI system
    Nagarajan, R
    Sainarayanan, G
    Yaacob, S
    Porle, RR
    EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING, 2005, 2005 (14) : 2260 - 2267
  • [26] Multitask learning applied to evolving fuzzy-rule-based predictors
    Ayres, Amanda O. C.
    Von Zuben, Fernando J.
    EVOLVING SYSTEMS, 2021, 12 (02) : 407 - 422
  • [27] Application of fuzzy-rule-based postprocessing to correlation methods in pattern recognition
    Wolf, T
    Gutmann, B
    Weber, H
    FerreBorrull, J
    Bosch, S
    Vallmitjana, S
    APPLIED OPTICS, 1996, 35 (35): : 6955 - 6963
  • [29] A dialog management methodology based on evolving Fuzzy-rule-based (FRB) classifiers
    Griol, David
    Antonio Iglesias, Jose
    Ledezma, Agapito
    Sanchis, Araceli
    2014 IEEE CONFERENCE ON EVOLVING AND ADAPTIVE INTELLIGENT SYSTEMS (EAIS), 2014,
  • [30] Counterfactual rule generation for fuzzy rule-based classification systems
    Zhang, Te
    Wagner, Christian
    Garibaldi, Jonathan. M.
    2022 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2022,