ADAPTING THE RULE-BASE

被引：2
|
作者：
FOGARTY, TC
机构：
来源：
PROCEEDINGS OF THE 28TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-3 | 1989年
关键词：
D O I：
10.1109/CDC.1989.70220
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：
引用
收藏
页码：761 / 766
页数：6
相关论文
共 50 条
  • [41] An approach for fuzzy rule-base adaptation using on-line clustering
    Angelov, P. (p.angelov@lancaster.ac.uk), 1600, Elsevier Inc. (35):
  • [42] A Fast and Accurate Rule-Base Generation Method for Mamdani Fuzzy Systems
    Dutu, Liviu-Cristian
    Mauris, Gilles
    Bolon, Philippe
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018, 26 (02) : 715 - 733
  • [43] A Comparative Study of Two Novel Approaches to the Rule-Base Evidential Reasoning
    Dymova, Ludmila
    Kaczmarek, Krzysztof
    Sevastjanov, Pavel
    ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, ICAISC 2017, PT I, 2017, 10245 : 231 - 240
  • [44] Rule-base derivation for intensive care ventilator control using ANFIS
    Kwok, HF
    Linkens, DA
    Mahfouf, M
    Mills, GH
    ARTIFICIAL INTELLIGENCE IN MEDICINE, 2003, 29 (03) : 185 - 201
  • [45] Fine Tuning of Fuzzy Rule-Base System and Rule Set Reduction Using Statistical Analysis
    Nazir, Muhammad Babar
    Wang, Shaoping
    JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 2011, 133 (04):
  • [46] Applying a new rule-base inference methodology into clinical decision making
    Kong, Guilan
    Xu, Dong-Ling
    Yang, Jian-Bo
    COMPUTATIONAL INTELLIGENCE IN DECISION AND CONTROL, 2008, 1 : 781 - 786
  • [47] A new approach to the rule-base evidential reasoning in the intuitionistic fuzzy setting
    Dymova, Ludmila
    Sevastjanov, Pavel
    KNOWLEDGE-BASED SYSTEMS, 2014, 61 : 109 - 117
  • [48] An approach for fuzzy rule-base adaptation using on-line clustering
    Angelov, P
    INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2004, 35 (03) : 275 - 289
  • [49] RULE-BASE FORMULATION FOR CLIPS-BASED WORK ERGONOMIC ASSESSMENT
    Szakonyi, Benedek
    Lorincz, Tamas
    Lipovits, Agnes
    Vassanyi, Istvan
    HUNGARIAN JOURNAL OF INDUSTRY AND CHEMISTRY, 2019, 47 (01): : 79 - 83
  • [50] Fuzzy Rule-Base Based Intrusion Detection System on Application Layer
    Sangeetha, S.
    Haripriya, S.
    Priya, S. G. Mohana
    Vaidehi, V.
    Srinivasan, N.
    RECENT TRENDS IN NETWORK SECURITY AND APPLICATIONS, 2010, 89 : 27 - 36
12345