Generating fuzzy rule-based systems from examples

被引：1
|
作者：
Chang, TM
Yih, Y
机构：
来源：
SOFT COMPUTING IN INTELLIGENT SYSTEMS AND INFORMATION PROCESSING | 1996年
关键词：
D O I：
10.1109/AFSS.1996.583550
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper proposes a general methodology to generate fuzzy rule-based systems automatically from examples. The objective of this work is to generate fuzzy systems with good mapping ability and generalization ability as well. This methodology consists of five steps. Inductive learning is incorporated to enhance fuzzy system's generalization ability. Experiments are conducted to evaluate the system performance of generated fuzzy systems based on two sets of data in the literature.
引用
收藏
页码：37 / 42
页数：6
相关论文
共 50 条
  • [1] Generating Fuzzy Rule-based Systems from Examples Based on Robust Support Vector Machine
    贾泂
    张浩然
    [J]. Journal of Donghua University(English Edition), 2006, (06) : 144 - 147
  • [2] Generating a hierarchical fuzzy rule-based model
    Kerr-Wilson, Jeremy
    Pedrycz, Witold
    [J]. FUZZY SETS AND SYSTEMS, 2020, 381 : 124 - 139
  • [3] Generating Interval Type-2 Fuzzy Inputs from Smoothed Data for Fuzzy Rule-Based Systems
    Sussner, Peter
    Alencar, Tiago da Silva
    [J]. APPLICATIONS OF FUZZY TECHNIQUES, NAFIPS 2022, 2023, 500 : 255 - 266
  • [4] Noninteractive fuzzy rule-based systems
    Lotfi, A
    Howarth, M
    [J]. INFORMATION SCIENCES, 1997, 99 (3-4) : 219 - 234
  • [5] Chaining in fuzzy rule-based systems
    Hall, LO
    [J]. NINTH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2000), VOLS 1 AND 2, 2000, : 906 - 910
  • [6] Fuzzy rule-based systems derived from similarity to prototypes
    Duch, W
    Blachnik, M
    [J]. NEURAL INFORMATION PROCESSING, 2004, 3316 : 912 - 917
  • [7] Adaptive fuzzy rule-based classification systems
    Nozaki, K
    Ishibuchi, H
    Tanaka, H
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 1996, 4 (03) : 238 - 250
  • [8] Decoupling of multivariable rule-based fuzzy systems
    Babuska, R
    Gegov, A
    Verbruggen, HB
    [J]. ARTIFICIAL INTELLIGENCE IN REAL-TIME CONTROL 1998, 1999, : 13 - 16
  • [9] Descriptive Stability of Fuzzy Rule-Based Systems
    Mencar, Corrado
    Castiello, Ciro
    [J]. IEEE CIS INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS 2021 (FUZZ-IEEE), 2021,
  • [10] Matrix formulation of fuzzy rule-based systems
    Lotfi, A
    Andersen, HC
    Tsoi, AC
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 1996, 26 (02): : 332 - 340
12345