Fuzzy interpolative reasoning via cutting and transformations techniques

被引：0
|
作者：
Ko, Yaun-Kai [1 ]
Chen, Shyi-Ming [1 ]
机构：
[1] Natl Taiwan Univ Sci & Technol, Dept Comp Sci & Informat Engn, Taipei, Taiwan
来源：
NEW TRENDS IN APPLIED ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2007年 / 4570卷
关键词：
fuzzy interpolative reasoning; cutting and transformation techniques; increment and ratio transformations; sparse fuzzy rule-based systems;
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：
Fuzzy interpolative reasoning techniques can reduce the complexity of a sparse fuzzy rule-based system. In this paper, we present a new fuzzy interpolative reasoning method via cutting and transformations techniques for sparse fuzzy rule-based systems. It produces more reasonable reasoning consequences than the ones presented in [1] and [3]. The proposed method provides a useful way to deal with fuzzy interpolative reasoning in sparse fuzzy rule-based systems.
引用
收藏
页码：238 / +
页数：3
相关论文
共 50 条
  • [1] Fuzzy interpolative reasoning via scale and move transformations
    Huang, ZH
    Shen, Q
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2006, 14 (02) : 340 - 359
  • [2] Fuzzy Interpolative Reasoning for Sparse Fuzzy Rule-Based Systems Based on α-Cuts and Transformations Techniques
    Chen, Shyi-Ming
    Ko, Yuan-Kai
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2008, 16 (06) : 1626 - 1648
  • [3] Explainable Fuzzy Interpolative Reasoning
    Marsala, Christophe
    Bouchon-Meunier, Bernadette
    2022 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2022,
  • [4] A fuzzy interpolative reasoning method
    Huang, DM
    Tsang, ECC
    Yeung, DS
    PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2004, : 1826 - 1830
  • [5] Weighted fuzzy interpolative reasoning method
    Li, YM
    Huang, DM
    Tsang, ECC
    Zhang, LN
    PROCEEDINGS OF 2005 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-9, 2005, : 3104 - 3108
  • [6] Weighted Fuzzy Interpolative Reasoning Based on the Slopes of Fuzzy Sets and Particle Swarm Optimization Techniques
    Chen, Shyi-Ming
    Hsin, Wen-Chyuan
    IEEE TRANSACTIONS ON CYBERNETICS, 2015, 45 (07) : 1250 - 1261
  • [7] Weighted fuzzy interpolative reasoning for sparse fuzzy rule-based systems based on transformation techniques
    Ko, Yuan-Kai
    Chen, Shyi-Ming
    Pan, Jeng-Shyang
    PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2008, : 3613 - +
  • [8] Fuzzy arithmetic-based interpolative reasoning
    Setnes, M
    Kaymak, U
    Lemke, HRV
    Verbruggen, HB
    ARTIFICIAL INTELLIGENCE IN REAL-TIME CONTROL 1997, 1998, : 379 - 384
  • [9] A New Method for Weighted Fuzzy Interpolative Reasoning Based on Weights-Learning Techniques
    Chen, Shyi-Ming
    Chang, Yu-Chuan
    2010 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2010), 2010,
  • [10] Fuzzy Interpolative Reasoning Method Based on Spline
    Wang, Chang-wu
    Wu, Li-xia
    PROCEEDINGS OF THE FIRST INTERNATIONAL WORKSHOP ON EDUCATION TECHNOLOGY AND COMPUTER SCIENCE, VOL III, 2009, : 143 - 147
12345