A New Method for Fuzzy Interpolative Reasoning in Sparse Fuzzy Rule-Based Systems

被引：0
|
作者：
Chang, Yu-Chuan [1 ]
Chen, Shyi-Ming [1 ]
机构：
[1] Natl Taiwan Univ Sci & Technol, Dept Comp Sci & Informat Engn, Taipei, Taiwan
来源：
2012 INTERNATIONAL CONFERENCE ON FUZZY THEORY AND ITS APPLICATIONS (IFUZZY2012) | 2012年
关键词：
Fuzzy interpolative reasoning; polygonal membership functions; multiple fuzzy rules interpolation; sparse fuzzy rule-based systems; MEMBERSHIP FUNCTIONS; TRANSFORMATIONS; EXTRAPOLATION; SPACES;
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：
In this paper, we present a new fuzzy interpolative reasoning method for sparse fuzzy rule-based systems. The proposed method not only can deal with multiple fuzzy rules interpolation based on polygonal membership functions, but also can overcome the drawbacks of the existing methods. It also guarantees the convexity of fuzzy interpolative reasoning results. The experimental result shows that the proposed method can generate more reasonable fuzzy interpolative reasoning results than the existing methods for sparse fuzzy rule-based systems.
引用
收藏
页码：400 / 405
页数：6
相关论文
共 50 条
  • [41] Weighted fuzzy interpolative reasoning method
    Li, YM
    Huang, DM
    Tsang, ECC
    Zhang, LN
    [J]. PROCEEDINGS OF 2005 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-9, 2005, : 3104 - 3108
  • [42] A New Fuzzy Interpolative Reasoning Method Based on the Ratio of Fuzziness of Rough-Fuzzy Sets
    Chen, Shyi-Ming
    Cheng, Shou-Hsiung
    Chen, Ze-Jin
    [J]. INTELLIGENT INFORMATION AND DATABASE SYSTEMS, PT I, 2015, 9011 : 551 - 561
  • [43] A New Fuzzy Interpolative Reasoning Method Based on Interval Type-2 Fuzzy Sets
    Chang, Yu-Chuan
    Chen, Shyi-Ming
    [J]. 2008 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), VOLS 1-6, 2008, : 82 - 87
  • [44] An ensemble method for fuzzy rule-based classification systems
    Basma Soua
    Amel Borgi
    Moncef Tagina
    [J]. Knowledge and Information Systems, 2013, 36 : 385 - 410
  • [45] An ensemble method for fuzzy rule-based classification systems
    Soua, Basma
    Borgi, Amel
    Tagina, Moncef
    [J]. KNOWLEDGE AND INFORMATION SYSTEMS, 2013, 36 (02) : 385 - 410
  • [46] A constructive method for building fuzzy rule-based systems
    Requena, I
    Blanco, A
    Delgado, M
    [J]. INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, 2003, 11 (02) : 217 - 233
  • [47] A New Monotonicity Index for Fuzzy Rule-based Systems
    Pang, Lie Meng
    Tay, Kai Meng
    Lim, Chee Peng
    [J]. 2014 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2014, : 1566 - 1570
  • [48] MULTIPLE FUZZY RULES INTERPOLATION WITH WEIGHTED ANTECEDENT VARIABLES IN SPARSE FUZZY RULE-BASED SYSTEMS
    Chen, Shyi-Ming
    Chang, Yu-Chuan
    Chen, Ze-Jin
    Chen, Chia-Ling
    [J]. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2013, 27 (05)
  • [49] IVTURS: A Linguistic Fuzzy Rule-Based Classification System Based On a New Interval-Valued Fuzzy Reasoning Method With Tuning and Rule Selection
    Antonio Sanz, Jose
    Fernandez, Alberto
    Bustince, Humberto
    Herrera, Francisco
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2013, 21 (03) : 399 - 411
  • [50] Interpolative fuzzy reasoning method based on the incircle of a generalized triangular fuzzy number
    Alzubi, Maen
    Kovacs, Szilveszter
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2020, 39 (01) : 709 - 729
12345