An interval-valued fuzzy reasoning algorithm based on OWA operator

被引：0
|
作者：
Zhang, Qiansheng [1 ]
Jiang, Shengyi [1 ]
Luo, Shihua [2 ]
Yao, Haixiang [1 ]
机构：
[1] Guangdong Univ Foreign Studies, Sch Informat Sci & Technol, Guangzhou 510420, Guangdong, Peoples R China
[2] Jiangxi Univ Finance & Econom, Jian 3331303, Jiangxi, Peoples R China
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND INTELLIGENT SYSTEMS, PROCEEDINGS, VOL 2 | 2009年
基金：
中国国家自然科学基金;
关键词：
Interval valued fuzzy set; OWA operator; Similarity measure; Production rule; DECISION-MAKING; SETS; SYSTEMS;
D O I：
10.1109/ICICISYS.2009.5357955
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 presents a weighted interval-valued fuzzy (IvF) reasoning algorithm based on OWA operator for IvF inference system where Interval-valued fuzzy set (IvFS) theory and IvF production rules with parameters are used for uncertain knowledge representation The proposed algorithm can perform IvF matching between the fact and the antecedent portion of IvF rule by employing the weighted similarity measure Finally, one numeric example illustrates that the proposed method is very flexible and simple
引用
收藏
页码：246 / +
页数：2
相关论文
共 50 条
  • [31] A Web Reasoning Approach Based on Interval-valued
    Yin, Yunfei
    Zhong, Zhi
    Huang, Faliang
    2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 177 - +
  • [32] Fully implicational methods for approximate reasoning based on interval-valued fuzzy sets
    Huawen Liu School of Mathematics
    JournalofSystemsEngineeringandElectronics, 2010, 21 (02) : 224 - 232
  • [33] Interval-valued intuitionistic fuzzy approximate reasoning based on a new similarity measure
    Zhang, Qiansheng
    Jiang, Shengyi
    2009 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, VOL I, PROCEEDINGS, 2009, : 505 - 509
  • [34] A METHOD OF INFERENCE IN APPROXIMATE REASONING BASED ON INTERVAL-VALUED FUZZY-SETS
    GORZALCZANY, MB
    FUZZY SETS AND SYSTEMS, 1987, 21 (01) : 1 - 17
  • [35] On normal form based interval-valued fuzzy sets and their applications to approximate reasoning
    Yuan, B
    Pan, Y
    Wu, WM
    INTERNATIONAL JOURNAL OF GENERAL SYSTEMS, 1995, 23 (03) : 241 - 254
  • [36] Fully implicational methods for approximate reasoning based on interval-valued fuzzy sets
    Liu, Huawen
    JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, 2010, 21 (02) : 224 - 232
  • [37] Multidimensional Interval-valued Fuzzy Reasoning Approach Based on Weighted Similarity Measure
    Zhang, Qian Sheng
    Li, Bi
    FUZZY INFORMATION AND ENGINEERING, 2011, 3 (01) : 45 - 57
  • [38] Generalized interval-valued OWA operators with interval weights derived from interval-valued overlap functions
    Bedregal, Benjamin
    Bustince, Humberto
    Palmeira, Eduardo
    Dimuro, Gracaliz
    Fernandez, Javier
    INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2017, 90 : 1 - 16
  • [39] Reasoning With Interval-Valued Probabilities
    Heendeni, Janith
    Premaratne, Kamal
    Murthi, Manohar N.
    PROCEEDINGS OF 2020 23RD INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION 2020), 2020, : 398 - 405
  • [40] Interval-valued fuzzy derivatives and solution to interval-valued fuzzy differential equations
    Kalani, Hadi
    Akbarzadeh-T, Mohammad-R.
    Akbarzadeh, Alireza
    Kardan, Iman
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2016, 30 (06) : 3373 - 3384
12345