Fuzzy finite elements: Combination of Guyan reduction and a new method to solve linear fuzzy system

被引:0
|
作者
Vroman, A. [1 ]
Deschrijver, G. [1 ]
De Munck, M. [1 ]
Moens, D. [1 ]
Kerre, E. E. [1 ]
Vandepitte, D. [1 ]
机构
[1] Univ Ghent VIB, Dept Appl Math & Comp Sci, Fuzziness & Uncertainty Modelling Res Unit, B-9000 Ghent, Belgium
关键词
D O I
暂无
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
In practice it is sometimes very difficult and in many cases even impossible to define correct and unique input data for structural mechanics applications. Fuzzy numbers can represent the uncertain input for those cases. As a consequence fuzzy arithmetic, based on the extension principle can be applied to solve finite element problems with uncertain parameters. Application of fuzzy arithmetic directly to the traditional techniques for the numerical solution of finite elements however turns out to be impracticable, especially solving systems of linear equations. Here we present a new method to solve systems of linear fuzzy equations combined with Guyan Reduction. Our conclusions are confirmed by a simple static problem.
引用
收藏
页码:4227 / 4241
页数:15
相关论文
共 50 条
  • [31] A new fuzzy additive noise reduction method
    Schulte, Stefan
    De Witte, Valerie
    Nachtegael, Mike
    Melange, Tom
    Kerre, Etienne E.
    IMAGE ANALYSIS AND RECOGNITION, PROCEEDINGS, 2007, 4633 : 12 - 23
  • [32] A new method for fuzzy rule base reduction
    Bellaaj, Hatem
    Ketata, Rouf
    Chtourou, Mohamed
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2013, 25 (03) : 605 - 613
  • [33] A New Rule Reduction Method for Fuzzy Modeling
    Lu, XinJiang
    Bai, Yunxu
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 28 (11) : 3023 - 3031
  • [34] The Intelligence of Dual Simplex Method to Solve Linear Fractional Fuzzy Transportation Problem
    Narayanamoorthy, S.
    Kalyani, S.
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2015, 2015
  • [35] Attribute Reduction Method Using the Combination of Entropy and Fuzzy Entropy
    Rashmi
    Ghose, Udayan
    Mehta, Rajesh
    NETWORKING COMMUNICATION AND DATA KNOWLEDGE ENGINEERING, VOL 1, 2018, 3 : 169 - 177
  • [36] On the new solutions for a fully fuzzy linear system
    Allahviranloo, T.
    Hosseinzadeh, A. A.
    Ghanbari, M.
    Haghi, E.
    Nuraei, R.
    SOFT COMPUTING, 2014, 18 (01) : 95 - 107
  • [37] On the new solutions for a fully fuzzy linear system
    T. Allahviranloo
    A. A. Hosseinzadeh
    M. Ghanbari
    E. Haghi
    R. Nuraei
    Soft Computing, 2014, 18 : 95 - 107
  • [38] Reduction method based on a new fuzzy rough set in fuzzy information system and its applications to scheduling problems
    Liu, Min
    Chen, Degang
    Wu, Cheng
    Li, Hongxing
    COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2006, 51 (9-10) : 1571 - 1584
  • [39] A new method on fuzzy evaluation of system
    Song, B.-W.
    Li, W.
    Xu, D.-M.
    Cao, X.-Z.
    Jixie Kexue Yu Jishu/Mechanical Science and Technology, 2001, 20 (02): : 222 - 223
  • [40] Some new results in linear programs with trapezoidal fuzzy numbers: Finite convergence of the Ganesan and Veeramani's method and a fuzzy revised simplex method
    Ebrahimnejad, A.
    APPLIED MATHEMATICAL MODELLING, 2011, 35 (09) : 4526 - 4540