Solving Arbitrary Coupled Trapezoidal Fully Fuzzy Sylvester Matrix Equation with Necessary Arithmetic Multiplication Operations

被引:3
|
作者
Elsayed, Ahmed Abdel Aziz [1 ,2 ]
Ahmad, Nazihah [2 ]
Malkawi, Ghassan [3 ]
机构
[1] Inst Appl Technol, Dept Math, Mohamed Bin Zayed City, U Arab Emirates
[2] Univ Utara Malaysia, Sch Quantitat Sci, Sintok, Malaysia
[3] Higher Coll Technol HCT, Fac Engn, Math & Nat Sci Div, Abu Dhabi, U Arab Emirates
关键词
Arbitrary fuzzy systems; couple Sylvester matrix equations; near-zero fuzzy numbers; trapezoidal fuzzy numbers; trapezoidal fuzzy multiplication; RELATIONAL EQUATIONS; OPTIMIZATION; RESOLUTION; ALGORITHM; SYSTEM;
D O I
10.1080/16168658.2022.2161442
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
A couple of Sylvester matrix equations (CSME) are required to be solved simultaneously in many applications, especially in analysing the stability of control systems. However, there are some situations in which the crisp CSME are not well equipped to deal with the uncertainty problem during the stability analysis of control systems. Thus, this paper proposes a new method for solving Arbitrary Coupled Trapezoidal Fully Fuzzy Sylvester Matrix Equation (ACTrFFSME). New arithmetic fuzzy multiplication operations are developed and applied to convert the ACTrFFSME to a reduced system of non-linear equations. Then it is converted to a system of absolute equations where the arbitrary fuzzy solution is obtained by solving that system. The proposed method can solve many arbitrary fuzzy equations, such as fully fuzzy matrix equations, Sylvester and Lyapunov fully fuzzy matrix equations with triangular and trapezoidal fuzzy numbers without any restrictions. We illustrate the proposed method by solving two numerical examples.
引用
收藏
页码:425 / 455
页数:31
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