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The solution of fuzzy Sylvester matrix equation
- Source :
- Soft Computing. 22:6515-6523
- Publication Year :
- 2017
- Publisher :
- Springer Science and Business Media LLC, 2017.
-
Abstract
- In this paper, A fuzzy Sylvester matrix equation with crisp coefficient matrices is considered. We use the arithmetic operation rule of fuzzy number to transfer the equation into two crisp Sylvester matrix equations, which avoids using Kronecker operation and which makes it possible to apply some existing methods to solve Sylvester matrix equation. Since the two transferred equations keep the number of unknowns unchanged, numerical operations needed in our method are much less than the operations in the method using Kronecker product. At last, we use several small-scale examples to illustrate the correctness of our method and several large-scale examples to illustrate the efficiency of our method.
- Subjects :
- Sylvester matrix
Kronecker product
Mathematical optimization
Numerical analysis
MathematicsofComputing_NUMERICALANALYSIS
010103 numerical & computational mathematics
02 engineering and technology
01 natural sciences
Fuzzy logic
Theoretical Computer Science
Sylvester's law of inertia
symbols.namesake
Kronecker delta
ComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATION
0202 electrical engineering, electronic engineering, information engineering
symbols
Fuzzy number
Applied mathematics
020201 artificial intelligence & image processing
Geometry and Topology
0101 mathematics
Sylvester equation
Software
Mathematics
Subjects
Details
- ISSN :
- 14337479 and 14327643
- Volume :
- 22
- Database :
- OpenAIRE
- Journal :
- Soft Computing
- Accession number :
- edsair.doi...........e0ec2d857f0f8f644a2dba2e29d18cf0
- Full Text :
- https://doi.org/10.1007/s00500-017-2702-8