Computational methods for solving fully fuzzy linear systems

Since many real-world engineering systems are too complex to be defined in precise terms, imprecision is often involved in any engineering design process. Fuzzy systems have an essential role in this fuzzy modelling, which can formulate uncertainty in actual environment. In addition, this is an impo...

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Veröffentlicht in:	Applied mathematics and computation Jg. 179; H. 1; S. 328 - 343
Hauptverfasser:	Dehghan, Mehdi, Hashemi, Behnam, Ghatee, Mehdi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY Elsevier Inc 01.08.2006 Elsevier
Schlagworte:	Algebra Cramer’s rule Doolittle algorithm Exact sciences and technology Fully fuzzy linear system (FFLS) Fuzzy approximate arithmetic Fuzzy LU decomposition Gaussian elimination Linear and multilinear algebra, matrix theory Linear programming (LP) LR fuzzy number Mathematics Numerical analysis Numerical analysis. Scientific computation Numerical linear algebra Numerical methods in mathematical programming Numerical methods in mathematical programming, optimization and calculus of variations Over-determined fuzzy linear system of equations Sciences and techniques of general use Linear programming (LP) Doolittle algorithm Fuzzy approximate arithmetic Gaussian elimination Fully fuzzy linear system (FFLS) Cramer’s rule Fuzzy LU decomposition Over-determined fuzzy linear system of equations LR fuzzy number Uncertainty Complex system Eigenvalue Overdetermined system Direct method Linear equation Fuzzy system Numerical linear algebra Linear programming Cramer's rule Rectangular matrix Engineering design Numerical analysis Linear system Matrix inversion Applied mathematics Heuristic method Matrix calculus
ISSN:	0096-3003, 1873-5649
Online-Zugang:	Volltext
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