نتایج جستجو برای: linear fuzzy dynamic equations

تعداد نتایج: 1128211  

2013
S. CHONDROGIANNIS C. TZIMOPOULOS C. EVANGELIDES

EXTENDED ABSTRACT The aim of this study was the optimization of pressurized irrigation networks using conventional and fuzzy numbers. In particular, the method of dynamic programming was utilized, whose implementation required the development of a program in Visual Fortran. The program was first applied using conventional numbers in three irrigation networks in the area of Kavasila (the former ...

Journal: :Journal of Mathematics and Computer Science 2013

2011
TOFIGH ALLAHVIRANLOO NASSER MIKAEILVAND

System of linear equations is a problem that may be solved for solving many problems in various areas of applied sciences. Fuzzy methods constitute an important mathematical and computational tool for modeling real-world systems with uncertainties of parameters. The paper discusses fully fuzzy linear systems (shown as FFLS) using embedding approach to find its non-zero fuzzy number solutions. W...

2012
Tofigh Allahviranloo Nasser Mikaeilvand Narsis Aftab Kiani Rasol Mastani Shabestari

System of linear equations is applied for solving many problems in various areas of applied sciences. Fuzzy methods constitute an important mathematical and computational tool for modeling real-world systems with uncertainties of parameters. In this paper, we discuss about fully fuzzy linear systems in the form b AX  (FFLS). A novel method for finding the non-zero fuzzy solutions of these syst...

The aim of this paper is to use the Reproducing kernel Hilbert Space Method (RKHSM) to solve the linear and nonlinear fuzzy impulsive fractional differential equations. Finding the numerical solutionsof this class of equations are a difficult topic to analyze. In this study, convergence analysis, estimations error and bounds errors are discussed in detail under some hypotheses which provi...

M. Mosleh M. Otadi,

Hybrid system is a dynamic system that exhibits both continuous and discrete dynamic behavior‎. ‎The hybrid differential equations have a wide range of applications in science and engineering‎. ‎The hybrid systems are devoted to modeling‎, ‎design‎, ‎and validation of interactive systems of computer programs and continuous systems‎. ‎Hybrid fuzzy differential equations (HFDEs) is considered by ...

2012
R. Ezzati F. Mokhtari

In this paper, we introduce an approach by using inverse fuzzy transforms based on the fuzzy partition with combination in collocation technique for the numerical solution of Fredholm integral equations of the second kind. The main advantage of this approach is to reduce the problem to the linear system of equations. We present the convergence theorem for this method. Finally, we give two examp...

2013
S. Salahshour Homayoun nejad

In this paper, we propose a method to obtain fuzzy solutions of duality fully fuzzy linear system (DFFLS) of the form ÃX̃ = B̃X̃ + C̃, where Ã, B̃ are fuzzy matrices and C̃, X̃ are fuzzy number vectors. To this end, we solve the 1-cut of DFFLS (which is a crisp system here) ,then some unknown spreads are allocated to any row of a 1-cut of dual fully fuzzy linear system in 1-cut position. Also, by usin...

Journal: :Appl. Soft Comput. 2013
Wen-Hsien Ho Shinn-Horng Chen Jyh-Horng Chou

Orthogonal function approach (OFA) and the hybrid Taguchi-genetic algorithm (HTGA) are used to solve quadratic finite-horizon optimal controller design problems in both a fuzzy parallel distributed compensation (PDC) controller and a non-PDC controller (linear state feedback controller) for Takagi–Sugeno (TS) fuzzy-model-based control systems for dynamic ship positioning systems (TS-DSPS). Base...

Journal: :iranian journal of optimization 2010
m. salehnegad s. abbasbandy m. mosleh m. otadi

in this paper, the concept of canonical representation is proposed to find fuzzy roots of fuzzy polynomial equations. we transform fuzzy polynomial equations to system of crisp polynomial equations, this transformation is perform by using canonical representation based on three parameters value, ambiguity and fuzziness.

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