Numerical solution of interval and fuzzy system of linear equations

A system of linear equations, in general is solved in open literature for crisp unknowns, but in actual case the parameters (coefficients) of the system of linear equations contain uncertainty and are less crisp. The uncertainties may be considered in term of interval or fuzzy number. In this paper, a detail of study of linear simultaneous equations with interval and fuzzy parameter (triangular and trapezoidal) has been performed. New methods have been proposed for solving such systems. First, the methods have been tested for known problems viz. a circuit analysis solved in the literature and the results are found to be in good agreement with the present. Next more example problems are solved using the proposed methods to strengthen confidence on these new methods. The solutions of the example problems clearly show the efficacy and reliability of the proposed method(s).

[1]  James J. Buckley,et al.  Solving fuzzy equations in economics and finance , 1992 .

[2]  Tofigh Allahviranloo,et al.  Successive over relaxation iterative method for fuzzy system of linear equations , 2005, Appl. Math. Comput..

[3]  Madan M. Gupta,et al.  Fuzzy mathematical models in engineering and management science , 1988 .

[4]  R. Yorke,et al.  Electric circuit theory , 2013 .

[5]  Hans-Jürgen Zimmermann,et al.  Fuzzy Set Theory - and Its Applications , 1985 .

[6]  Saeid Abbasbandy,et al.  Steepest descent method for system of fuzzy linear equations , 2006, Appl. Math. Comput..

[7]  Rudolf Seising Views on Fuzzy Sets and Systems from Different Perspectives: Philosophy and Logic, Criticisms and Applications , 2009 .

[8]  Singiresu S Rao,et al.  Numerical solution of fuzzy linear equations in engineering analysis , 1998 .

[9]  Silvia Muzzioli,et al.  Fuzzy linear systems of the form A1x+b1=A2x+b2 , 2006, Fuzzy Sets Syst..

[10]  S. Gottwald,et al.  Fuzzy set theory and its applications. Second edition , 1992 .

[11]  Singiresu S Rao,et al.  Numerical solution of fuzzy linear equations in engineering analysis , 1998 .

[12]  Mehdi Dehghan,et al.  Computational methods for solving fully fuzzy linear systems , 2006, Appl. Math. Comput..

[13]  Mehdi Dehghan,et al.  Solution of the fully fuzzy linear systems using iterative techniques , 2007 .

[14]  Tofigh Allahviranloo,et al.  The Adomian decomposition method for fuzzy system of linear equations , 2005, Appl. Math. Comput..

[15]  Hadi Sadoghi Yazdi,et al.  Fuzzy Complex System of Linear EquationsApplied to Circuit Analysis , 2009, International Journal of Computer and Electrical Engineering.

[16]  Michael Hanss,et al.  Applied Fuzzy Arithmetic: An Introduction with Engineering Applications , 2004 .

[17]  Mehdi Dehghan,et al.  Iterative solution of fuzzy linear systems , 2006, Appl. Math. Comput..

[18]  Osmo Kaleva Fuzzy differential equations , 1987 .

[19]  Tofigh Allahviranloo,et al.  Numerical methods for fuzzy system of linear equations , 2004, Appl. Math. Comput..

[20]  Silvia Muzzioli,et al.  Fuzzy linear systems of the form A 1 x + b 1 = A 2 x + b 2 , 2006 .

[21]  Mehdi Dehghan,et al.  Solution of the fully fuzzy linear systems using the decomposition procedure , 2006, Appl. Math. Comput..

[22]  Abraham Kandel,et al.  Duality in fuzzy linear systems , 2000, Fuzzy Sets Syst..

[23]  F. A. Benson,et al.  Electric-circuit Theory , 1963 .

[24]  Abraham Kandel,et al.  Fuzzy linear systems , 1998, Fuzzy Sets Syst..