Solving Fully Fuzzy Linear System with the Necessary and Sufficient Condition to have a Positive Solution

This paper proposes new matrix methods for solving positive solutions for a positive Fully Fuzzy Linear System (FFLS). All coefficients on the right hand side are collected in one block matrix, while the entries on the left hand side are collected in one vector. Therefore, the solution can be gained with a non-fuzzy common step. The necessary theorems are derived to obtain a necessary and sufficient condition in order to obtain the solution.The solution for FFLS is ob tained where the entries of coefficients are unknown. The methods and results are also capable of solving Left-Right Fuzzy Linear System (LR-FLS). To best illustrate the proposed methods, numerical examples are solved and compared to the existing methods to show the efficiency of the proposed method. New numerical examples are presented to demonstrate the contributions in this paper.

[1]  Maryam Mosleh,et al.  Solving fully fuzzy matrix equations , 2012 .

[2]  Maryam Mosleh,et al.  DECOMPOSITION METHOD FOR SOLVING FULLY FUZZY LINEAR SYSTEMS , 2010 .

[3]  Silvia Muzzioli,et al.  A note on fuzzy linear systems , 2003 .

[4]  Caroline M. Eastman,et al.  Review: Introduction to fuzzy arithmetic: Theory and applications : Arnold Kaufmann and Madan M. Gupta, Van Nostrand Reinhold, New York, 1985 , 1987, Int. J. Approx. Reason..

[5]  J. Buckley,et al.  Solving systems of linear fuzzy equations , 1991 .

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

[7]  Abraham Kandel,et al.  General fuzzy least squares , 1997, Fuzzy Sets Syst..

[8]  Saeid Abbasbandy,et al.  Solving fully fuzzy linear systems by using implicit Gauss–Cholesky algorithm , 2012 .

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

[10]  Seyed Hadi Nasseri,et al.  Solving Fully Fuzzy Linear Systems by use of a Certain Decomposition of the Coefficient Matrix , 2008 .

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

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

[13]  Tofigh Allahviranloo,et al.  Signed Decomposition of Fully Fuzzy Linear Systems , 2008 .

[14]  G. Malkawi,et al.  A Note on “Solving Fully Fuzzy Linear Systems by Using Implicit Gauss–Cholesky Algorithm” , 2015 .

[15]  Saeid Abbasbandy,et al.  Numerical solution of fully fuzzy linear systems by fuzzy neural network , 2011, Soft Comput..

[16]  Fuzhen Zhang Matrix Theory: Basic Results and Techniques , 1999 .

[17]  Tofigh Allahviranloo,et al.  Maximal- and minimal symmetric solutions of fully fuzzy linear systems , 2011, J. Comput. Appl. Math..

[18]  Neetu,et al.  A new computational method for solving fully fuzzy linear systems of triangular fuzzy numbers , 2012 .

[19]  R. Ezzati,et al.  Solving Fully Fuzzy Linear System of Equations in General Form , 2012 .

[20]  Hsuan-Ku Liu,et al.  On the Solution of Fully Fuzzy Linear Systems , 2010 .

[21]  M. Lewin On nonnegative matrices , 1971 .

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

[23]  Tofigh Allahviranloo,et al.  A new metric for L–R fuzzy numbers and its application in fuzzy linear systems , 2012, Soft Comput..

[24]  Seyed Hadi Nasseri,et al.  Huang method for solving fully fuzzy linear system of equations , 2010 .

[25]  Amit Kumar,et al.  Solution of fully fuzzy linear system with arbitrary coefficients , 2011 .

[26]  Amit Kumar,et al.  Solving fully fuzzy linear system with arbitrary triangular fuzzy numbers $$( {m,\alpha ,\beta }) $$ , 2013, Soft Comput..

[27]  Lotfi A. Zadeh,et al.  The concept of a linguistic variable and its application to approximate reasoning - II , 1975, Inf. Sci..

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

[29]  T. Allahviranloo,et al.  Fully Fuzzy Linear Systems , 2011 .

[30]  D. Dubois,et al.  Operations on fuzzy numbers , 1978 .