Abstract
In this paper, We propose a simple and practical method (that works only for triangular fuzzy numbers) to solve an arbitrary fully fuzzy linear system (FFLS) in the form \(\widetilde{A}\otimes \widetilde{x}=\widetilde{b},\) where \(\widetilde{A}_{n \times n}\) is a fuzzy matrix, \(\widetilde{x}\) and \(\widetilde{b}\) are n × 1 fuzzy vectors. The idea of the presented method is constructed based on the extending 0-cut and 1-cut solution of original fully fuzzy linear systems (FFLS). We also define a fuzzy solution of FFLS and establish the necessary and sufficient conditions for the uniqueness of a fuzzy solution.
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Abbasbandy S, Jafarian A, Ezzati R (2005) Conjugate gradient method for fuzzy symmetric positive definite system of linear equations. Appl Math Comput 171:1184–1191
Abbasbandy S, Ezzati R, Jafarian A (2006) LU decomposition method for solving fuzzy system of linear equations. Appl Math Comput 172:633–643
Abbasbandy S, Otadi M, Mosleh M (2008) Minimal solution of general dual fuzzy linear systems. Chaos Solitons Fractals 37:1113–1124
Abbasbandy S, Jafarian A (2006) Steepest descent method for system of fuzzy linear equations. Appl Math Comput 175:823–833
Abbasbandy S, Allahviranloo T, Ezzati R (2007) A method for solving fuzzy general linear systems. J Fuzzy Math 15:881–889
Allahviranloo T (2004) Numerical methods for fuzzy system of linear equations. Appl Math Comput 155:493–502
Allahviranloo T, Ahmady E, Ahmady N, Alketaby S (2006) Block Jacobi two stage method with Gauss Sidel inner iterations for fuzzy systems of linear equations. Appl Math Comput 175:1217–1228
Allahviranloo T (2003) Discussion: a comment on fuzzy linear systems. Fuzzy Sets Syst 140:559
Allahviranloo T, Mikaeilvand N, Aftabkiani N, Mastani shabestari R (2008) Signed decomposition of fully fuzzy linear systems. Appl Appl Math 3:77–88
Allahviranloo T, Salahshour S, Khezerloo M (2010) Maximal- and minimal symmetric solutions of fully fuzzy linear systems. J Comput Appl Math 235:4652–4662
Allahviranloo T, Salahshour S (2011) Bounded and symmetric solutions of fully fuzzy linear systems in dual form. Proc Comput Sci 3:1494–1498
Altinok H, Çolak R, Altin Y (2012) On the class of λ-statistically convergent difference sequences of fuzzy numbers. Soft Comput 16:1029–1034
Altin Y, Et M, Çolak R (2006) Lacunary statistical and lacunary strongly convergence of generalized difference sequences of fuzzy numbers. Comput Math Appl 52:1011–1020
Altin Y, Mursaleen M, Altinok H (2010) Statistical summability (C, 1) for sequences of fuzzy real numbers and a Tauberian theorem. J Intel Fuzzy Syst 21:379–384
Asady B, Abbasbandy S, Alavi M (2005) Fuzzy general linear systems. Appl Math Comput 169:34–40
Ban A, bede B (2006) Properties of the cross product of fuzzy numbers. J Fuzzy Math 14:513–531
Bede B, Fodor J (2006) Product type operations between fuzzy numbers and their applications in geology. Acta Polytech Hung 3:123–139
Buckley JJ, Qu Y (1991) Solving systems of linear fuzzy equations. Fuzzy Sets Syst 43:33–43
Çolak R, Altin Y, Mursaleen M (2011) On some sets of difference sequence of fuzzy numbers. Soft Comput 15:787–793
Dehghan M, Hashemi B, Ghatee M (2006) Computational methods for solving fully fuzzy linear systems. Appl Math Comput 179:328–343
Dehghan M, Hashemi B (2006) Solution of the fully fuzzy linear systems using the decomposition procedure. Appl Math Comput 182:1568–1580
Dehghan M, Hashemi B, Ghatee M (2007) Solution of the fully fuzzy linear systems using iterative techniques. Chaos Solitons Fractals 34:316–336
Di Lascio L, Gisolfi A, Loia V (1996) A new model for linguistic modifiers. Int J Approx Reason 15:25–47
Dubois D, Prade H (1980) Fuzzy sets and systems: theory and applications. Academic Press, New York
Ezzati R (2011) Solving fuzzy linear systems. Soft Comput 15:193–197
Friedman M, Ming M, Kandel A (1998) Fuzzy linear systems. Fuzzy Sets Syst 96:201–209
Friedman M, Ming M, Kandel A (2003) Discussion: author’s reply. Fuzzy Sets Syst 140:561
Liu HK (2010) On the solution of fully fuzzy linear systems. Int J Comput Math Sci 4(1)
Mosleh M, Abbasbandy S, Otadi M (2009) Full fuzzy linear systems of the form Ax + b = Cx + d. First joint congress on fuzzy and intelligent systems ferdowsi university of Mashhad- Iran, pp 29–31
Muzzioli S, Reynaerts H (2006) Fuzzy linear system of the form A 1 x + b 1 = A 2 x + b 2. Fuzzy Sets Syst 157:939–951
Otadi M, Mosleh M, Abbasbandy S (2011) Numerical solution of fully fuzzy linear systems by fuzzy neural network. Soft Comput 15:1513–1522
Puri ML, Ralescu DA (1983) Differentials of fuzzy functions. J Math Anal Appl 91:552–558
Vroman A, Deschrijver G, Kerre EE (2007) Solving systems of linear fuzzy equations by parametric functions—an improved algorithm. Fuzzy Sets Syst 158:1515–1534
Zadeh LA (1965) Fuzzy sets. Inf Control 8:338–353
Zadeh LA (1975) The concept of a linguistis variable and its application to approximate reasoning. Inf Sci 8:199–249
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Moloudzadeh, S., Allahviranloo, T. & Darabi, P. A new method for solving an arbitrary fully fuzzy linear system. Soft Comput 17, 1725–1731 (2013). https://doi.org/10.1007/s00500-013-0986-x
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DOI: https://doi.org/10.1007/s00500-013-0986-x