Skip to main content
Top
Published in: Soft Computing 1/2014

01-01-2014 | Methodologies and Application

On the new solutions for a fully fuzzy linear system

Authors: T. Allahviranloo, A. A. Hosseinzadeh, M. Ghanbari, E. Haghi, R. Nuraei

Published in: Soft Computing | Issue 1/2014

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

In this paper, we propose a new method to present a fuzzy trapezoidal solution, namely “suitable solution”, for a fully fuzzy linear system (FFLS) based on solving two fully interval linear systems (FILSs) that are 1-cut and 0-cut of the related FILS. After some manipulations, two FILSs are transformed to 2n crisp linear equations and 4n crisp linear nonequations and n crisp nonlinear equations. Then, we propose a nonlinear programming problem (NLP) to computing simultaneous (synchronic) equations and nonequations. Moreover, we define two other new solutions namely, “fuzzy surrounding solution” and “fuzzy peripheral solution” for an FFLS. It is shown that the fuzzy surrounding solution is placed in a tolerable fuzzy solution set and the fuzzy peripheral solution is placed in a controllable fuzzy solution set. Finally, some numerical examples are given to illustrate the ability of the proposed methods.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literature
go back to reference Allahviranloo T (2005) Successive over relaxation iterative method for fuzzy system of linear equations. Appl Math Comput 162:189–196CrossRefMATHMathSciNet Allahviranloo T (2005) Successive over relaxation iterative method for fuzzy system of linear equations. Appl Math Comput 162:189–196CrossRefMATHMathSciNet
go back to reference Allahviranloo T, Ghanbari M (2010) Solving fuzzy linear systems by homotopy perturbation method. Int J Comput Cogn 8(2):24–30 Allahviranloo T, Ghanbari M (2010) Solving fuzzy linear systems by homotopy perturbation method. Int J Comput Cogn 8(2):24–30
go back to reference Allahviranloo T, Ghanbari M, Hosseinzadeh AA, Haghi E, Nuraei R (2011) A note on “fuzzy linear systems”. Fuzzy Sets Syst 177:87–92 Allahviranloo T, Ghanbari M, Hosseinzadeh AA, Haghi E, Nuraei R (2011) A note on “fuzzy linear systems”. Fuzzy Sets Syst 177:87–92
go back to reference Allahviranloo T, Ghanbari M (2012) A new approach to obtain algebraic solution of interval linear systems. Soft Comput 16:121–133CrossRefMATH Allahviranloo T, Ghanbari M (2012) A new approach to obtain algebraic solution of interval linear systems. Soft Comput 16:121–133CrossRefMATH
go back to reference Allahviranloo T, Haghi E, Ghanbari M (2010) The nearest symmetric fuzzy solution for a symmetric fuzzy linear system. An St Univ Ovidius Constanta 20(1):151–172MathSciNet Allahviranloo T, Haghi E, Ghanbari M (2010) The nearest symmetric fuzzy solution for a symmetric fuzzy linear system. An St Univ Ovidius Constanta 20(1):151–172MathSciNet
go back to reference Allahviranloo T, Nuraei R, Ghanbari M, Haghi E, Hosseinzadeh AA (2012) A new metric for L–R fuzzy numbers and its application in fuzzy linear systems. Soft Comput 16:1743–1754CrossRefMATH Allahviranloo T, Nuraei R, Ghanbari M, Haghi E, Hosseinzadeh AA (2012) A new metric for LR fuzzy numbers and its application in fuzzy linear systems. Soft Comput 16:1743–1754CrossRefMATH
go back to reference Allahviranloo T, Salahshour S, Khezerloo M (2011) Maximal- and minimal symmetric solutions of fully fuzzy linear. J Comput Appl Math 235:4652–4662 Allahviranloo T, Salahshour S, Khezerloo M (2011) Maximal- and minimal symmetric solutions of fully fuzzy linear. J Comput Appl Math 235:4652–4662
go back to reference Dehghan M, Hashemi B, Ghatee M (2007) Solution of the fully fuzzy linear systems using iterative techniques. Chaos Solitons Fractals 34:316–336CrossRefMATHMathSciNet Dehghan M, Hashemi B, Ghatee M (2007) Solution of the fully fuzzy linear systems using iterative techniques. Chaos Solitons Fractals 34:316–336CrossRefMATHMathSciNet
go back to reference Muzzilio 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 Muzzilio 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
go back to reference Vroman A, Deschrijver G, Kerre EE (2007) Solving systems of linear fuzzy equations by parametric functions—an improved algorithm. Fuzzy Sets Syst 14:1515–1534CrossRefMathSciNet Vroman A, Deschrijver G, Kerre EE (2007) Solving systems of linear fuzzy equations by parametric functions—an improved algorithm. Fuzzy Sets Syst 14:1515–1534CrossRefMathSciNet
go back to reference Wanga X, Zhong Z, Ha M (2001) Iteration algorithms for solving a system of fuzzy linear equations. Fuzzy Sets Syst 119:121–128CrossRef Wanga X, Zhong Z, Ha M (2001) Iteration algorithms for solving a system of fuzzy linear equations. Fuzzy Sets Syst 119:121–128CrossRef
go back to reference Wu C, Ming M (1991) On embedding problem of fuzzy number space: part 1. Fuzzy Sets Syst 44:33–38CrossRefMATH Wu C, Ming M (1991) On embedding problem of fuzzy number space: part 1. Fuzzy Sets Syst 44:33–38CrossRefMATH
Metadata
Title
On the new solutions for a fully fuzzy linear system
Authors
T. Allahviranloo
A. A. Hosseinzadeh
M. Ghanbari
E. Haghi
R. Nuraei
Publication date
01-01-2014
Publisher
Springer Berlin Heidelberg
Published in
Soft Computing / Issue 1/2014
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-013-1037-3

Other articles of this Issue 1/2014

Soft Computing 1/2014 Go to the issue

Premium Partner