Izadikhah, Mohammad, Zikller, Alexander Graham. (1400). Solving Fuzzy Linear System of Equations. نشریه علمی پژوهشی دانشگاه آزاد اسلامی, 15(2), 65-74.
Mohammad Izadikhah; Alexander Graham Zikller. "Solving Fuzzy Linear System of Equations". نشریه علمی پژوهشی دانشگاه آزاد اسلامی, 15, 2, 1400, 65-74.
Izadikhah, Mohammad, Zikller, Alexander Graham. (1400). 'Solving Fuzzy Linear System of Equations', نشریه علمی پژوهشی دانشگاه آزاد اسلامی, 15(2), pp. 65-74.
Izadikhah, Mohammad, Zikller, Alexander Graham. Solving Fuzzy Linear System of Equations. نشریه علمی پژوهشی دانشگاه آزاد اسلامی, 1400; 15(2): 65-74.
1Department of Mathematics, Arak Branch, Islamic Azad University, Arak, Iran
2Department of Mathematics, University of Mannheim, Baden-Württemberg, Germany
چکیده
Many real problems may often be reduced to solving a system of linear equations. However, in such real-world problems, the existence of uncertainties, like a fuzzy environment, is inevitable. Thus, the main aim of this paper is to propose a solving approach for a fuzzy linear system of equalities. The presented approach is based on the nearest weighted approximation of fuzzy numbers. Two numerical examples illustrate the capabilities of the proposed approach.
Pan VY, Qian G. Randomized Preprocessing of Homogeneous Linear Systems of Equations. Linear Algebra Appl [Internet]. 2010;432(12):3272–318. Available from: https://www.sciencedirect.com/science/article/pii/S0024379510000364
Pan VY, Qian G. Solving linear systems of equations with randomization, augmentation and aggregation. Linear Algebra Appl [Internet]. 2012;437(12):2851–76. Available from: https://www.sciencedirect.com/science/article/pii/S002437951200506X
Kong Q, Siauw T, Bayen AM. Chapter 14 - Linear Algebra and Systems of Linear Equations. In: Kong Q, Siauw T, Bayen AMBT-PP and NM, editors. Academic Press; 2021. p. 235–63. Available from: https://www.sciencedirect.com/science/article/pii/B9780128195499000245
Izadikhah M. A fuzzy goal programming based procedure for Machine Tool Selection. J Intell Fuzzy Syst. 2015;28(1).
Izadikhah M, Khoshroo A. Energy management in crop production using a novel fuzzy data envelopment analysis model. RAIRO - Oper Res. 2018;52(2).
Horčík R. Solution of a system of linear equations with fuzzy numbers. Fuzzy Sets Syst [Internet]. 2008;159(14):1788–810. Available from: https://www.sciencedirect.com/science/article/pii/S0165011408000134
Vroman A, Deschrijver G, Kerre EE. Solving systems of linear fuzzy equations by parametric functions—An improved algorithm. Fuzzy Sets Syst [Internet]. 2007;158(14):1515–34. Available from: https://www.sciencedirect.com/science/article/pii/S0165011406005562
Behera D, Chakraverty S. Solving fuzzy complex system of linear equations. Inf Sci (Ny) [Internet]. 2014;277:154–62. Available from: https://www.sciencedirect.com/science/article/pii/S0020025514001182
Piegat A, Pluciński M. Application of the multidimensional RDM-arithmetic for verification of nestedness of the solution of the linear fuzzy equation system. Procedia Comput Sci [Internet]. 2021;192:533–42. Available from: https://www.sciencedirect.com/science/article/pii/S1877050921015428
Saeidifar A. Application of weighting functions to the ranking of fuzzy numbers. Comput Math with Appl [Internet]. 2011;62(5):2246–58. Available from: http://www.sciencedirect.com/science/article/pii/S0898122111005669
Asady B. Interval Linear Systems. Math Sci J. 2005;1(1):15–22.
Izadikhah M, Saeidifar A, Roostaee R. Extending TOPSIS in fuzzy environment by using the nearest weighted interval approximation of fuzzy numbers. J Intell Fuzzy Syst. 2014;27:2725–2736.
Izadikhah M, Roostaee R, Emrouznejad A. Fuzzy Data Envelopment Analysis with Ordinal and Interval Data. Int J Uncertainty, Fuzziness Knowledge-Based Syst [Internet]. 2021 May 5;29(03):385–410. Available from: https://doi.org/10.1142/S0218488521500173