Title: A new computational method for solving fully fuzzy nonlinear matrix equations

Authors: A. Jafarian; R. Jafari

Addresses: Department of Mathematics, Urmia Branch, Islamic Azad University, Urmia, Iran ' Department of Information and Communication Technology, Agder University College, 4876 Grimstad, Norway

Abstract: Multi formulations and computational methodologies have been suggested to extract solution of fuzzy nonlinear programming problems. However, in some cases the methods which have been utilised in order to find the solution of these problems involve greater complexity. On the basis of the mentioned reason, the current research work is intended towards introduction of a simple method for finding the fuzzy optimal solution related to fuzzy nonlinear issues. The proposed method is validated and is confirmed to be applicable by suggesting some demonstrated examples. The results confirm that the proposed method is so easy to understand and to apply for solving fully fuzzy nonlinear system (FFNS).

Keywords: fuzzy solution; fuzzy numbers; fully fuzzy nonlinear system; fully fuzzy matrix equations.

DOI: 10.1504/IJFCM.2019.100317

International Journal of Fuzzy Computation and Modelling, 2019 Vol.2 No.4, pp.275 - 285

Accepted: 07 Dec 2017
Published online: 26 Jun 2019 *

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