Title: A new computational method to solve fully fuzzy linear systems for negative coefficient matrix

Authors: Amit Kumar; Neetu Babbar; Abhinav Bansal

Addresses: School of Mathematics and Computer Applications, Thapar University, Patiala-147004, India. ' School of Mathematics and Computer Applications, Thapar University, Patiala-147004, India. ' Computer Science and Engineering Department, Thapar University, Patiala-147004, India

Abstract: In this paper, new computational methods for solving fully fuzzy linear systems (FFLS) when the coefficient matrix is negative are proposed. The proposed methods are very easy to understand and to apply for solving fully fuzzy linear systems occurring in real life situations. The methods are illustrated by solving numerical examples.

Keywords: fully fuzzy linear systems; FFLS; triangular fuzzy numbers; row reduced echelon form.

DOI: 10.1504/IJMTM.2012.047716

International Journal of Manufacturing Technology and Management, 2012 Vol.25 No.1/2/3, pp.19 - 32

Published online: 26 Nov 2014 *

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