A new computational method to solve fully fuzzy linear systems for negative coefficient matrix
Amit Kumar,
Neetu Babbar and
Abhinav Bansal
International Journal of Manufacturing Technology and Management, 2012, vol. 25, issue 1/2/3, 19-32
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. (search for similar items in EconPapers)
Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijmtma:v:25:y:2012:i:1/2/3:p:19-32
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