:: Volume 2, Issue 2 (6-2012) ::
2012, 2(2): 0-0 Back to browse issues page
Solutions of Fuzzy Linear Systems using Ranking function
M. A. Jahantigh, S. Khezerloo, A. A. Hosseinzadeh, M. Khezerloo
Abstract:   (8341 Views)
In this work, we propose an approach for computing the compromised solution of an LR fuzzy linear system by using of a ranking function when the coefficient matrix is a crisp mn matrix. To do this, we use expected interval to find an LR fuzzy vector, X , such that the vector (AX ) has the least distance from (b) in 1 norm and the 1 cut of X satisfies the crisp linear system AX = b . Then, we solve the constrained LP-problem by using LINGO 11 software package and obtain optimal fuzzy number solution. Finally, we illustrate the proposed method by solving two numerical examples. Keywords: Fuzzy Linear System, Fuzzy LR Number, Expected Interval, Ranking Function, Fuzzy Number Solution.
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Type of Study: Research | Subject: Special
Received: 2012/06/11 | Published: 2012/06/15

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Volume 2, Issue 2 (6-2012) Back to browse issues page