Title of article :
Row Reduced Echelon Form for Solving Fully Fuzzy System with Unknown Coefficients
Author/Authors :
Malkawi، Ghassan نويسنده School of Quantitative Sciences, College of Arts & Sciences, University Utara Malaysia, 06010 Sintok, Kedah, Malaysia , , Ahmad، Nazihah نويسنده School of Quantitative Sciences, College of Arts & Sciences, University Utara Malaysia, 06010 Sintok, Kedah, Malaysia , , Ibrahim، Haslinda نويسنده School of Quantitative Sciences, College of Arts & Sciences, University Utara Malaysia, 06010 Sintok, Kedah, Malaysia , , Alshmari، Bander نويسنده Mathematics Department, College of Arts & Sciences, Northern Borders University, Rafha, Kingdom of Saudi Arabia ,
Issue Information :
روزنامه با شماره پیاپی سال 2014
Pages :
18
From page :
1
To page :
18
Abstract :
This study proposes a new method for finding a feasible fuzzy solution in positive Fully Fuzzy Linear System (FFLS), where the coefficients are unknown. The fully fuzzy system is transferred to linear system in order to obtain the solution using row reduced echelon form, thereafter; the crisp solution is restricted in obtaining the positive fuzzy solution. The fuzzy solution of FFLS is included crisp intervals, to assign alternative values of unknown entries of fuzzy numbers. To illustrate the proposed method, numerical examples are solved, where the entries of coefficients are unknown in right or left hand side, to demonstrate the contributions in this study.
Journal title :
Journal of Fuzzy Set Valued Analysis
Serial Year :
2014
Journal title :
Journal of Fuzzy Set Valued Analysis
Record number :
1435207
Link To Document :
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