Ghassan Malkawi
Northern Borders University
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Publication
Featured researches published by Ghassan Malkawi.
Analele Universitatii "Ovidius" Constanta - Seria Matematica | 2015
Ghassan Malkawi; Nazihah Ahmad; Haslinda Ibrahim
Abstract This paper provides accurate approximate solutions for the symmetric fuzzy linear systems in (Allahviranloo et al:[1]).
imt gt international conference mathematics statistics and their applications | 2017
Ghassan Malkawi; Hassan Y. Alfifi
In this paper, the consistency of fuzziness of positive solution of the n × n fully fuzzy linear system (P – FFLS) is studied based on its associated linear system (P – ALS). That can consist of the whole entries of triangular fuzzy numbers in a linear system without fuzzy operations. The nature of solution is differentiated in case of fuzzy solution, non-fuzzy solution and fuzzy non-positive solution. Moreover, the analysis reveals that the P – ALS is applicable to provide the set of infinite number of solutions. Numerical examples are presented to illustrate the proposed analysis.
INTERNATIONAL CONFERENCE ON MATHEMATICS, ENGINEERING AND INDUSTRIAL APPLICATIONS 2016 (ICoMEIA2016): Proceedings of the 2nd International Conference on Mathematics, Engineering and Industrial Applications 2016 | 2016
Wan Suhana Wan Daud; Nazihah Ahmad; Ghassan Malkawi
Sylvester matrix equation is one of the most popular equations used in control theory. In applying the uncertainty, vague, ambiguity and incomplete real problem, this equation can be employed with the fuzzy theory. In this study, we present a preliminary study on how the Sylvester matrix equation is solved when its parameters are fuzzy or known as fully fuzzy Sylvester matrix equation (FFSME). This study shows that the FFSME can be transferred to linear system, as in the case of crisp linear Sylvester matrix equation. We also show that the transformation of FFSME to linear system passes on fully fuzzy linear system (FFLS), subsequently the solution of FFLS is obtained by its associated linear system, which equivalent to fuzzy solution of FFSME. A numerical example is given to illustrate this transformation. Finally, we draw some conclusions concerning the related future directions towards this study.
INTERNATIONAL CONFERENCE ON QUANTITATIVE SCIENCES AND ITS APPLICATIONS (ICOQSIA 2014): Proceedings of the 3rd International Conference on Quantitative Sciences and Its Applications | 2014
Ghassan Malkawi; Nazihah Ahmad; Haslinda Ibrahim
The solution of Fully Fuzzy Linear System (FFLS) is normally categorized as unique, finite and infinitely many solutions. However, in the case of more than one solution, the finite or alternative solution is not detected when linear programming is considered. Therefore this paper aims to provide a method of using min-max system and absolute system to append new concept for the consistency of FFLS, which is called finite solution of FFLS, where the FFLS have more than two solutions, and not only an infinite solution.
Applied Mathematics & Information Sciences | 2014
Ghassan Malkawi; Nazihah Ahmad; Haslinda Ibrahim
Journal of Fuzzy Set Valued Analysis | 2014
Ghassan Malkawi; Nazihah Ahmad; Haslinda Ibrahim; Bander Alshmari
Computational Mathematics and Modeling | 2015
Ghassan Malkawi; Nazihah Ahmad; Haslinda Ibrahim; Diya’ J. Albayari
Journal of Uncertainty Analysis and Applications | 2014
Ghassan Malkawi; Nazihah Ahmad; Haslinda Ibrahim
Far East Journal of Mathematical Sciences | 2015
Ghassan Malkawi; Nazihah Ahmad; Haslinda Ibrahim
Archive | 2018
Wan Suhana Wan Daud; Nazihah Ahmad; Ghassan Malkawi