Fully Fuzzy Linear System (FFLS) exists when there are fuzzy numbers on both sides of the linear systems. This system is quite significant today since most of the linear systems play with uncertainties of parameters especially in mathematics, engineering and finance. Many researchers and practitioners used the FFLS to model their problem and they apply various methods to solve it. In this paper, we present the outcome of a comprehensive review that we have done on various methods used for solving the FFLS. We classify our findings based on parameters’ type used for the FFLS either restricted or unrestricted. We also discuss some of the methods by illustrating numerical examples and identify the differences between the methods. Ultimately, we summarize all findings in a table. We hope this study will encourage researchers to appreciate the use of this method and with that it will be easier for them to choose the right method or to propose any new method for solving the FFLS.
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11 December 2015
INNOVATION AND ANALYTICS CONFERENCE AND EXHIBITION (IACE 2015): Proceedings of the 2nd Innovation and Analytics Conference & Exhibition
29 September–1 October 2015
Kedah, Malaysia
Research Article|
December 11 2015
A review on classification methods for solving fully fuzzy linear systems
Wan Suhana Wan Daud;
Wan Suhana Wan Daud
a)
1
Institute of Mathematics Engineering
, Universiti Malaysia Perlis, Pauh Putra Campus, 02600, Arau, Perlis, Malaysia
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Nazihah Ahmad;
Nazihah Ahmad
b)
2School of Quantitative Sciences, College of Arts & Sciences,
Universiti Utara Malaysia
, 06010, Sintok, Kedah, Malaysia
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Khairu Azlan Abd Aziz
Khairu Azlan Abd Aziz
c)
3Department of Sciences Mathematics and Statistics,
Universiti Teknologi MARA Perlis
, Malaysia
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AIP Conf. Proc. 1691, 040005 (2015)
Citation
Wan Suhana Wan Daud, Nazihah Ahmad, Khairu Azlan Abd Aziz; A review on classification methods for solving fully fuzzy linear systems. AIP Conf. Proc. 11 December 2015; 1691 (1): 040005. https://doi.org/10.1063/1.4937055
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