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摘要:
The system of linear equations plays a vital role in real life problems such as optimization, economics, and engineering. The parameters of the system of linear equations are modeled by taking the experimental or observation data. So the parameters of the system actually contain uncertainty rather than the crisp one. The uncertainties may be considered in term of interval or fuzzy numbers. In this paper, a detailed study of three solution techniques namely Classical Method, Extension Principle method and α-cuts and interval Arithmetic Method to solve the system of fuzzy linear equations has been done. Appropriate applications are given to illustrate each technique. Then we discuss the comparison of the different methods numerically and graphically.
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篇名 Comparison of Classical Method, Extension Principle and α-Cuts and Interval Arithmetic Method in Solving System of Fuzzy Linear Equations
来源期刊 美国计算数学期刊(英文) 学科 数学
关键词 Fuzzy Set CLASSICAL Solution Extension Principle α-Cut and INTERVAL ARITHMETIC METHOD
年,卷(期) 2019,(1) 所属期刊栏目
研究方向 页码范围 1-24
页数 24页 分类号 O1
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Fuzzy
Set
CLASSICAL
Solution
Extension
Principle
α-Cut
and
INTERVAL
ARITHMETIC
METHOD
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
美国计算数学期刊(英文)
季刊
2161-1203
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
355
总下载数(次)
1
总被引数(次)
0
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