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An Advanced Arithmetic Approach to GTIFNs and Its Application in Medical Analysis

机译:GTIFN的高级算术方法及其在医学分析中的应用

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摘要

Intuitionistic fuzzy set (IFS) is the straight, simplification of fuzzy set theory (FST). Nevertheless, estimation of the arithmetic operation on generalized intuitionistic fuzzy number (GIFNs) is a critical apprehension. This paper presents an attempt to set up a novel method for effectively resolving the drawbacks of conform arithmetic operations on generalized triangular intuitionistic fuzzy numbers (GTIFNs). For this purpose, decomposition theorems for generalized trapezoidal intuitionistic fuzzy numbers (GTrFNs) are studied. Numerical examples are illustrated herewith. Finally, to validate the requirement of a novel elucidation, an application in medical analysis has been carried out under this setting.
机译:直觉模糊集(IFS)是模糊集理论(FST)的直线简化。然而,估计广义直觉模糊数(Gifns)的算术运算是一种关键忧虑。本文提出了一种尝试建立一种有效解决广义三角形直觉模糊数(GTIFNS)的符合算术运算缺点的新方法。为此目的,研究了广义梯形直觉模糊数(GTRFN)的分解定理。这里示出了数值例子。最后,为了验证新颖阐释的要求,在该环境下进行了医学分析的应用。

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