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Score and accuracy functions for different types of spherical fuzzy sets

机译:不同类型球形模糊集的得分和精度函数

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Spherical fuzzy sets are the latest extension of the ordinary fuzzy sets, which are based on three independent parameters, namely membership degree, non-membership degree and hesitancy degree. The squared sum of these parameters must be equal or less than "1". Several papers have been published on the arithmetic operations, aggregation operators, denazification operations and many others in the literature. However, there are still gaps in these operations for different types of spherical fuzzy numbers such as triangular, trapezoidal, and left-right (LR) fuzzy numbers. In this paper, we focus on score and accuracy functions for several types of spherical fuzzy numbers by illustrating numerical examples.
机译:球形模糊集是普通模糊集的最新扩展,它基于隶属度,非隶属度和犹豫度这三个独立的参数。这些参数的平方和必须等于或小于“ 1”。在算术运算,聚合运算,脱氮运算以及许多其他文献中已经发表了几篇论文。但是,对于不同类型的球形模糊数,例如三角形,梯形和左右(LR)模糊数,在这些运算中仍然存在差距。在本文中,我们通过举例说明数值示例,着重于几种类型的球形模糊数的得分和精度函数。

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