On some classes of Tchebychev distance based on intuitionistic fuzzy cardinality and intuitionistic fuzzy statistical description

Romuald Thierry Dzati Kamga, Bertrand Mbama Engoulou, Siméon Fotso, L. Fono
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Abstract

The Tchebychev distance on fuzzy sets (FSs) has been proposed to construct a measure of proximity between two modalities in a two-dimensional statistical description. The parameterized symmetric difference operations and cardinality for intuitionistic fuzzy sets (IFSs) has been proposed. This paper extends to intuitionistic fuzzy set the Tchebychev distance and possibility measure on fuzzy sets. More precisely, we firstly use the parameterized symmetric difference operations and the cardinality on IFSs to propose a Tchebychev distance measure for IFSs. From these, we then deduce two examples of metrics. Secondly, we introduce an intuitionistic fuzzy mapping that preserves the properties of the fuzzy mapping. We use this mapping to propose a Tchebychev possibility measure based on IF-cardinality. This leads to define a proximity measure between two modalities of a given character in a two-dimensional intuitionistic fuzzy statistical description.
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基于直觉模糊基数和直觉模糊统计描述的切比切夫距离
提出了模糊集上的切比切夫距离(Tchebychev distance)来构造二维统计描述中两个模态之间的接近度度量。提出了直觉模糊集的参数化对称差分运算和基数。本文将模糊集上的切比切夫距离和可能性测度推广到直觉模糊集。更精确地说,我们首先利用参数化对称差分操作和ifs上的基数提出了ifs的Tchebychev距离度量。从这些,我们推导出两个度量的例子。其次,我们引入了一种保持模糊映射性质的直觉模糊映射。我们利用这个映射提出了一个基于IF-cardinality的Tchebychev可能性测度。这导致在二维直觉模糊统计描述中定义给定字符的两种模式之间的接近度量。
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