A total uncertainty measure for Atanassov’s intuitionistic fuzzy sets

Hailin Zhang, Yafei Song, Lei Lei
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Abstract

The amount of uncertainty is important to assess the information related to uncertainty theory such as fuzzy sets. Uncertainty measure of Atanassov’s intuitionistic fuzzy sets has attracted the attention of researchers for decades. Most of proposed uncertainty measures are related to entropy measure. However, the relation between uncertainty and entropy cannot be well described, especially for the intuitionistic fuzzy sets. Other uncertainty measures developing form distance measures have the risk of information loss in applications related to decision making. In this paper, a new uncertainty measure was proposed for intuitionistic fuzzy sets, named as total uncertainty. The axiomatic properties of uncertainty measure are extended. The characteristics of the new total uncertainty measure are analyzed through strict mathematical proof and numerical examples.
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Atanassov直觉模糊集的全不确定性测度
不确定性的数量对于不确定性理论(如模糊集)的信息评估非常重要。几十年来,阿塔纳索夫直觉模糊集的不确定性测度一直受到研究者的关注。目前提出的不确定性测度大都与熵测度有关。然而,不确定性和熵之间的关系不能很好地描述,特别是对于直觉模糊集。在与决策相关的应用中,从距离度量发展而来的其他不确定性度量有信息丢失的风险。本文对直觉模糊集提出了一种新的不确定性度量,称为总不确定性。推广了不确定测度的公理性质。通过严格的数学证明和数值算例,分析了新的全不确定度测度的特点。
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