基于费曼模糊型软集方法的距离和熵的度量

M. Kirişci
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引用次数: 0

摘要

本文介绍了 Fermatean 模糊软集的定义及其一些特性。Fermatean 模糊软集是 Fermatean 模糊软集的一个参数化族。Fermatean 模糊软集是软集的广义化。值得注意的是,本文给出了费马泰模糊软集的基本性质和运算。定义了 Fermatean 模糊软集的熵和距离度量。此外,我们还提出了决策问题和模式识别的两种算法。最后,我们讨论了一些示例,以证明它们可以有效地用于解决具有不确定性的问题。
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Measures of Distance and Entropy Based on Fermatean Fuzzy Type Soft Sets Approach
This paper introduces the definition of Fermatean fuzzy soft sets and some of its properties. The Fermatean fuzzy soft sets are a parameterized family of Fermatean fuzzy soft sets. Fermatean fuzzy soft sets are a generalization of soft sets. Remarkably, the basic properties and operations of Fermatean soft sets are given. Entropy and distance measures are defined for the Fermatean fuzzy soft sets. Further, we propose two algorithms for the decision-making problem and pattern recognition. Finally, illustrative examples are discussed to prove that they can be effectively used to solve problems with uncertainties.
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