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Notes on Intuitionistic Fuzzy Sets最新文献

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Modifications of the Goguen's intuitionistic fuzzy implication 对Goguen直觉模糊含义的修正
Pub Date : 2021-12-01 DOI: 10.7546/nifs.2021.27.4.20-29
J. Kacprzyk, K. Čunderlíková, Nora A. Angelova, K. Atanassov
On the basis of the Goguen’s intuitionistic fuzzy implication, seven of its modifications are constructed. Some of their basic properties are studied. The negations, generated by these implications are introduced and some of their properties are also described.
在Goguen的直觉模糊含义的基础上,构造了它的七个修正。研究了它们的一些基本性质。介绍了由这些暗示产生的否定,并描述了它们的一些性质。
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引用次数: 0
Intuitionistic fuzzy quasi-interior ideals of semigroups 半群的直觉模糊拟内理想
Pub Date : 2021-12-01 DOI: 10.7546/nifs.2021.27.4.36-43
Sinem Tarsuslu (Yılmaz)
In this study, it is purposed to introduced the concept of quasi-interior ideal on intuitionistic fuzzy semigroups. The concept introduced is supported with examples and its basic algebraic properties are examined.
在本研究中,引入了直觉模糊半群上的拟内理想的概念。通过实例证明了所引入的概念,并检验了它的基本代数性质。
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引用次数: 0
Operation Δ as the tool for the de-i-fuzzification procedure and for the correction of the unconscientious experts' evaluations 操作Δ作为工具的去模糊化程序和纠正不负责任的专家的评价
Pub Date : 2021-12-01 DOI: 10.7546/nifs.2021.27.4.9-19
Lilija Atanassova, P. Dworniczak
In this paper, the Δ operation is discussed as an appropriate tool for the de-i-fuzzification procedure. Some properties of the Δ operation are presented. A known way of the correction of the unconscientious experts’ evaluations in the intuitionistic fuzzy environment is given as the result of the Δ operation.
本文讨论了Δ操作作为去模糊化过程的合适工具。介绍了Δ操作的一些性质。作为Δ运算的结果,给出了一种已知的在直觉模糊环境下对不负责任的专家评价进行修正的方法。
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引用次数: 0
Intuitionistic fuzzy evaluation of artificial neural network model 人工神经网络模型的直觉模糊评价
Pub Date : 2021-12-01 DOI: 10.7546/nifs.2021.27.4.71-77
T. Petkov, Veselina Bureva, Stanislav Popov
In this paper a method that evaluates a trained artificial neural network is presented. The learning type of an artificial neural network is supervised learning which requires labeled input training vectors. Labeled medical data is provided to train the network, where the labels can either be 1 if the person is alive, or 0 if the person has deceased. The data is divided into training and validation vectors. The validation input vectors are used to evaluate the model and the results are summarized by using intuitionistic fuzzy values.
本文提出了一种对训练好的人工神经网络进行评价的方法。人工神经网络的学习类型是监督学习,它需要标记输入训练向量。提供标记的医疗数据来训练网络,其中标签可以是1,如果该人还活着,或者是0,如果该人已经死亡。数据被分为训练向量和验证向量。使用验证输入向量对模型进行评价,并使用直觉模糊值对结果进行总结。
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引用次数: 0
Categorical properties of intuitionistic fuzzy groups 直觉模糊群的范畴性质
Pub Date : 2021-12-01 DOI: 10.7546/nifs.2021.27.4.55-70
P. K. Sharma, Chandni
The category theory deals with mathematical structures and relationships between them. Categories now appear in most branches of mathematics and in some areas of theoretical computer science and mathematical physics, and acting as a unifying notion. In this paper, we study the relationship between the category of groups and the category of intuitionistic fuzzy groups. We prove that the category of groups is a subcategory of category of intuitionistic fuzzy groups and that it is not an Abelian category. We establish a function β : Hom(A, B) → [0; 1] × [0; 1] on the set of all intuitionistic fuzzy homomorphisms between intuitionistic fuzzy groups A and B of groups G and H, respectively. We prove that β is a covariant functor from the category of groups to the category of intuitionistic fuzzy groups. Further, we show that the category of intuitionistic fuzzy groups is a top category by establishing a contravariant functor from the category of intuitionistic fuzzy groups to the lattices of all intuitionistic fuzzy groups.
范畴论研究的是数学结构和它们之间的关系。分类现在出现在数学的大多数分支以及理论计算机科学和数学物理的某些领域,并作为一个统一的概念。本文研究了群的范畴与直觉模糊群的范畴之间的关系。证明群的范畴是直觉模糊群范畴的子范畴,不是阿贝尔范畴。我们建立了函数β: hm (a, B)→[0;1] × [0];1]分别求G和H的直觉模糊群A和B之间的所有直觉模糊同态集合。证明了β是从群的范畴到直觉模糊群的范畴的协变函子。进一步,通过建立从直觉模糊群的范畴到所有直觉模糊群的格的逆变函子,证明了直觉模糊群的范畴是一个顶范畴。
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引用次数: 1
On intuitionistic fuzzy version of Zadeh's extension principle 论Zadeh可拓原理的直觉模糊版本
Pub Date : 2021-10-01 DOI: 10.7546/nifs.2021.27.3.9-17
Selami Bayeğ, R. Mert
In this paper, by using alpha- and beta-cuts approach and the intuitionistic fuzzy Zadeh’s extension principle, we have proved a result which reveals that the alpha- and beta-cuts of an intuitionistic fuzzy number obtained by the intuitionistic fuzzy Zadeh’s extension principle coincide with the images of the alpha- and beta-cuts by the crisp function. Then we have given a corollary about monotonicity of the extension principle. Finally, we have extended these results to IF_N(mathbb{R}) times IF_N(mathbb{R}).
本文利用alpha -和beta -切法和直觉模糊Zadeh的可拓原理,证明了由直觉模糊Zadeh的可拓原理得到的直觉模糊数的alpha -切和beta -切与由酥函数得到的alpha -切和beta -切的图像重合的结果。然后给出了可拓原理单调性的一个推论。最后,我们将这些结果推广到IF_N(mathbb{R}) times IF_N(mathbb{R})。
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引用次数: 6
Norms over intuitionistic fuzzy congruence relations on rings 环上直觉模糊同余关系的范数
Pub Date : 2021-10-01 DOI: 10.7546/nifs.2021.27.3.51-68
R. Rasuli
In this paper, by using norms, we define the concept of intuitionistic fuzzy equivalence relations and intuitionistic fuzzy congruence relations on ring R and we investigate some assertions. Also we define intuitionistic fuzzy ideals of ring R under norms and compare this with fuzzy equivalence relation and fuzzy congruence relation on ring R such that we define new introduced ring.
本文利用范数定义了环R上的直觉模糊等价关系和直觉模糊同余关系的概念,并研究了一些断言。定义了环R在范数下的直觉模糊理想,并与环R上的模糊等价关系和模糊同余关系进行了比较,从而定义了新的引入环。
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引用次数: 0
On а study on intuitionistic fuzzy r-normal spaces 直觉模糊r-正规空间的研究
Pub Date : 2021-10-01 DOI: 10.7546/nifs.2021.27.3.69-82
M. S. Islam, R. Islam, M. Hossain
The purpose of this paper is to give some new inferences of intuitionistic fuzzy normal spaces based on the concept of the most studied topics as fuzzy topological spaces. After that, the authors embed an implication among these notions and show that all these conceptions are good extensions of normal spaces. Moreover, the image and the pre-image of intuitionistic fuzzy normal space are also intuitionistic fuzzy normal space.
本文的目的是在模糊拓扑空间概念的基础上,给出直觉模糊正规空间的一些新的推论。然后,作者在这些概念中嵌入了一个蕴涵,并证明了这些概念都是正规空间的良好扩展。而且,直觉模糊正态空间的象和前象也是直觉模糊正态空间。
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引用次数: 0
Application of intuitionistic fuzzy sets to environmental management 直觉模糊集在环境管理中的应用
Pub Date : 2021-10-01 DOI: 10.7546/nifs.2021.27.3.40-50
I. M. Adamu
Environmental management is a decision making problem with a great deal of uncertainties. Intuitionistic fuzzy sets provide a model to elaborate these uncertainties and vagueness involve in decision making. This paper, proposes an application of intuitionistic fuzzy set to environmental management in order to determine the type of erosion(s) affecting some towns for an effective control measure that has to be taken using a distance function. In order to achieve this, a set of erosions and their causes are assumed, and also we assume a survey for the set of towns to determine the type of erosion approaching them for an effective control measure to be taken.
环境管理是一个具有大量不确定性的决策问题。直觉模糊集为决策过程中的不确定性和模糊性提供了一种模型。本文提出了一种将直觉模糊集应用于环境管理的方法,以确定影响城镇的侵蚀类型,并利用距离函数采取有效的控制措施。为了实现这一目标,我们假设了一组侵蚀及其原因,并假设了一组城镇的调查,以确定接近它们的侵蚀类型,以便采取有效的控制措施。
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引用次数: 4
Intuitionistic fuzzy transport equation 直觉模糊输运方程
Pub Date : 2021-10-01 DOI: 10.7546/nifs.2021.27.3.83-97
Zineb Belhallaj, S. Melliani, M. Elomari, L. S. Chadli
In the present paper, we use the generalized differentiability concept to study the intuitionistic fuzzy transport equation. We consider transport equation in the homogeneous and non-homogeneous cases with intuitionistic fuzzy initial condition. To illustrate the results, we will solve an advection equation using the finite difference method.
本文利用广义可微性概念研究了直觉模糊输运方程。研究了具有直觉模糊初始条件的齐次和非齐次输运方程。为了说明结果,我们将用有限差分法求解一个平流方程。
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引用次数: 3
期刊
Notes on Intuitionistic Fuzzy Sets
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