International Journal of Neutrosophic Science

Journal DOI

https://doi.org/10.54216/IJNS

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2690-6805ISSN (Online) 2692-6148ISSN (Print)

Bipolar Neutrosophic Finite Switchboard State Machines

Aiyared Iampan , U. Venkata Kalyani , T. Eswarlal , G. V. R. Reddy

The notion of bipolar neutrosophic finite switchboard state machines (BNFSSTMs), homomorphisms and strong homomorphisms of bipolar neutrosophic finite state machines (BNFSSTMs) are introduced and some related results are studied.

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Doi: https://doi.org/10.54216/IJNS.210204

Vol. 21 Issue. 2 PP. 59-70, (2023)

Weakly Generalized M-Closed and Strongly M-Generalized Closed Sets in Fuzzy Neutrosophic Topological Spaces

Zahraa A. Khalaf , Fatimah M. Mohammed

The current study presents a new concept of sets and called fuzzy neutrosophic weakly generalized M-closed and fuzzy neutrosophic strongly M-generalized closed sets in fuzzy neutrosophic topological space. Actually, this  study is an extended form of a research conducted by Z.A. Khalaf, F. M. Mohammed [1]. Moreover, it presents certain related relations of these notions as well as some theorems, propositions with some necessary examples.

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Doi: https://doi.org/10.54216/IJNS.210201

Vol. 21 Issue. 2 PP. 08-19, (2023)

On various Inverse of Neutrosophic Fuzzy Matrices

M. Anandhkumar , B. Kanimozhi , S. M.Chithra , V. Kamalakannan , Broumi Said

In this article, we discuss various Inverses Minimum norm g-inverse, Least square g-inverse, Moore Penrose inverse, Group Inverse, Generalized Symmetric Neutrosophic Fuzzy Matrices. Also we describes secondary k-column symmetric Neutrosophic fuzzy matrices are produced. It is discussed how s-k-column symmetric, s-column symmetric, k-column symmetric, and column symmetric Neutrosophic fuzzy matrices   relate to one another. For an Neutrosophic fuzzy matrices   to be an s-k-column symmetric Neutrosophic fuzzy matrices, necessary and sufficient requirements are identified.  

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Doi: https://doi.org/10.54216/IJNS.210202

Vol. 21 Issue. 2 PP. 20-31, (2023)

More on Open Maps and Closed Maps in Fuzzy Hypersoft Topological Spaces and Application in Covid-19 Diagnosis using Cotangent Similarity Measure

S. Aranganayagi , M. Saraswathi , K. Chitirakala

maps, fuzzy hypersoft pre open maps, fuzzy hypersoft δ open maps, fuzzy hypersoft δ pre open maps, fuzzy hypersoft δ semi open maps, fuzzy hypersoft e open maps, fuzzy hypersoft δα open maps, fuzzy hypersoft e∗ open maps and their respective closed maps in fuzzy hypersoft topological spaces. Also, we have discussed the properties of various forms of fuzzy hypersoft open and closed maps. Moreover, a new cotangent similarity measure for fuzzy hypersoft sets is introduced and an application in Covid-19 diagnosis is explained with an example.

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Doi: https://doi.org/10.54216/IJNS.210203

Vol. 21 Issue. 2 PP. 32-58, (2023)

On Neutrosophic filter and fantastic filter of BL-algebras

A. Ibrahim , S. Karunya Helen Gunaseeli

The main aim of this paper is to present a few characteristics of the neutrosophic filter of BL-algebras. Also, we introduce the notion of the neutrosophic fantastic filter of BL-algebras with an illustration and discuss a few of its properties. Moreover, we prove every neutrosophic fantastic filter is a neutrosophic filter in BL-algebras. Finally, we acquire an extension property and equivalent condition of the neurosophic fantastic filter of BL-algebras.

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Doi: https://doi.org/10.54216/IJNS.210205

Vol. 21 Issue. 2 PP. 59-67, (2023)

Heart Disease Prediction using Neutrosophic C-Means Clustering Algorithm

Piedad Acurio Padilla , Evelyn Betancourt Rubio , Walter Vayas Valdiviezo , Mohammed k. Hassan

Heart disease, often known as cardiovascular illness, encompasses a broad range of heart-related disorders and has emerged as the leading cause of mortality during the last few decades everywhere in the globe. Numerous hazards are linked to cardiovascular disease, and timely, effective, and practical methods for making an early diagnosis are required for effective and efficient treatment. In this study, we describe a novel clustering technique for data that is unreliable clustering called neutrosophic c-means (NCM), which draws inspiration from both fuzzy c-means and the neutrosophic set architecture. The NCM is used to predict heart disease. There are four different databases included in the collection, all of which were created in 1988: Cleveland, Hungary, Switzerland, and Long Beach V. There are 76 qualities total, such as the anticipated characteristic, however only 14 have been used in any of the published trials.

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Doi: https://doi.org/10.54216/IJNS.210206

Vol. 21 Issue. 2 PP. 68-74, (2023)