Some Results on Single Valued Neutrosophic (Weak) Polygroups

Madeleine Al-

doi:https://doi.org/10.54216/IJNS.020102

Journal of Cybersecurity and Information Management | 2020

Red Palm Weevil Detection Methods: A Survey

Many pests affect plants, and these have a negatively affected agricultural production and cause a lack of quality. These causes an economic loses and high poverty rates. Many types of pests infest trees like insects, viruses, bacteria, and harmful parasitic plants. One of the most dangerous insects that infest trees such as [date, canary, sago, oil, coconut, etc…] is the Red Palm Weevil (RPW). RPW is currently considered as a global pest, killing trees, increases the tree temperature and causes water stress. It lays the eggs inside the trunk of the tree and starts feeding on the tissue of the plant, then begins to move inside the tree and still inside it until the tree dies, then begin move to the neighboring plants. The early detection of this destructive weevil is not easy; because the visible infection symptoms appear only when the infection stage is dangerous. There are many detection methods for discovering the infected trees, a Visual Inspection, Acoustic Detection, Chemical Detection, and Thermal remote sensing. In this research, we will discuss the different methods used for the early detection of this harmful weevil.

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Hanan Ahmed mail

link https://doi.org/10.54216/JCIM.010103

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Vol. Volume 1 / Iss. Issue 1

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Journal of Cybersecurity and Information Management | 2020

Data Mining Algorithms for Kidney Disease Stages Prediction

One of the most common health problems that correlated to serious complications is chronic kidney disease. Early detection and treatment can save it from progression. Machine learning is one tool that used historical data to improve future decision about prediction of chronic kidney disease.  The aim of this work is to compare the performance of six different models based on accuracy, sensitivity, precision, recall.  In this study, the experiments were conducted on 158 records downloaded from UCI repository. Six algorithms ( K-Nearest Neighbor, Naïve Bayes, Support Vector machine, Logistic Regression, Decision Tree, and Random Forest )  were implemented on data after preprocessing stage.   Evaluation of models resulted in Naïve Bayes and Random Forest accuracy 100%, Sensitivity 100%, Specificity 100%, precision 100 %, Recall 100% respectively. It is concluded that Naïve Bayes and Random Forest are better than other models.

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Abdelrahim Koura -

Hany S. Elnashar mail

link https://doi.org/10.54216/JCIM.010104

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Vol. Volume 1 / Iss. Issue 1

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American Journal of Business and Operations Research | 2020

A New Similarity Measure of Picture Fuzzy Sets And Application in pattern recognition

In this paper, we propose some novel similarity measures between picture fuzzy sets. The novel similarity measure is constructed by combining negative functions of each degree membership of picture fuzzy set. We apply them in several pattern recognition problems. Finally, we apply them to find the fault diagnosis of the steam turbine.

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Ngoc Minh Chau, Nguyen Thi Lan, Nguyen Xuan Thao mail

link https://doi.org/10.54216/AJBOR.010101

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Vol. Volume 1 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2020

There is No Constant in Physics: a Neutrosophic Explanation

In Neutrosophic Logic, a basic assertion is that there are variations of about everything that we can measure; the variations surround three parameters called T,I,F (truth, indeterminacy, falsehood) which can take a range of values. Similarly, in this paper we consider NL applications in physics constants. Those constants actually all have a window of plus and minus values, relative to the average value of the constant. For example, speed of light, c, can vary in a window up to +/- 3000 m/s. Therefore it should be written: 300000 km/s +/- 3 km/s. We also discuss some implications of this new perspective of physics constants, including in gravitation physics etc. 

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Victor Christianto mail -

Robert N. Boyd mail -

Florentin Smarandache mail

link https://doi.org/10.54216/IJNS.010105

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Vol. Volume 1 / Iss. Issue 1

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American Journal of Business and Operations Research | 2020

Fuzzy Clustering and Classification based Iris Recognition: A Medical Application

The Iris based authentication framework is basically a pattern recognition strategy that utilizes iris designs, which are factually unique. In this study, an efficient iris recognition system is developed with the help of Possibilistic Fuzzy C-Means Clustering (PFCM) and Fuzzy Logic classifier (FLC). The proposed methodology consists of four modules namely, pre-processing, segmentation, normalization and recognition. Initially, in the pre-processing module, the input images are adjusted to do further processing. Then, we segment the iris region from the input image with the help of PFCM. After that, the segmented image is normalized with the help of the Daugman Robber Sheet Model (DRS). Finally, the iris image is recognized with the help of FLC. The performance of the proposed methodology is analyzed in terms of different metrics namely, accuracy, false acceptance ratio (FAR) and false rejection ratio (FRR). Experimental results demonstrate, proposed PFCM+FLC method attains a better accuracy of 97.5%

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K. Shankar mail

link https://doi.org/10.54216/AJBOR.010102

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Vol. Volume 1 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2020

Plithogenic set for multi-variable data analysis

The m-polar and multi-dimensional data sets given a platform to deal with multi--valued attributes. In this case, a problem addressed that sometimes the attributes may contain many types of opposites, non--opposites and neutrals values as for example Rainbow. One of the best examples is sports data sets where each time the value of an attribute changes several time towards the given team, the opposition of the given team as well as draw conditions. The precise representation of these types of data sets and their mathematical analysis are crucial tasks for the research communities. The current paper tried to develop new mathematical set theories for precise representation and analysis of sports data via plithogenic set and its mathematical algebra.

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Prem Kumar Singh mail

link https://doi.org/10.54216/IJNS.010204

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International Journal of Neutrosophic Science | 2020

Three Possible Applications of Neutrosophic Logic in Fundamental and Applied Sciences

In Neutrosophic Logic, a basic assertion is that there are variations of about everything that we can measure; the variations surround three parameters called T,I,F (truth, indeterminacy, falsehood) which can take a range of values. This paper shortly reviews the links among aether and matter creation from the perspective of Neutrosophic Logic. Once we accept the existence of aether as physical medium, then we can start to ask on what causes matter ejection, as observed in various findings related to quasars etc. One particular cosmology model known as VMH (variable mass hypothesis) has been suggested by notable astrophysicists like Halton Arp and Narlikar, and the essence of VMH model is matter creation processes in various physical phenomena. Nonetheless, matter creation process in Nature remains a big mystery for physicists, biologists and other science researchers. To this problem Neutrosophic Logic offers a solution. We also discuss two other possible applications of Neutrosophic Logic. In short, Neutrosophic Logic may prove useful in offering resolution to long standing conflicts.

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Victor Christianto mail -

Robert N. Boyd mail -

Florentin Smarandache mail

link https://doi.org/10.54216/IJNS.010205

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Vol. Volume 1 / Iss. Issue 2

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International Journal of Neutrosophic Science | 2020

Volume 1-Table of Contents

 Volume 1-Table of Contents- International Journal of Neutrosophic Science (IJNS)

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International Journal of Neutrosophic Science (IJNS) mail

link Volume 1-Table of Contents, International Journal of Neutrosophic Science (IJNS)

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Vol. Volume 1 / Iss. Volume - Table of Contents

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International Journal of Neutrosophic Science | 2020

Introduction to Neutrosophic Subtraction Algebra and Neutrosophic Subtraction Semigroup

The objective of this paper is to introduce and study the notion of neutrosophic subtraction algebras and neutrosophic subtraction semigroups. It also introduces the notion of neutrosophic ideals of neutrosophic subtraction semigroup and presents some of their basic properties. In addition, the notion of neutrosophic homomorphism of neutrosophic subtraction semigroups and neutrosophic quotient subtraction semigroups was also introduced.

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M.A. Ibrahim, A.A.A. Agboola , E.O. Adeleke, S.A. Akinleye mail

link https://doi.org/10.54216/IJNS.020101

Volume & Issue

Vol. Volume 2 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2020