δ-open sets in Neutrosophic Hypersoft Topological Spaces

Journal of Neutrosophic and Fuzzy Systems | 2023

Integrated Multi-Criteria Decision Making Via Trapezoidal Neutrosophic Sets to Evaluate the Risks of Failure Mode

The purpose of a failure mode and effect analysis (FMEA) is to improve the safety and dependability of a system, product, procedure, or facility by identifying potential points of failure and determining the consequences of such failures. The assessment of failure modes, the weighting of risk factors, and the ranking of failure modes are all areas where the conventional FMEA falls short when put to use in the real world. To assess the hazard of failure modes in a trapezoidal neutrosophic sets environment, this research proposes a model that combines the neutrosophic sets and MCDM technique such as WASPAS. The WASPAS MCDM method is used to calculate the weights of standards and order the alternatives.  Advantages of trapezoidal neutrosophic numbers in dealing with uncertainty, ambiguity, and incompleteness are combined with the benefits of WASPAS to create the suggested risk prioritization strategy.

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Mahmoud A. Zaher mail -

Nabil M. Eldakhly mail

link https://doi.org/10.54216/JNFS.050103

Volume & Issue

Vol. Volume 5 / Iss. Issue 1

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Journal of Neutrosophic and Fuzzy Systems | 2021

Decision Making Model for Strategy Choice in Higher Education Under Neutrosophic Environment

The importance of studying the relationships between colleges, businesses, and governments has grown as a result of the recent explosion of technical advancements. The potential for national economic growth is enhanced by the dissemination of new information discovered via research. When it comes to the generation of new information that can be used by established economies, universities play a crucial role. So, in this study we proposed a framework for select best strategy in higher education. This process contains many conflicting criteria, so the concept of multi-criteria decision making (MCDM) is used. The MCDM is integrated with the triangular neutrosophic sets to overcome the vague information. The COCOSO technique is proposed to rank the alternatives. Higher education officials, including government bureaucrats and academic administrators, may put the recommended approach to use.

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Ahmed M. AbdelMouty mail

link https://doi.org/10.54216/JNFS.010206

Volume & Issue

Vol. Volume 1 / Iss. Issue 2

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Journal of Neutrosophic and Fuzzy Systems | 2023

A Study of a Neutrosophic Bernoulli's and Recati equations by Using the One-Dimensional Geometric AH-Isometry

In this paper, the definition of a Neutrosophic Differential Equation by Using the One-Dimensional Geometric AH-Isometry. The main objective is define a Neutrosophic Bernoulle's and Recati identical linear differential equation and find solutions for this equation.

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Ahmed Salamah mail -

Malath F. Alaswad mail -

Rasha Dallah mail

link https://doi.org/10.54216/JNFS.050104

Volume & Issue

Vol. Volume 5 / Iss. Issue 1

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Journal of Intelligent Systems and Internet of Things | 2022

Artificial Neural Network Based Approach for Food Recognition Using Various Filters

Food image recognition system has various applications now a day. In this paper, we have used a machine learning supervised approach and Support Vector Machine to classify different food images. SVM has been classified to detect and recognize food images with the least modification. By applying various filters like a texture filter, a segmentation method, clustering, and a SVM approach we have achieved more accuracy than other machine learning approaches with manually extracting features. Sustenance is an indivisible piece of people groups lives. we tend to apply a convolution neural network (CNN) to the undertakings of analyst work and perceiving sustenance pictures. Clarification for the wide decent variety of styles of nourishment, and picture acknowledgment of sustenance things are typically unpleasant difficulties. Nevertheless, profound learning has been demonstrated starting late to be a genuinely extreme picture acknowledgment framework, and CNN could be a dynamic approach to managing profound learning. CNN showed on a very basic level higher precision than did old-fashioned help vector-machine-based courses with carefully assembled decisions. For sustenance picture disclosure, CNN likewise demonstrated fundamentally count higher precision than a standard technique. Generally higher precision than standard techniques.

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Upma Kumari mail -

Praveen Gupta mail -

Chaur Singh Rajpoot mail

link https://doi.org/10.54216/JISIoT.070205

Volume & Issue

Vol. Volume 7 / Iss. Issue 2

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Journal of Neutrosophic and Fuzzy Systems | 2021

An Assessment Model for Evaluating MCDM Education's Effectiveness Under Interval-Valued Neutrosophic Sets

Multiple schools’ alternatives are assessed by experts based on a wide range of factors, therefore evaluating school performance may be seen as a multiple criteria decision-making (MCDM) issue. In this research, we developed a MABAC approach for evaluating MCDM education's effectiveness under interval-valued neutrosophic sets, keeping in mind the constraints posed by the assessment setting's complexity and the psychological behaviour of experts. Before everything else, experts' opinions are included in the calculation of criterion weights. Next, a novel assessment framework for assessing academic achievement in schools is developed using the MABAC model. Our research aims to provide educational institutions with the tools they need to operate at peak efficiency. In addition, other schools and allied educational institutions may use the study's findings as a benchmark in their assessments, attempts to improve performance, and formulation of educational policy.

groups

Abdullah Ali Salamai mail

link https://doi.org/10.54216/JNFS.010207

Volume & Issue

Vol. Volume 1 / Iss. Issue 2

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Journal of Intelligent Systems and Internet of Things | 2023

An Approach Based on Decision-Making Algorithms for Qos-Aware Iot Services Composition

Because there is now so many Internet of Things–based service providers globally, it will be hard to choose an Internet of Things service that is appropriate for the demand from the huge pool of Internet of Things services that are already available and display comparable characteristics. When making an acceptable choice, one can take into account the quality-of-service, or QoS, factors that characterize a certain service. In this article, we consider the Internet of Things to be the combination of its three3 potential parts, which are things, a connectivity unit, and a computational object. A definition of an IoT may contain the quality of service metrics for every one of these elements. We suggest a methodology that creates utilizes multi-criteria decision-making (MCDM) as a known approach using the MABAC method for the goal of carrying out the choice process where the quality of service parameters of different components of the internet of things act as criteria. Together, the data and our demonstration of the efficiency of the suggested strategy form a coherent whole.

groups

Abdullah Ali Salamai mail

link https://doi.org/10.54216/JISIoT.080101

Volume & Issue

Vol. Volume 8 / Iss. Issue 1

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Journal of Neutrosophic and Fuzzy Systems | 2023

A Study of a Support Vector Machine Algorithm with an Orthogonal Legendre Kernel According to Neutrosophic logic and Inverse Lagrangian Interpolation

The decision-making process is greatly affected by the data collection stage. If the data collection process is not well controlled, i.e. there is some data lost due to the poor quality of the devices used or the lack of accuracy in the data entry process...etc., this will affect the work of the SVM algorithm, which is considered one of the best. Most of the workbooks suffer from the problems of missing and anomalous data. In this paper, we propose a method to treat the missing and anomalous data by reshaping the data set defined by the classical method into the neutrosophical data set by calculating the amount of true T, false F, and neutrality I in the neutrosophical set using inverse Lagrangian interpolation. We noticed the superiority of our proposed method for processing missing data over the method of [21], then we trained a support vector machine algorithm with orthogonal legender kernel on a breast cancer dataset taken from the Statistics Department of Al-Bayrouni Hospital in Damascus, where the proposed algorithm achieved a classification accuracy of 97%. The reason we chose a support vector machine classifier with an orthogonal legender kernel has two goals: the first is to eliminate the repetition of support vectors in the feature space. The second is to solve the problem of non-linear data distribution.

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Mohammed Alshikho mail -

Maissam Jdid mail -

Said Broumi mail

link https://doi.org/10.54216/JNFS.050105

Volume & Issue

Vol. Volume 5 / Iss. Issue 1

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Journal of Neutrosophic and Fuzzy Systems |

Algebraic Approach to Neutrosophic Confidence Intervals

In this paper, confidence intervals for neutrosophic statistical populations were driven in many cases. Firstly, confidence intervals for one neutrosophic normal population parameters were driven including population’s mean which was driven under the assumption that variance is known, then it was driven under the assumption that variance is unknown and estimated based on the sample. Confidence interval for the neutrosophic variance was also driven based on sample’s estimates. Secondly, confidence intervals for two neutrosophic normal populations were driven including confidence intervals for means differences when variance are known or unknown, also confidence intervals for variances ratio for two populations were driven. All theorems and calculations were done using the AH-Isometry. Suitable numerical examples were presented and solved successfully.

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International Journal of Neutrosophic Science |

Delta open sets in Neutrosophic Hypersoft Topological Spaces

In this paper, neutrosophic hypersoft δ-open sets are introduced by defining the neutrosophic hypersoft regular open sets, pre-open sets, δ-interior and δ-closure. Under the guidance of these definitions, neutrosophic hypersoft δ semi-open sets and δ pre-open sets are also introduced. Further, we have deduced inuitionistic hypersoft topology and fuzzy hypersoft topology from the neutrosophic hypersoft topology. Moreover, we discuss about the relations between neutrosophic hypersoft δ-open sets, δ semi-open sets, δ pre-open sets, semi-open sets and pre-open sets and their properties with examples.

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International Journal of Neutrosophic Science |