Fusion of Water Evaporation Optimization and Great Deluge: A Dynamic Approach for Benchmark Function Solving

Saman M. Almufti

doi:https://doi.org/10.54216/FPA.130102

Galoitica: Journal of Mathematical Structures and Applications | 2023

Data with Intuitionistic Plithogenic attributes and its analysis

Recent time a problem is addressed while dealing the data with multi-valued attributes and its dynamicity. The problem is that these types of data set contain lots of opposite, non-opposite and uncertainty unconsciously. One of the suitable examples is handling soil data sets and its pattern for water storage and plant growth.  The precise representation of these types of data sets and its multi-veracity is one of the crucial tasks for the data science researchers. To achieve this goal, algebra of Intuitionistic Plithogenic set and its graph is utilized in this paper. The proposed method is explained using the example of Soil pollution.

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Prem Kumar Singh mail

link https://doi.org/10.54216/GJMSA.070201

Volume & Issue

Vol. Volume 7 / Iss. Issue 2

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Galoitica: Journal of Mathematical Structures and Applications | 2023

Introduction to Symbolic 2-Plithogenic Probability Theory

In this paper we present for the first time the concept of symbolic plithogenic random variables and study its properties including expected value and variance. We build the plithogenic formal form of two important distributions that are exponential and uniform distributions. We find its probability density function and cumulative distribution function in its plithogenic form. We also derived its expected values and variance and the formulas of its random numbers generating. We finally present the fundamental form of plithogenic probability density and cumulative distribution functions. All the theorems were proved depending on algebraic approach using isomorphisms. This paper can be considered the base of symbolic plithogenic probability theory.

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Mohamed Bisher Zeina mail -

Nizar Altounji mail -

Mohammad Abobala mail -

Yasin Karmouta mail

link https://doi.org/10.54216/GJMSA.070202

Volume & Issue

Vol. Volume 7 / Iss. Issue 2

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Pure Mathematics for Theoretical Computer Science | 2023

The Decay of The Solutions of a Nonlinear Viscoelastic Hyperbolic Equation

We study under some conditions on p, m and suitable conditions on g, the decay of solutions of the nonlinear viscoelastic hyperbolic equation in problem (P) as t→+∞, with Ω is a bounded domain in R^N (N>1), with smooth boundary Γ, and a, b, w are positive constants, m≥2, P≥2, and the function g(t) satisfying some conditions. We show that the energy of solutions decays exponentially if m =2 and polynomial if m >2, provided that the initial data are small enough.

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Murtada Ali Maqdisi mail

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

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

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International Journal of Artificial Intelligence and Education Technology | 2023

Electronic Portfolio for Secondary School Teachers as a Tool for Forming its Competitiveness

The research is devoted to the actual problem of developing criteria for an electronic portfolio of a secondary school teacher according to a rating system. In the theoretical part of the research, the analysis of scientific and methodological literature on the problem of the elaboration of the content and criteria for evaluating the teacher's activity in accordance with modern requirements for the teaching profession was carried out. The respondents to this study were 1661 teachers at general education schools of the Republic of Uzbekistan. To conduct an experimental study, questions for the questionnaire were developed in accordance with the criteria of the rating system for evaluating the activities of a teacher identified during a theoretical analysis. The survey was conducted anonymously, which allows us to speak about the reliability of the results.

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Madina Zakirova mail -

Bahodir Zaripov mail

link https://doi.org/10.54216/IJAIET.020102

Volume & Issue

Vol. Volume 2 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2023

Neutrosophic Monte Carlo Simulation Approach for Decision Making In Medical Diagnostic Process Under Uncertain Environment

This work emphasis on the basic notions regarding the Neutrosophic Fuzzy Sets (NFSs) with operations and their applicability in medical diagnostic process. In this manuscript, we developed neutrosophic fuzzy set-based Monte Carlo simulation technique for the decision making in medical diagnostic processin fuzzy environment. In this work, we managed the waiting time and idle time of the doctor during the treatment process of the patients.  The various parameters are stated as linguistic variable in the form of NFSs. The developed neutrosophic Monte Carlo simulation technique (NMCST) is extended in the planning strategy of a doctor to treat the patient in a neutrosophic fuzzy environment. For the validation and authentication of the efficiency of the proposed NMCST, numerical computations are carried out with the examples of medical problems.  

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M. K. Sharma mail -

Nitesh Dhiman mail -

Shubham Kumar mail -

Laxmi Rathour mail -

Vishnu Narayan Mishra mail

link https://doi.org/10.54216/IJNS.220101

Volume & Issue

Vol. Volume 22 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2023

Unveiling Yoga’s Impact on Mental and Physical Well-Being Through Neutrosophic DEMATEL Analysis

Studying the impact of beneficiaries on yoga is the aim of this article. Due to its significance, yoga is extremely important for both mental and physical wellness. Numerous, complicated, and incompatible supporting criteria exist for the impact of yoga. The multi-criteria decision making (MCDM) strategy is an option for resolving this problem. A potent instrument for communicating the significance and influencing factors on others is the Decision-making Trial and Evaluation Laboratory (DEMATEL) technique. As a result, DEMATEL included neutrosophic sets for system analysis and manipulation. To demonstrate how to defeat this strategy, we also provide several instances.

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Ahmed E. Fakhry mail -

Myvizhi M. mail -

Ahmed M. Ali mail -

Ahmed Abdelhafeez mail

link https://doi.org/10.54216/IJNS.220102

Volume & Issue

Vol. Volume 22 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2023

A New Hybrid Neutrosophic Multi-Criteria Decision Methodology Model for Ranking Risks in International Business Administration

Due to the complexity and unpredictability of today's globalized business world, managing an international business administration (IBAS) is not without its share of risks. The necessity of efficient risk management in international business administrations is highlighted, and a summary of the main hazards that companies encounter when doing business across borders is provided in this paper. The political, economic, legal, cultural, operational, financial, compliance, competitive, environmental, sustainability, and cybersecurity risks are identified and categorized in the paper as the most significant risks in international company administrations. It stresses how important it is to recognize and manage these threats to international corporate success and longevity. This article examines the effects of political risks on international commerce, including political instability, changes in government policy, and trade barriers. It draws attention to economic risks that might have an impact on pricing, profitability, and financial performance, such as swings in exchange rates, inflation, and economic instability. This work applied the neutrosophic set with multi-criteria decision-making (MCDM) models to rank the risks in IBAS. This paper used the neutrosophic MABAC and neutrosophic COPRAS methods to rank these risks. These methods are compared with the PROMETHEE method. The results show the suggested technique is an effective model to deal with this kind of problem.

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Ather Abdulrahman Ageeli mail

link https://doi.org/10.54216/IJNS.220103

Volume & Issue

Vol. Volume 22 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2023

Positive Implicative and Commutative BS-Neutrosophic Ideals of BCK/BCI-Algebra

The notion of Positive Implicative BS-Neutrosophic Ideal, Commutative BS-Neutrosophic Ideal and related properties are investigated. Characterizations of Positive Implicative BS-Neutrosophic Ideal, Commutative BS- Neutrosophic Ideal are discussed.

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B. Satyanarayana mail -

Shake Baji mail -

D. Ramesh mail -

Said Broumi mail

link https://doi.org/10.54216/IJNS.220104

Volume & Issue

Vol. Volume 22 / Iss. Issue 1

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Fusion: Practice and Applications | 2023

Enhancing Heart Disease Diagnosis Using Machine Learning Classifiers

Heart diseases are the primary cause of death worldwide. The approximate mortality rate due to cardiovascular diseases is a staggering 18 million lives per year. many human lives could be saved with early and accurate diagnosis and prediction of such conditions. Thus, the automation of such a process is crucial and achievable with the rise of machine learning and deep learning capabilities. However, patient data is riddled with issues which must be resolved before they can be used for heart disease prediction. This research aims to improve the accuracy of heart disease diagnosis by utilizing data preprocessing techniques and classification algorithms. These techniques may provide an insight into predicting cardiovascular diseases from subtle clues before any major symptoms arise. The study employs the Heart Disease UCI dataset and follows a systematic approach to train machine learning models in the process of heart disease diagnosis. The approach utilizes a variety of data preprocessing techniques to prepare the data for model training such as MEAN missing value imputation, Normalization, Synthetic Minority Over-sampling Technique (SMOTE), and Correlation. Afterward, the preprocessed data is fed into four popular classification algorithms: Decision Tree, Random Forest, Support Vector Machine (SVM), and k-Nearest Neighbors (k-NN). These algorithms provide a broad evaluation of the dataset. The proposed methodology demonstrates promising results which clearly highlight the value and significance of data preprocessing. This is evident from the achieved accuracy, precision, recall, F1 score and ROC AUC results. In summary, the importance of preprocessing and feature selection is distinct when dealing with datasets containing various challenges. These crucial processes play a central role in building a trustworthy and precise model for heart disease prediction.

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Ahmed A. H. Alkurdi mail

link https://doi.org/10.54216/FPA.130101

Volume & Issue

Vol. Volume 13 / Iss. Issue 1

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Fusion: Practice and Applications | 2023

Fusion of Water Evaporation Optimization and Great Deluge: A Dynamic Approach for Benchmark Function Solving

The "Water Evaporation Optimization - Great Deluge" explores the synergy between the Water Evaporation Optimization Algorithm (WEOA) and the Great Deluge Algorithm (GDA) to create a novel fusion model. This research investigates the efficacy of combining these two powerful optimization techniques in addressing benchmark problems. The fusion model incorporates WEOA's dynamic exploration-exploitation dynamics and GDA's global search capabilities. By merging their strengths, the fusion model seeks to enhance convergence efficiency and solution quality. The study presents an experimental analysis of the fusion model's performance across a range of benchmark functions, evaluating its ability to escape local optima and converge towards global optima. The results provide insights into the effectiveness of the fusion model and its potential for addressing complex optimization challenges., a comprehensive performance analysis of the application of the proposed fusion model to a curated set of widely acknowledged benchmark functions, renowned for their role in evaluating the capabilities of optimization algorithms, is undertaken. By rigorously evaluating the convergence characteristics, solution quality, and computational efficiency of the algorithm, a thorough understanding of the strengths and limitations of WEOA is aimed to be provided. Through meticulous comparisons with established optimization techniques, illumination of the aptitude of WEOA in addressing diverse optimization challenges across a spectrum of problem landscapes is intended. The analytical insights, not only advancing the understanding of WEOA's applicability, but also furnishing valuable guidance for both researchers and practitioners in search of robust optimization methodologies, are proffered.

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Saman M. Almufti mail

link https://doi.org/10.54216/FPA.130102

Volume & Issue

Vol. Volume 13 / Iss. Issue 1

Details open_in_new