International Journal of Neutrosophic Science

The revolutionary breakthroughs of artificial intelligence (AI) are swiftly and extensively invading many domains of human activity, serving as the central driving force of the next wave of informatization progress and industrial revolution. Although artificial intelligence (AI) technology and apps have been extensively explored, and variables affecting AI acceptance have been found, the influence of success factors on the acceptance of AI is still unclear. Thus, this study presents a methodology to investigate the effects of gadgets, organizations, and ecosystems on the acceptance of AI in Human Resource Management (HRM) in the UAE. This study used a neutrosophic set (NS) to overcome the vague information. The NS is integrated with the AHP method to rank the success factors in adopting AI in HRM in UAE. The AHP method is used to give importance to these factors. This study used 12 factors in UAE to rank it by the N-AHP.

The research article offers an extensive examination of extended fuzzy principles and their practical applications for addressing networking problems. Extended fuzzy principles have gained a significant impact that serve as an act of expansion from crisp and fuzzy logic, in addressing various uncertain environmental conditions. The Critical Path Method (CPM) and Project Evaluation and Review Technique (PERT) have emerged as valuable tools for tackling complex applications of network problems. The main emphasis lies on the discussion of three important extended fuzzy principles: Intuitionistic, Pythagorean, and Neutrosophic, specifically in the context of CPM/PERT. Overall, this research article aims to provide valuable insights into the application of extended fuzzy principles, enabling better decision-making under different environmental conditions. The findings contribute to the ongoing development of fuzzy extensions and their potential to overcome challenges in networking.

A relatively recent area of research known as neutrosophic statistics deals with data that are ambiguous, indeterminate, and inconsistent. By embracing the idea of neutrosophy, which denotes the existence of three components in a statement: truth, falsity, and indeterminacy, it broadens the application of classical statistics. One of the significant offshoots of statistics is life-time data analysis. Traditional statistical methods only account for variation within the data and calculate lifetime observations as accurate numbers. Actually, there are two different kinds of uncertainty in data: fluctuation between observations and fuzziness. As a result, analysis techniques that solely employ precise lifetime data and ignore fuzziness use incomplete information and produce false results. This paper sought to generalize hazard rates, survival functions, and parameter estimates for fuzzy Gompertz Distribution. Simulation studies are implemented to examine the performance of the fuzzy Gompertz Distribution. The results show that the fuzzy Gompertz Distribution has better flexibility in handling over the standard Gompertz Distribution.

Plithogenic Cognitive Map (PCM) is the generalized form of Cognitive maps that has recently ebbed into the field of decision-making. The first developed PCM model comprises of factors, connection matrix with numeric contradiction degree between the factors. In this research work a PCM model with linguistic contradiction degree representations between the core and sub factors is developed to make the decision-making more comprehensive. The model formulated in this research work is illustrated with the factors causing academic stress to the students of digital educational system. Personal, Social, Economic and Institutional are considered as the core factors and the contradiction degree in linguistic sense is considered with respect to each of these core factors and ten sub factors. The obtained results on comparing with conventional models are highly promising and this model will certainly set new benchmarks of a comprehensive decision-making model.

This article examines an Erlangian queuing model in a neutrosophic fuzzy environment. The inter-arrival rates and service rates are trapezoidal neutrosophic fuzzy numbers integrated into the Erlangian queuing model. The membership functions of the performance metrics of the corresponding queuing model have been outlined using parametric programming techniques in accordance with the (σ, β, γ)- cuts and Zadeh's extension principle. The neutrosophic fuzzy queues are converted into a family of crisp queues using this principle. The applicability of the provided approach for various cutting possibilities is highlighted by concrete examples.

The implementation of halal certification in Muslim-owned dining establishments in Malaysia faces various obstacles. This research aimed to analyze and investigate these challenges. The study used the DEMATEL approach with the integrated single-valued neutrosophic normalized weighted Bonferroni mean (SVNNWBM) to identify and understand the interrelationships among the obstacles. Three groups comprising academicians, industry professionals, and Muslim owner-restaurant representatives provided their perspectives. The findings highlighted three key obstacles hindering the acceptance and implementation of halal certification: customer perception, halal perception, and inadequate awareness. Fiscal constraints, inadequate awareness, and halal perception were significant barriers in Malaysia's restaurant sector. These obstacles were categorized as causal factors, generating additional barriers in the industry. By identifying these challenges, effective strategies can be developed to overcome them and improve the adoption of halal certification. This research provides valuable insights for policymakers, restaurant owners, and other stakeholders, enabling them to understand the obstacles better and develop targeted interventions. Employing the integrated SVNNWBM-DEMATEL approach and incorporating perspectives from experts in academia, industry, and Muslim owner-restaurant representatives ensures a comprehensive analysis of the obstacles faced in halal certification implementation.

Based on evidence choices on the transition from in-person to digital delivery of leadership and policy classes to learners in the aftermath of the COVID-19 pandemic are crucial given the significance of establishing leadership abilities throughout school. The purpose of this brief study is to locate useful instructional methods for analyzing factors of undergraduates' digital leadership and policy classes. This paper used the concept of multi-criteria decision-making (MCDM) due to various factors. The concept of a neutrosophic set is used to deal with uncertain data. Effective and adaptable tools, MCDM may be used for a wide range of environmental issues. The essay suggests an innovative approach to the problem of factors of leadership and policy in education. The neutrosophic step-wise weight assessment ratio analysis (SWARA) approach is used to analyze the factors of leadership and policy in education (FLPE).

By automating several formerly labor-intensive processes, like setting up a company's communications network, cloud computing technology (CCT) offers significant benefits to organizations and individuals. CCT is a game-changer for every sector since it enables businesses of all stripes to forego asset ownership in favor of paying variable subscription fees. The assessment of the CCT provider selection (PS) issue necessitates the identification of a set of appropriate selection requirements and their sub-criteria. Another goal is to utilize this suggested method in a real-world case study after presenting a robust integrated system for assessing and choosing the best CCT supplier. There are a variety of qualitative and quantitative characteristics that might be at odds with one another or even unclear in CCT PS, making it a challenging multi-criteria selection issue. The single valued neutrosophic set is used to overcome the vague data. The neutrosophic TOPSIS method is used to give weights of criteria and rank the alternatives. The application is introduced by the results of the neutrosophic TOPSIS method.

This study suggested a novel method for identifying the patient most impacted by alcohol by employing the triangular neutrosophic soft set-in variable sense. Environmental, biological and psychological factors, among others, have an effect on alcoholics. Alcoholics are categorized according to the severity of the affliction, and the reasons for alcoholism are examined using a mixed set of data from various observers. The Neutrosophic soft set is a crucial resource for identifying the decision-making problems in the Neutrosophic domain. This categorization inquiry has taken the form of a comparison table. It is advantageous to classify objects and individuals in a neutrosophic environment according to their calibre, aptitude, performance, etc.

International regulation is a vital function for countries in transition in terms of guidance to economic prosperity. Transition economies are defined as countries which experience the move to a market economy from a centrally planned economy. This paper discusses the governance and institutional settings of transition economies as well as the economic performance and corruption in these countries. Furthermore, it analyses the challenges in international regulation of countries in transition and proposes application of neutrosophic theory in investigating the abovementioned spheres due to the capacity of this theory in dealing with uncertainties.

Defining and utilizing Neutrosophic Multinomial Logistic Regression (NMLR) is significant in architecture because it introduces a novel approach to prioritizing the optimal alternative for adaptively reusing a historic building. This is particularly crucial in post-conflict recovery. NMLR presents an intelligent classification system and decision-making tool that optimizes the evaluation process for adaptive reuse projects, even under conditions of uncertainty. The integration of Neutrosophic sets and digital technologies provides decision-makers with a more accurate and reliable tool to make rational decisions regarding functional spaces reuse. The effectiveness of this approach is demonstrated through a case study of the Castle of Aleppo. The study determined that the most suitable alternative for the castle is a multi-purpose facility that caters to tourism. This approach can be adapted to various restoration projects, and the assessment of proposed alternatives can be customized according to the weight of the criteria by creating desktop application which contributes to the sustainability and improvement of post-disaster reconstruction efforts.

In this paper, we defined the ε, δ – filters and (φ, ρ)- filters of Lattice Wajsberg algebras and related assets are discussed. We prove that every (ε, ε)– filters are (ε, ε V δ)– filters and provide the condition for (ε, ε V δ)– filters are (ε, ε)– filters. Further conditions for ε V δ –filters are discussed.

This paper analyzes the features, positions, and results of the innovative development of Uzbekistan, and the goals and tasks of the country in this process until 2030. The authors consider measures to create conditions for the development of innovative activity. Considering the ongoing reforms in the country in the system of interaction between environmental and economic aspects of development, the paper analyzes the priority areas of eco-innovative development of the country, including measures that contribute to the transition to sustainable development based on a "green" economy. Implementation of the principles of the "green" economy associated with economic modernization, updated of technological funds, avoidance of export-raw material dependence, eco-innovative development, which ensure the sustainable development of the country are considered. This paper introduced the neutrosophic environment for analysis of factors of innovation. This paper used the neutrosophic sets to overcome the uncertain information. Then the concept of multi-criteria decision-making is used to deal with various factors. This study used the neutrosophic AHP method to identify and analyze factors of innovations. The neutrosophic AHP method is used to compute the weights of criteria, then rank it. The purpose of the study is to identify, analyze and resolve the problems of the environmental and economic aspect of the innovative development of the Republic of Uzbekistan using neutrosophic sets. The theoretical and methodological basis of the study was the works of foreign and domestic scientists devoted to the problems of innovative development, including works devoted to the study of eco-innovative development.

Flash floods are a sudden natural hazard caused by successive heavy rains in a short period of time. The world suffers from heavy and frequent rains due to climate change. So, the risk assessment of flash floods is considered increasingly important and urgent. Egypt is considered one of the countries exposed to sudden floods resulting from heavy rains, especially in Upper Egypt. Multi-criteria techniques are widely used to study and analyze the causes and effects of natural hazards. In contrast to the traditional multi-criteria techniques used in the process of estimating flood problems, we applied neutrosophic logic in this study that has a great ability for simulating and reflecting uncertain human’s thoughts in real world problems. Our study area sits in Southeast Sohag, and it is one of the most flash floods prone regions of Egypt's Eastern Desert. This area of Sohag has suffered from frequent flash floods, with some flood events resulting in human casualties in the last decades. This study focuses on using a neutrosophic stepwise weight assessment ration analysis (N-SWARA) technique with remotely sensed data and geographical information system (GIS) for producing a flash floods hazard map. The N-SWARA technique is applied to determine the weights of various factors that related to flash flooding, including elevation, slope, topographic wetness index, distance from the stream, flow accumulation, aspect, and flow direction. The obtained weight of selected criteria used then to produce the flood hazard map (FHM) using a raster calculator tool in geographic information system. The weight of each factor calculated by using the N-SWARA multi criteria analysis method and obtained the following results: 0.39 for slope, 0.21 for elevation, 0.12 for distance, 0.08 for flow direction, 0.05 for flow accumulation, 0.09 for TWI and 0.03 for aspect.

Diabetes mellitus is a disease that plagues all countries in the world. One of the affectations caused by this chronic disease is damage to peripheral nervous tissues. This is the cause of ulcers and amputations in parts of the foot of the diabetic patient. In this paper, we propose a method to evaluate the patient’s degree of preventive management of peripheral diabetic neuropathy. For this purpose, the Neutrosophic Analytic Hierarchy Process (AHP) method is used to assess the importance of factors influencing the prevention of peripheral neuropathic complications associated with diabetes mellitus in some patients. For the final evaluation, the aggregator called neutrosophic uninorm is used; especially, the operator based on the combining function utilized in the Prospector expert system.