Neutrosophic Method Research Articles

New comprehensive mean estimation using regression-cum-exponential type estimator: application with neutrosophic data

When the point estimator is used to estimate population parameters, it provides a single value. In such a scenario, the neutrosophic method is beneficial for estimating the parameters of interest in sampling theory as it yields interval estimates where the parameter value mainly originates. Neutrosophic statistics focuses on uncertain or imprecise data. In this article, we suggest a new enhanced neutrosophic class of estimators to estimate the population mean. The properties (bias and mean squared error) are derived from the first-degree approximation. The suggested estimators are useful when working with uncertain, unclear, neutrosophic-type data. The best possible values of the defining scalars characterizing constants and the minimum neutrosophic mean squared error (MSE) for the suggested estimators are determined for these ideal values. Neutrosophic estimators outperform their classical counterparts because the existing estimated interval includes the minimum MSE when estimating the population mean. We use a simulation study and a real dataset from the Islamabad Stock Exchange. Variations in parameter and estimator combinations are reflected in the MSE values. From the numerical results, the estimators , , and have substantially higher MSE values, suggesting more significant estimation error. The estimators (i=1, 2, 3, 4, and 5) show better accuracy performance with relatively minimum MSE values. The numerical outcome shows that the suggested classes of estimators perform well as compared to the existing estimators.

A Novel Neutrosophic Likert Scale Analysis of Perceptions of Organizational Distributive Justice via a Score Function: A Complete Statistical Study and Symmetry Evidence Using Real-Life Survey Data

In this study, ten questions measuring distributive justice on classical Likert and neutrosophic Likert scales consisting of two subdimensions—distributive and procedural justice—were used. Participants responded to the same questions for both the classical Likert and neutrosophic Likert scales within a single survey, with the neutrosophic method applied, for the first time, to the questions included in the scale. The neutrosophic scale responses were answered in percentages to resemble natural language, and the answers received for each question were reduced to the range [−1, 1] to grade the agreement approach through a score function used in neutrosophic decision-making theory. In this study, the neutrosophic scale, a scaling method with strong theoretical foundations, was compared with the traditional Likert scale. The results of the statistical analyses (exploratory factor analysis, reliability analysis, neural network analysis, correlation analysis, paired samples t-test, and one-way and two-way ANOVAs) and evaluations of the scales were compared to measure organizational justice within a single study. In this article, the symmetric and non-symmetric properties of statistical analysis that are specific to this paper in addition to general symmetric and non-symmetry properties are discussed. These symmetric and non-symmetric features are conceptualized according to the features on which each statistical analysis focuses. Finally, although this study presents a new area of research in the social sciences, we believe that the neutrosophic Likert scale and survey approach will contribute to collecting detailed and sensitive information on many topics, such as economics, health, audience perceptions, advertising responses, and product, market, and service purchase research, through the use of score functions.

Neutrosophic Methods and Linguistic Tools for Interpreting Human Perceptions in Complex Decision-Making

This study addresses a particular issue in relation to the disambiguation of human views, which remains critical in the current era that is the quest for suitable instruments that can cognize, simulate, and interpret the multilayered nature of the standpoint. Today, in contexts where a decision must be made that requires a synthesis of different and often-opposed points of view, such methods are very limited. This methodological gap focuses on the question where ways and means are lacking, which combine analytical accuracy and the flexibility of approaches for dealing with huge amounts of complex and unstructured information. To mitigate this problem, the study seeks for the application of neutrosophic methods and languages as a new approach for understanding human perceptions, which present a great deal of uncertainty. From the combined angles of neutrosophic logic and special linguistic devices, images from different practical situations are scrutinized. The results indicate that this method not only enhances the accuracy with which human subjectivity is simulated but also renders stronger analytical models for application in the area of organizational strategy, public policy formulation and even marketing research. In conclusion, this research extends new and significant methodological boundaries to the social and applied sciences and provides a useful approach to the problem of interpretation and decision-making in a multidimensional and time-changing society.

Measuring non-monetary poverty via machine learning and neutrosophic method: Review

Poverty is an emerging problem that most economies are facing today. The study is aimed at exploring research conducted on measuring non-monetary poverty via machine learning. Non-monetary poverty is identified through the following factors: demographics, population, distribution of income, climate, culture, ethnics, and availability of natural and artificial resources. Today, one of the most important aspects of non-monetary poverty measurement is using machine learning for multiple data points other than wealth or income to assess the quality of life of an individual or community. The socioeconomic factors that contribute poverty in emerging nations have also been found using machine learning algorithms. To achieve our goal neutrosophic model and machine learning algorithms were applied. Neutrosophic model used for reviewing the poverty indicators along with ML algorithms. While exploring the utility of machine learning in our study to measure poverty we will find the answers for the following questions: (1) Why it is important to take into consideration of non-monetary approaches while calculating poverty rate? (2) Which machine learning algorithms were used in poverty measurement? (3) What is the future scope of machine learning applications in poverty prediction? In finding answers for those questions, we have analyzed overall 10 papers which were collected according to exclusion and inclusion criteria and the purpose of the selection according to the content of the paper. During the survey it was found out that machine learning gives sophisticated data for identifying non-monetary reasons of poverty and this survey is first that uses machine learning to non-monetary poverty factors.

Proposal for the use of the neutrosophic method of Shannon entropy

The authors suggest a new approach to create a composite index by fusing of information as well as applying Shannon Entropy but ready under one challenge that exists when it comes to understanding the complex nature of the exercising data and that is integrating information from different sources that are distinct and provide different facets of an estimation into one single best. In that sense, the modern world of information system is one which has to work with data which is in most cases erroneous and sometimes even contradictory, then the perspective of fusing at such information in a fruitful manner becomes very important. However, such information is not always available as it is only after the uncertainty of the relevant data has been difficult to make optimal use of decision making ability of a model. This paper goes some way to assisting with that issue and describes a framework that involves multiple information sources as well as how information entropy models the data uncertainty. The method put forward in the study employs the integration of information fusion with the application of Shannon entropy computation to come up with a composite index that best represents the particular system of interest in terms of its intricacy and the amount of uncertainty associated with it. Furthermore, the application of this composite index has practical implications in various areas, such as risk management, business decision-making and public policy evaluation, where precision in information integration is crucial to achieve effective results.

Study Some Methods To Measure The Reliability System Neutrosophically

Industry has developed greatly nowadays, and it has been accompanied by great complexity in machines and devices. Researches that seeks to obtain high efficiencies for these machines have emerged , such as reliability theory. Due to the verity and complexity of the machines, we resort to using the neutrosophic reliability that includes cases excluded from classical reliability. The aim of this paper is to define the neutrosophic parallel system and study neutrosophic methods of calculating the neutrosophic reliability, where the basic concept neutrosophic adjacency matrix of system are present by defined neutrosophic adjacency matrix of neutrosophic graph. Two methods for calculate the neutrosophic reliability are defined conformity to neutrosophic logic which are neutrosophic minimal path method and neutrosophic tracing method. some applications have been introduced.

Neutrosophic Social Structures and Neutrosophic 2-tuples Technique for Studying Labor Insertion and Gender Inequality

This study explores the dynamics of job placement and gender inequality at the Universidad Peruana Los Andes in Huancayo, Peru, with a focus on the application of neutrosophic methods. Recognizing the nuanced differences in professional opportunities for men and women, we employ the Smarandachean theory of neutrosophic social structures to examine these disparities. During 2021-2022, we conducted surveys among university graduates, utilizing the 2-tuple linguistic neutrosophic model to measure their satisfaction levels. This approach, grounded in neutrosophy, allows for a more precise capture of the participants' thoughts and feelings by effectively incorporating the inherent indeterminacies of social phenomena. The use of these neutrosophic tools provides a deeper understanding of the complex interplay between job placement and gender in professional settings.

Leveraging Neutrosophic Uncertainty Theory toward Choosing Biodegradable Dynamic Plastic Product in Various Arenas


 Numerous studies in recent years have documented the negative effects of plastic waste on the environment and human wellness. Due to their widespread usage in daily life, particularly in packaging, and their rising direct or indirect discharge into the environment, plastics are recognized as an emerging environmental hazard. Thus, this point is considered the first problem in this study. As a result, efforts to replace traditional plastics with bioplastics have intensified. However, studies regarding the effects of conventional and bioplastics (BioPs) are also important. Hence, biodegradable polymers for industrial and commercial usage are essential in the present day as an alternative to traditional plastic. Another point considered in this study is packaging which entails the quest for new natural materials that may be included in the production of reusable, eco-friendly, and long-lasting flexible polymers. Prior studies demonstrated that starches from both tubers and grains may be processed into malleable biopolymers. Since the quality of the carbs from different vendors varies, choosing which one to work with presents a Multi-Criteria Decision-Making (MCDM) challenge. This paper proposed a neutrosophic MCDM methodology to select the best biodegradable dynamic plastic product (BDPP). The neutrosophic method is used to overcome uncertain data. The neutrosophic is integrated with the Additive Ratio Assessment (ARAS) method. The weights of the criteria are computed then the rank of BDPP is obtained by the neutrosophic ARAS method.

Neutrosophic MARCOS in Decision Making on Smart Manufacturing System

Business firms prefer software-based smart manufacturing systems to monitor and supervise all production activities in a decentralized manner. The choice of software decides the degree of manufacturing robustness. This paper proposes a neutrosophic-based MARCOS (Measurement of Alternatives and Ranking according to COmpromise Solution) method of MCDM with single-valued triangular neutrosophic numbers to solve the software selection problem. The proposed neutrosophic method is applied to hypothetical data to test the efficacy of the method. The results obtained using the proposed method are compared with crisp, fuzzy, and intuitionistic data representations, and suitable inferences are acquired. The proposed method has several industrial implications and it has several scopes of applying to other decision-making scenarios with real data sets.

Hybrid Neutrosophic- Promethee Method for Selection of Relay Node in WBAN

A wireless body area network (WBAN) is made up of small health-monitoring sensors that are implanted or placed on the human body. These sensors collect and transmit human medical and physiological data . WBANs are linked to medical servers that observe the health of patients. Because of its ability to continuously and remotely monitor patients' health, this type of network can save critical patients.WBAN is being used to establish communication links between these sensors and provide feedback to users. To provide mobility, sensor nodes must perform on electric power. As a result, the most crucial problem in WBAN is low energy consumption. It is difficult to replace the batteries in in-body sensors. To resolve this problem, we present an Neutrosophic -Promethee (Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE)method for choosing the selection of relay node, in which AHP calculates the weight of different criteria and and forwards them to the promethee technique which used for outranking them. The experimental outcomes of this study indicate that energy utilization and overall network reliability are significantly reduced. Keywords:WBAN, MCDM method, Neutrosophic method, Promethee method.

The Use of Neutrosophic Methods of Operation Research in the Management of Corporate Work

The science of operations research is one of the modern sciences that have made a great revolution in all areas of life through the methods provided by it, suitable and appropriate to solve most of the problems that were facing researchers, scholars and those interested in the development of societies, and the most beneficiaries of this science were companies and institutions that are looking for scientific methods that help them manage their work so that they achieve the greatest profit and the lowest cost, and one of the important methods that have been used in the management of companies we offer in this research two methods, Dynamic programming method. This method has been used in many practical matters and helped decision-makers in companies to achieve a maximum profit and less cost by formulating the reality of the state of the company and the data provided by decision-makers with a dynamic mathematical model that is solved using methods of solving dynamic models and we will provide in this research an example of this through the issue of choosing the optimal investment for the budget of a company so that it achieves a maximum profit, and the method of programming with integers: the method that provided these companies with solutions with integer values suitable for the nature of its work, through the use of the binary integer in the formulation of the appropriate mathematical model on the one hand, and on the other hand, the use of the binary integer variable helped to convert some nonlinear models that lead to some practical problems into linear models, and it should be noted here that in the previous two methods there is something indeterminable because we must make a decision in choosing or not choosing something, but the optimal solution that we will get remains A specific value because we are building the mathematical model for any realistic issue through the data provided by those responsible for the work and these data are calculated quantities and therefore they are uncertain values because their validity depends on the circumstances surrounding the work environment, they may be exposed to increase or decrease, and therefore the optimal solution on which the company will base its decision is suitable for specific values and any change in them can cause the company an uncalculated loss, so in this research we will use the concepts of neutrosophic science, the branch of science founded by the American scientist Florentin Smarandache in 1995 based on his belief that there is no absolute truth, a science that is interested in the study of ideas and concepts that are neither true nor false, but just in-between, and we will take the data (calculated quantities) neutrosophic values that are specified or unspecified values are any set close to the calculated quantities, then the resulting mathematical model is a neutrosophic model and the optimal solution has neutrosophic values and thanks to the indefinite uncertainty that these values have, companies from the development of appropriate plans for all circumstances and thus achieve the greatest profit and the lowest cost, and we will clarify the above through two issues, the issue of optimal designation of a warehouse site, which we will formulate the mathematical model of using the neutrosophic integer programming method - and the issue of capital budget, which we will present in two different forms, we use in the first form the neutrosophic integer programming method and in the second the neutrosophic dynamic programming method.

A neutrosophic approach to evaluate the factors affecting performance and theory of sustainable supply chain management: application to textile industry

PurposeSustainable supply chain management (SSCM) practices and policies are necessary for businesses that seek to take part in international markets and ensure any form of competitiveness. Over time, and especially in the recent past, researchers, governments, and other policymakers have made use of broad and systematic approaches and come to appreciate the value-enhancing activities of sustainability.Design/methodology/approachBusinesses have embraced the integration of sustainable policies and practices within the supply chain as a critical step in ensuring the efficiency of their operations. It is clear in previous studies and operational programs of enterprises that SSCM practices accord businesses certain benefits including improving their environmental, social, and economic performance, and increasing their ecological awareness by way of influencing performance elements within supply networks in enterprises. The study examines the factors influencing performance and theories of SSCM using a neutrosophic method in the textile industry.FindingsSSCM performance is thus of great importance in ensuring business success and competitiveness, realizing customer satisfaction, and leaving the environment in a desirable state for future generations. Performance management, by assisting in the decision-making by managers and ensuring an adequate level of internal interaction, is an integral part of assimilating sustainability management into businesses. SSCM theories also have a strong impact on the determination of the sources of competitive advantage through effective utilization of business capabilities to solve environmental and social challenges that may affect business performance.Originality/valueIn line with the benefits highlighted, this study seeks to evaluate and select the factors affecting SSCM performance and theory in textile enterprises with corporate identity in Ordu and Giresun provinces following a neutrosophic approach. To this end, the elements obtained from the literature review are evaluated using the MULTIMOORA-mGqNN method.

Neutrsophic Health Analysis in Times of COVID-19

The current COVID-19 pandemic represents a danger for which efforts have been joined to find an effective treatment. This pandemic has evolved so quickly that new data emerge daily on the number of sick and fatal cases. As of September 2021, more than 180 countries with positive COVID-19 cases have been notified to the World Health Organization, including 228,807,631 confirmed cases, including 4,697,099 deaths. So far, the Americas region is the most affected with a total of 88,207,746 confirmed cases, and during this period, Ecuador has reported 246 new infections on average each day, for a total of 507,003 infections and 32,661 deaths. To date, dissimilar methods and treatments have been used to mitigate its effects. However, no effective treatment option has been found against it, generating uncertainty, social panic, and impacts on the population's mental health as a result of the fear of infection and death. That is why the present work focuses on analyzing and determining the alternatives for the control of detection of the pandemic, through the processing of the neutrosophic TOPSIS method. It offers many benefits in the analysis of neutralities to the study of indeterminacies in the field of Medicine. The processing using neutrosophic methods allowed obtaining the best alternative to fight against COVID-19.

Presumption of Innocence: Analysis of its Application using Neutrosophic Methods

The application of the principle of innocence in Ecuador has irregularities since there has been an abuse of preventive detention, violating the constitutional and normative principle of the presumption of innocence. The justification for the preventive detention lies in the alleged need to ensure the accused's appearance. This turns this form of insurance into an early conviction because by proving his innocence at the hearing,the accused has already been unjustly deprived of his freedom, which leads him to suffer another series of damages. Therefore, it is necessary to study the subject to determine how to achieve its proper application. Thus, the main objective of this research is to analyze the legal panorama on the adequate application of the principle of innocence. For this, the neutrosophic Iadov method was applied to measure satisfaction with the regulatory legislation to determine an action plan for its correct application with the use of neutrosophic cognitive maps.

Interval Valued Neutrosophic VIKOR Method for Assessment Green Suppliers in Supply Chain

In order to remain competitive, businesses must now invest in developing environmentally responsible green suppliers. The purpose of this article is to determine which vendors should be incorporated into green supplier growth programs in order to enhance their ecological sustainability, as well as the suppliers' current greenenvironmental efficiency. Factor evaluation was used to examine the reliability of the parameters used to assess green suppliers' efficiency and overall quality. To determine which provider offers the greatest ecological performance, the suggested technique uses a hybrid interval-valued neutrosophic set (IVNS) and VIKOR structure to assign relative importance to each criterion. To manage ambiguity while choosing choices, we combine the neutrosophic method with the VIKOR technique. We used 10 criteria and ten vendors in this research to demonstrate the usefulness and effectiveness of the suggested framework. The suggested methodology is applied in the application.

Fabrication of flexible temperature sensors to explore indeterministic data analysis for robots as an application of Internet of Things.

The use of flexible electronic devices in different applications of Internet of Things, especially in robot technology, has gained importance to measure different physical factors such as temperature. Moreover, there is a need for a flexible and more informative approach to analyse the data. In this study, we report two flexible temperature sensors based on reduced graphene and multi-walled carbon nanotubes with high sensitivity and quick response and recovery times. The electrical properties of the sensors were studied using an LCR meter associated with a controlled chamber at 1 kHz. We used both classical and neutrosophic methods for analyzing the measured data of temperature sensors and found the more effective method by comparing their methods of analysis.

Selection of Experts to Validate a Research Proposal Using a Neutrosophic Method

Selection of Experts to Validate a Research Proposal Using a Neutrosophic Method

AHP–neutrosophic decision model for selection of relay node in wireless body area network

The medical health systems empowered by wireless body area networks (WBANs) are becoming a reliable technology with unmatched facilities for personalised health monitoring and managing real-time health issues. A WBAN is primarily composed of a miniature, and smart devices called sensors that are worn in, on, or around the human body. In recent years, research has been mainly centred towards the reduction of the energy consumption and stability of the network. The selection of the relay node is one of the foremost issues for balancing the energy consumption in WBAN. To overcome this issue, the authors propose a hybrid analytic hierarchy process–neutrosophic method for making the decision of the relay node selection, in which the analytic hierarchy process (AHP) technique calculates the weights for different criteria and forwards them to the neutrosophic technique which finds out the best alternative solution or choice which is closest to the ideal solution. A detailed analysis is carried out on multi-criteria decision-making techniques by comparing the proposed AHP–neutrosophic and AHP techniques taking into account various criteria and alternatives. The experimental outcomes of this research indicate a significant reduction in terms of energy consumption and enhanced overall network-stability.

Analysis of an strategic plan to increase the sales level of the company "TIENS" of Babahoyo using neutrosophic methods

Analysis of an strategic plan to increase the sales level of the company "TIENS" of Babahoyo using neutrosophic methods

Analysis of an strategic plan to increase the sales level of the company "TIENS" of Babahoyo using neutrosophic methods

Analysis of an strategic plan to increase the sales level of the company "TIENS" of Babahoyo using neutrosophic methods