Zenat Mohamed, Mahmoud M.Ismail, Amal F.Abd El-Gawad
The success of every company relies heavily on the happiness of its workforce, and the logistics service sector is no exception. The capacity of logistics suppliers to satisfy the demands of their clients depends on the efficiency and efficacy of operations, which in turn is affected by the level of employee satisfaction. This paper aims to analyze the factors of employee satisfaction in the logistic service industry to achieve productivity and a satisfied workforce. This paper used the multi-criteria decision-making (MCDM) methodology to handle various factors. The SWARA method is an MCDM method used to compute the importance of factors. The SWARA is integrated with the neutrosophic set to handle uncertain data. This paper used single-valued neutrosophic numbers to evaluate the factors by the experts. The application of the proposed methodology is conducted. We achieved the positive work ecological is essential to the success of any business, and this is especially true in the logistics service sector. When workers feel appreciated and supported, they are more likely to give their all at work, which in turn boosts output, morale, and retention. However, given that job security isn't the only element that influences employee happiness and retention, some would say that it's the least essential aspect. So this paper can aid any organization to increase productivity and employee satisfaction by showing the importance of various employee satisfaction in logistic services.
{"title":"Analysis Impact of Intrinsic and Extrinsic Motivation on Job Satisfaction in Logistics Service Sector: An Intelligent Neutrosophic Model","authors":"Zenat Mohamed, Mahmoud M.Ismail, Amal F.Abd El-Gawad","doi":"10.61356/j.nswa.2023.20","DOIUrl":"https://doi.org/10.61356/j.nswa.2023.20","url":null,"abstract":"The success of every company relies heavily on the happiness of its workforce, and the logistics service sector is no exception. The capacity of logistics suppliers to satisfy the demands of their clients depends on the efficiency and efficacy of operations, which in turn is affected by the level of employee satisfaction. This paper aims to analyze the factors of employee satisfaction in the logistic service industry to achieve productivity and a satisfied workforce. This paper used the multi-criteria decision-making (MCDM) methodology to handle various factors. The SWARA method is an MCDM method used to compute the importance of factors. The SWARA is integrated with the neutrosophic set to handle uncertain data. This paper used single-valued neutrosophic numbers to evaluate the factors by the experts. The application of the proposed methodology is conducted. We achieved the positive work ecological is essential to the success of any business, and this is especially true in the logistics service sector. When workers feel appreciated and supported, they are more likely to give their all at work, which in turn boosts output, morale, and retention. However, given that job security isn't the only element that influences employee happiness and retention, some would say that it's the least essential aspect. So this paper can aid any organization to increase productivity and employee satisfaction by showing the importance of various employee satisfaction in logistic services.","PeriodicalId":169974,"journal":{"name":"Neutrosophic Systems with Applications","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127143572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ahmed M.AbdelMouty, Ahmed Abdel-Monem, Samah Ibrahim, Abdel Aal, Mahmoud M.Ismail
In today's global economy, the Healthcare supply chain (HCSC) must be aware of a market that is both complicated and ever-changing. The HCSC in Industry 4.0 aims to give patients the medicine they need as quickly and cheaply as possible. The HCSC can improve operations by automating routine tasks and reducing human error by using new technologies like the "Internet of Things" (IoT); so, there is a need to analyze the role of IoT and Industry 4.0 in the Healthcare Supply Chain. This paper aims to analyze the role of IoT and Industry 4.0 in HCSC. Also, this paper proposes a framework using a single-valued neutrosophic set with multi-criteria decision-making (MCDM) to overcome uncertainty and deal with the various criteria and features. This paper used the 18 criteria and nine suppliers as an application in the healthcare supply chain. The results concluded that the proposed framework could handle uncertain data and give more effective results in analyzing the role of IoT and Industry 4.0 in HCSC.
{"title":"Analysis the Role of the Internet of Things and Industry 4.0 in Healthcare Supply Chain Using Neutrosophic Sets","authors":"Ahmed M.AbdelMouty, Ahmed Abdel-Monem, Samah Ibrahim, Abdel Aal, Mahmoud M.Ismail","doi":"10.61356/j.nswa.2023.15","DOIUrl":"https://doi.org/10.61356/j.nswa.2023.15","url":null,"abstract":"In today's global economy, the Healthcare supply chain (HCSC) must be aware of a market that is both complicated and ever-changing. The HCSC in Industry 4.0 aims to give patients the medicine they need as quickly and cheaply as possible. The HCSC can improve operations by automating routine tasks and reducing human error by using new technologies like the \"Internet of Things\" (IoT); so, there is a need to analyze the role of IoT and Industry 4.0 in the Healthcare Supply Chain. This paper aims to analyze the role of IoT and Industry 4.0 in HCSC. Also, this paper proposes a framework using a single-valued neutrosophic set with multi-criteria decision-making (MCDM) to overcome uncertainty and deal with the various criteria and features. This paper used the 18 criteria and nine suppliers as an application in the healthcare supply chain. The results concluded that the proposed framework could handle uncertain data and give more effective results in analyzing the role of IoT and Industry 4.0 in HCSC.","PeriodicalId":169974,"journal":{"name":"Neutrosophic Systems with Applications","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129598051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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 scope of applying to other decision-making scenarios with real data sets.
商业公司更喜欢基于软件的智能制造系统，以分散的方式监控和监督所有生产活动。软件的选择决定了制造稳健性的程度。针对软件选择问题，提出了一种基于单值三角中性数的MCDM的MARCOS (Measurement of Alternatives and Ranking according to COmpromise Solution)方法。将提出的嗜中性方法应用于假设数据，以检验该方法的有效性。将该方法与清晰、模糊、直观的数据表示方法进行了比较，得到了相应的推理结果。所提出的方法具有若干工业意义，并具有若干适用于具有真实数据集的其他决策场景的范围。
{"title":"Neutrosophic MARCOS in Decision Making on Smart Manufacturing System","authors":"Nivetha Martin, Said Broumi, S.Sudha, R.Priya","doi":"10.61356/j.nswa.2023.14","DOIUrl":"https://doi.org/10.61356/j.nswa.2023.14","url":null,"abstract":"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 scope of applying to other decision-making scenarios with real data sets. \u0000 \u0000 ","PeriodicalId":169974,"journal":{"name":"Neutrosophic Systems with Applications","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128222694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The use of robots in various stages of the production process is now commonplace across practically all sectors of the economy. Additionally, even for present-day small and medium-sized businesses, this has developed into a very powerful need in recent years and continues to grow in importance. The selection of an industrial robot is a very complicated decision-making issue due to the fact that there are numerous aspects and criteria that are in conflict with one another, as almost all of the earlier research emphasized. In addition, the many sophisticated requirements that have been added to these robots by the makers of robotics have led the level of complexity to expand even further. As a result, decision-makers are faced with increasingly complex decision-making difficulties that are influenced by a great deal of uncertainty. As a result of this, a combined neutrosophic multi-criteria decision-making (MCDM) approach may assist in resolving a significant number of the ambiguities that are suggested in the present article. Initially, the Entropy method was used to evaluate the criteria set for the study under the neutrosophic environment. Then, the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) method was used to evaluate and rank five robots used in the automotive industry. The results indicate that the criteria of performance and working accuracy are the most influential criteria in choosing the most appropriate robot. Also, the results indicate that the KAWASAKI robot is the best choice in the manufacturing process for the automotive industry.
{"title":"A Hybrid MCDM Approach for Industrial Robots Selection for the Automotive Industry","authors":"A. Gamal, Mona Mohamed","doi":"10.61356/j.nswa.2023.13","DOIUrl":"https://doi.org/10.61356/j.nswa.2023.13","url":null,"abstract":"The use of robots in various stages of the production process is now commonplace across practically all sectors of the economy. Additionally, even for present-day small and medium-sized businesses, this has developed into a very powerful need in recent years and continues to grow in importance. The selection of an industrial robot is a very complicated decision-making issue due to the fact that there are numerous aspects and criteria that are in conflict with one another, as almost all of the earlier research emphasized. In addition, the many sophisticated requirements that have been added to these robots by the makers of robotics have led the level of complexity to expand even further. As a result, decision-makers are faced with increasingly complex decision-making difficulties that are influenced by a great deal of uncertainty. As a result of this, a combined neutrosophic multi-criteria decision-making (MCDM) approach may assist in resolving a significant number of the ambiguities that are suggested in the present article. Initially, the Entropy method was used to evaluate the criteria set for the study under the neutrosophic environment. Then, the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) method was used to evaluate and rank five robots used in the automotive industry. The results indicate that the criteria of performance and working accuracy are the most influential criteria in choosing the most appropriate robot. Also, the results indicate that the KAWASAKI robot is the best choice in the manufacturing process for the automotive industry. \u0000 \u0000 ","PeriodicalId":169974,"journal":{"name":"Neutrosophic Systems with Applications","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124455443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Every day, new reports of cyberattacks on interconnected control systems emerge. The vulnerability of their communication mechanism makes similar control systems a target for malicious outsiders. Protecting sensitive data and maintaining network reliability and availability are two of the main reasons why network security is so important. Strong and dependable network security strategies use a number of safeguards to protect users and businesses from malware and cyber assaults like distributed denial of service. A safety analysis is an essential step that must precede the introduction of any security measures. There hasn't been much experience with cyberattacks on power control systems yet, therefore it's important to develop a method for thoroughly assessing the safety of power control technologies used in data transmission systems. A prior study has identified the authority control process evaluation of security and the safety level of each control stage as two of the primary obstacles to effective security assessment. For this reason, this article provides a safety risk evaluation of the communication networks of power management and control technologies (PMCT) using the neutrosophic Evaluation Based on Distance from Average Solution (EDAS) method. A prime instance of a multi-criteria decision-making (MCDM) issue is used to solve the security risk assessment in the power system. In this study, we offer an interval-valued neutrosophic version of the EDAS approach for solving the MCDM issue. The neutrosophic EDAS method is used to rank and assess the security risks in power system.
{"title":"Neutrosophic MCDM Methodology for Assessment Risks of Cyber Security in Power Management","authors":"Ahmed M.AbdelMouty, Ahmed Abdel-Monem","doi":"10.61356/j.nswa.2023.18","DOIUrl":"https://doi.org/10.61356/j.nswa.2023.18","url":null,"abstract":"Every day, new reports of cyberattacks on interconnected control systems emerge. The vulnerability of their communication mechanism makes similar control systems a target for malicious outsiders. Protecting sensitive data and maintaining network reliability and availability are two of the main reasons why network security is so important. Strong and dependable network security strategies use a number of safeguards to protect users and businesses from malware and cyber assaults like distributed denial of service. A safety analysis is an essential step that must precede the introduction of any security measures. There hasn't been much experience with cyberattacks on power control systems yet, therefore it's important to develop a method for thoroughly assessing the safety of power control technologies used in data transmission systems. A prior study has identified the authority control process evaluation of security and the safety level of each control stage as two of the primary obstacles to effective security assessment. For this reason, this article provides a safety risk evaluation of the communication networks of power management and control technologies (PMCT) using the neutrosophic Evaluation Based on Distance from Average Solution (EDAS) method. A prime instance of a multi-criteria decision-making (MCDM) issue is used to solve the security risk assessment in the power system. In this study, we offer an interval-valued neutrosophic version of the EDAS approach for solving the MCDM issue. The neutrosophic EDAS method is used to rank and assess the security risks in power system.","PeriodicalId":169974,"journal":{"name":"Neutrosophic Systems with Applications","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133746213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zenat Mohamed, Mahmoud M.Ismail, Neutrosophic Amal F.Abd El-Gawad
Several obstacles stand in the way of companies trying to adopt green supply-chain practices. The purpose of this research is to examine the challenges faced by the industrial industry in adopting green supply chain practices and to provide potential solutions. The information for this research was gathered via in-depth, personal conversations with manufacturing sector managers who are well-versed in green supply chain practices. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) technique was used in the evaluation phase to evaluate obstacles and assess efficient options for introducing green supply chain practices. The TOPSIS method is integrated with the neutrosophic set. The neutrosophic set is used to deal with uncertain data. This study used eight barriers to analysis and eight solutions to rank. We obtained collaboration as the best solution. To find places for improvement and garner support for sustainability efforts, it is helpful to work together with suppliers, customers, and other stakeholders.
{"title":"Neutrosophic Model to Examine the Challenges Faced by Manufacturing Businesses in Adopting Green Supply Chain Practices and to Provide Potential Solutions","authors":"Zenat Mohamed, Mahmoud M.Ismail, Neutrosophic Amal F.Abd El-Gawad","doi":"10.61356/j.nswa.2023.17","DOIUrl":"https://doi.org/10.61356/j.nswa.2023.17","url":null,"abstract":"Several obstacles stand in the way of companies trying to adopt green supply-chain practices. The purpose of this research is to examine the challenges faced by the industrial industry in adopting green supply chain practices and to provide potential solutions. The information for this research was gathered via in-depth, personal conversations with manufacturing sector managers who are well-versed in green supply chain practices. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) technique was used in the evaluation phase to evaluate obstacles and assess efficient options for introducing green supply chain practices. The TOPSIS method is integrated with the neutrosophic set. The neutrosophic set is used to deal with uncertain data. This study used eight barriers to analysis and eight solutions to rank. We obtained collaboration as the best solution. To find places for improvement and garner support for sustainability efforts, it is helpful to work together with suppliers, customers, and other stakeholders. \u0000 \u0000 ","PeriodicalId":169974,"journal":{"name":"Neutrosophic Systems with Applications","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124339011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Many scholars have been interested in the subject of machine tool selection as a result of the growing number of different machines and the continuous advancement of technology associated with these machines. The selection of an unsuitable machine tool may lead to a variety of issues, including limitations on production capacities and productivity indicators when taking into account both time and money from an industrial and practical perspective. The present strategy of selecting machine tools, known as multi-criteria decision-making (MCDM), relies on the subjective viewpoint the vast majority of the time. When selecting an appropriate machining tool, however, it is necessary to take both the subjective and objective points of view into consideration. This is due to the fact that the objective assessment accurately reflects the performance of the machine tools. As a result, the purpose of this work is to provide a strategy for selecting machine tools that are based on an innovative hybrid MCDM framework. The study was conducted under a neutrosophic environment and using triangular neutrosophic numbers (TNNs). In the beginning, the CRiteria Importance through Intercriteria Correlation (CRITIC) method is used to assess and prioritize the criteria set for the study. Then, the Additive Ratio Assessment (ARAS) method is applied to evaluate and rank four machine tools that were selected and used as alternatives in the study. The results indicate that the criteria of maximum spindle speed and linkage accuracy are the most important in determining the best machine tool. Also, the results indicate that the best alternative among the four tools used is FIDLA GTF-28. As a result, the requirements and priorities for research in the future are highlighted.
{"title":"An Intelligent Decision Support Model for Optimal Selection of Machine Tool under Uncertainty: Recent Trends","authors":"Ibrahim M. Hezam","doi":"10.61356/j.nswa.2023.12","DOIUrl":"https://doi.org/10.61356/j.nswa.2023.12","url":null,"abstract":"Many scholars have been interested in the subject of machine tool selection as a result of the growing number of different machines and the continuous advancement of technology associated with these machines. The selection of an unsuitable machine tool may lead to a variety of issues, including limitations on production capacities and productivity indicators when taking into account both time and money from an industrial and practical perspective. The present strategy of selecting machine tools, known as multi-criteria decision-making (MCDM), relies on the subjective viewpoint the vast majority of the time. When selecting an appropriate machining tool, however, it is necessary to take both the subjective and objective points of view into consideration. This is due to the fact that the objective assessment accurately reflects the performance of the machine tools. As a result, the purpose of this work is to provide a strategy for selecting machine tools that are based on an innovative hybrid MCDM framework. The study was conducted under a neutrosophic environment and using triangular neutrosophic numbers (TNNs). In the beginning, the CRiteria Importance through Intercriteria Correlation (CRITIC) method is used to assess and prioritize the criteria set for the study. Then, the Additive Ratio Assessment (ARAS) method is applied to evaluate and rank four machine tools that were selected and used as alternatives in the study. The results indicate that the criteria of maximum spindle speed and linkage accuracy are the most important in determining the best machine tool. Also, the results indicate that the best alternative among the four tools used is FIDLA GTF-28. As a result, the requirements and priorities for research in the future are highlighted. \u0000 \u0000 ","PeriodicalId":169974,"journal":{"name":"Neutrosophic Systems with Applications","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130617759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Manas Karak, Animesh Mahata, Mahendra Rong, Sankar Supriya Mukherjee, Prasad Mondal, Said Broumi, Banamali Roy, S. Mondal
In this article, we presented a ranking system based on the sign distance in a new direction, such that to compare different single-valued neutrosophic numbers (SVN-numbers), a decision maker has the chance of flexibility. We also developed some important definitions, like level-(α,β,γ) neutrosophic point, and some properties related to the sign distance ranking function. Finally, the sign distance ranking function is applied to solving the neutrosophic transportation problem (NTP) with SVN-number converted into a transportation problem (TP) with crisp data, and to illustrate the appropriateness of this function, we gave two numerical illustrations.
{"title":"A Solution Technique of Transportation Problem in Neutrosophic Environment","authors":"Manas Karak, Animesh Mahata, Mahendra Rong, Sankar Supriya Mukherjee, Prasad Mondal, Said Broumi, Banamali Roy, S. Mondal","doi":"10.61356/j.nswa.2023.5","DOIUrl":"https://doi.org/10.61356/j.nswa.2023.5","url":null,"abstract":"In this article, we presented a ranking system based on the sign distance in a new direction, such that to compare different single-valued neutrosophic numbers (SVN-numbers), a decision maker has the chance of flexibility. We also developed some important definitions, like level-(α,β,γ) neutrosophic point, and some properties related to the sign distance ranking function. Finally, the sign distance ranking function is applied to solving the neutrosophic transportation problem (NTP) with SVN-number converted into a transportation problem (TP) with crisp data, and to illustrate the appropriateness of this function, we gave two numerical illustrations.","PeriodicalId":169974,"journal":{"name":"Neutrosophic Systems with Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124388274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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
{"title":"The Use of Neutrosophic Methods of Operation Research in the Management of Corporate Work","authors":"Maissam Jdid, F. Smarandache","doi":"10.61356/j.nswa.2023.11","DOIUrl":"https://doi.org/10.61356/j.nswa.2023.11","url":null,"abstract":"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 ","PeriodicalId":169974,"journal":{"name":"Neutrosophic Systems with Applications","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115031452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this article, we first establish some results based on single-valued neutrosophic sets. Next, we define a subspace topology in a neutrosophic topological space and investigate some properties. We then define the neutrosophic T0, T1, T2-spaces and study their various properties offering adequate examples.
{"title":"Separation Axioms in Neutrosophic Topological Spaces","authors":"Sudeep Dey, Gautam Chandra","doi":"10.61356/j.nswa.2023.9","DOIUrl":"https://doi.org/10.61356/j.nswa.2023.9","url":null,"abstract":"In this article, we first establish some results based on single-valued neutrosophic sets. Next, we define a subspace topology in a neutrosophic topological space and investigate some properties. We then define the neutrosophic T0, T1, T2-spaces and study their various properties offering adequate examples.","PeriodicalId":169974,"journal":{"name":"Neutrosophic Systems with Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130270290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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