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Articles 61 - 90 of 522
Full-Text Articles in Entire DC Network
A Neutrosophic Model For Measuring Evolution, Involution, And Indeterminacy In Species: Integrating Common And Uncommon Traits In Environmental Adaptation, Antonios Paraskevas, Michael Madas
A Neutrosophic Model For Measuring Evolution, Involution, And Indeterminacy In Species: Integrating Common And Uncommon Traits In Environmental Adaptation, Antonios Paraskevas, Michael Madas
Neutrosophic Systems with Applications
In 2017, Professor F. Smarandache introduced the Neutrosophic Theory of Evolution, Involution, and Indeterminacy (or Neutrality) (NToEIaI). He concluded that every theory of evolution is characterized by a certain degree of truth, indeterminacy, and untruth, as in neutrosophic logic. In this perspective, he raised several open questions on evolution, neutrality, and involution that required further research effort. Very recently, in 2024, Smarandache conducted research, from a soft sciences/philosophical viewpoint, on identifying and studying common parts in uncommon things and uncommon parts in common things emphasizing the complexity and interconnectedness of concepts within the context of neutrosophy. In this article, we …
Automation Of Medical Facilities, Automation Of Diagnostic Processes For Intelligent Primary Diagnosis Of Diseases Of The Oral Cavity., Otabek Ismailov, X.F. Temirova
Automation Of Medical Facilities, Automation Of Diagnostic Processes For Intelligent Primary Diagnosis Of Diseases Of The Oral Cavity., Otabek Ismailov, X.F. Temirova
Chemical Technology, Control and Management
A mathematical machine learning model for dental disease diagnosis plays an important role in medicine with high accuracy, speed, and personalization capabilities. This allows for increased efficiency not only for patients but also for medical personnel. For this reason, in this article, an improved mathematical model has been developed to effectively detect dental diseases.
Comprehensive Framework For Collaborative Decision-Making In Evaluating Computer Network Security Using Interval Neutrosophic Information, Wenbao Qiao
Neutrosophic Sets and Systems
Computer network security (CNS) evaluation is crucial for protecting information assets and maintaining the stable operation of network systems. Through this evaluation, potential threats and vulnerabilities within the network can be systematically identified, effectively preventing possible cyber-attacks and data breaches. Additionally, network security evaluation helps enterprises and organizations allocate security resources appropriately, enhancing their ability to respond to emergencies and ensuring business continuity and data integrity. In summary, network security evaluation is one of the foundational tasks for achieving continuous, secure, and stable network operations. The CNS evaluation is multiple-attribute group decision making (MAGDM). Then, the generalized TODIM(GTODIM) approach has …
Improving Teaching Quality Assessment In Smart Classrooms For English Majors: An Integrated Double-Valued Neutrosophic Decision-Making Model, Lu Luo, Cong Wang
Improving Teaching Quality Assessment In Smart Classrooms For English Majors: An Integrated Double-Valued Neutrosophic Decision-Making Model, Lu Luo, Cong Wang
Neutrosophic Sets and Systems
The evaluation of multimedia-based college English teaching aims to assess the impact of multimedia technology on teaching quality and student learning outcomes. With the introduction of multimedia, classroom interactivity is enhanced, and students' interest and engagement are increased. Additionally, multimedia provides more opportunities for self-directed learning, helping students reinforce knowledge outside the classroom. However, the evaluation must focus on the alignment of technology with teaching objectives and whether the use of multimedia truly improves students' language skills and classroom efficiency. The evaluation of smart classroom teaching quality for English majors in universities is a multi-attribute decision-making (MADM) problem. Recently, methods …
On Neutrosophy Logic For Multiple Correlation Analysis In Fuzzy Uncertain Database, Samar Wazir, M.M.Sufyan Beg, Tanvir Ahmad, Shahab Saquib Sohail
On Neutrosophy Logic For Multiple Correlation Analysis In Fuzzy Uncertain Database, Samar Wazir, M.M.Sufyan Beg, Tanvir Ahmad, Shahab Saquib Sohail
Neutrosophic Sets and Systems
The primary goal of this paper is to introduce a novel method for mining frequent and interesting items by incorporating correlation analysis between two items in an uncertain transactional database using the OWA operator. The work is further expanded by proposing two additional methods for mining frequent and interesting items, utilizing fuzzy means and the OWA operator along with multiple correlation analysis for more than two items in uncertain transactional databases. The effectiveness of the proposed methods is evaluated by running the algorithms on both standard and example datasets, with results compared to the traditional probabilistic approach for identifying frequent …
Relational Analysis Framework With 2-Tuple Linguistic Neutrosophic Set For Building Material Supplier Selection, Cheng Yang
Neutrosophic Sets and Systems
Choosing building materials suppliers is crucial as it directly affects the quality, cost, and timeline of a project. Quality suppliers ensure the reliability and consistency of materials, reducing construction risks. The right suppliers offer competitive pricing and flexible delivery schedules, helping control budgets and optimize resource use. Additionally, suppliers' professional support and technical services can enhance construction efficiency and quality. By carefully selecting suppliers, project teams can establish long-term partnerships, improving overall construction standards and market competitiveness. Thus, supplier selection is a key factor in the success of construction projects. The process of selecting and applying building material suppliers (BMSs) …
Incorporating Intelligence In Multiple-Attribute Decision-Making Using Algorithmic Framework And Double-Valued Neutrosophic Sets: Varied Applications To Employment Quality Evaluation For University Graduates, Qiuyan Zhao, Wentao Li
Incorporating Intelligence In Multiple-Attribute Decision-Making Using Algorithmic Framework And Double-Valued Neutrosophic Sets: Varied Applications To Employment Quality Evaluation For University Graduates, Qiuyan Zhao, Wentao Li
Neutrosophic Sets and Systems
The evaluation of university employment quality is a comprehensive assessment of graduates' employment status and its alignment with market demands. This evaluation typically includes indicators such as employment rate, the relevance of job positions to majors, salary levels, job stability, and job satisfaction. By analyzing this data, universities can understand how graduates perform in the job market, assess the effectiveness of talent cultivation, and provide reference points for optimizing curriculum design, teaching methods, and industry-education integration. The employment quality evaluation for university graduates a MADM. Currently, Logarithmic TODIM (LogTODIM) and GRA techniques are employed to address MADM challenges. To handle …
Neutrosophic Fuzzy Power Management (Nfpm): Tackling Uncertainty In Energy Harvesting For Sensor Networks, Musallam M.Alzubi, Mohamed A.Mohamed, Hanan M. Amer, A.A. Salama
Neutrosophic Fuzzy Power Management (Nfpm): Tackling Uncertainty In Energy Harvesting For Sensor Networks, Musallam M.Alzubi, Mohamed A.Mohamed, Hanan M. Amer, A.A. Salama
Neutrosophic Sets and Systems
This paper presents a novel approach known as Neutrosophic Fuzzy Power Management (NFPM) aimed at addressing the critical challenge of uncertain energy availability in Energy Harvesting Sensor Networks (EHWSNs). The main objective of this research is to enhance the management of energy resources within these networks, which traditional fuzzy logic methods often fail to do, leading to power failures and reduced reliability. NFPM utilizes neutrosophic logic to effectively model uncertainty by representing the degrees of truth, indeterminacy, and falsity of both harvested and residual energy levels. Through a fuzzy inference system, NFPM dynamically allocates energy budgets for each time slot …
An Effective Neutrosophic Approach For Group Decision-Making In College English Teaching Quality Evaluation, Bin Xie
Neutrosophic Sets and Systems
College English holds great importance in Chinese universities as one of the largest, most influential, and highly regarded foundational courses. Despite significant progress in reforming college English teaching (CET), its effectiveness has faced widespread criticism. To ensure and enhance the quality of CET, it is essential to explore the establishment of a quality evaluation mechanism. One such mechanism is the multiple attribute group decision-making (MAGDM) approach. Recently, the Exponential TODIM (ExpTODIM) and TOPSIS techniques have been employed to address MAGDM challenges. To capture uncertain data during the evaluation process, interval neutrosophic sets (INSs) are administrated as a valuable tool. This …
A Generalized Hybrid Distance Measure For Svns With An Application In Medical Diagnosis, Norzieha Mustapha, Suriana Alias, Roliza Md Yasin, Alia Nur Izzah Zulkifli, Noorazliyana Shafii, Florentin Smarandache
A Generalized Hybrid Distance Measure For Svns With An Application In Medical Diagnosis, Norzieha Mustapha, Suriana Alias, Roliza Md Yasin, Alia Nur Izzah Zulkifli, Noorazliyana Shafii, Florentin Smarandache
Neutrosophic Sets and Systems
A generalized hybrid distance measure of a single value neutrosophic set (SVNS) is proposed to analyze the patient’s factors and diseases. Since Neutrosophic Set (NS) may communicate contradictory and ambiguous information, it is a crucial and useful tool for modelling uncertainty information. A distance measure for NS information is a key tool that is always employed in many approaches including medical diagnostics. Several distance measures in NS can be found in the literature, however, only a few of them proposed hybrid techniques. This paper aims to develop a new distance measure by considering exponential function and to define new hybrid …
Combining Two Auxiliary Variables For Elevated Estimation Of Finite Population Mean Under Neutrosophic Framework, Poonam Singh, Sooraj Gupta
Combining Two Auxiliary Variables For Elevated Estimation Of Finite Population Mean Under Neutrosophic Framework, Poonam Singh, Sooraj Gupta
Neutrosophic Sets and Systems
Typically, most researchers rely on precise data for estimating population parameters using classical statistical methods. However, there are scenarios where dealing with uncertain and imprecise data in the form of intervals becomes necessary. To tackle this challenge, various adaptations of classical estimators, such as the neutrosophic ratio estimator and their improved ones, have emerged. This article introduces a novel estimator known as the neutrosophic ratio-cum-product exponential estimator combining two auxiliary variables, specifically designed for the elevated estimation of population mean in such situations. Performance evaluation is conducted using metrics like Mean Square Error (MSE) and Percentage Relative Efficiency (PRE). The …
Intelligent Framework For Regional Tourism Ecological Efficiency Evaluation Under High-Quality Development With Single-Valued Neutrosophic Information, Xiaoying Liu
Neutrosophic Sets and Systems
The evaluation of regional tourism ecological efficiency (RTEE) under high-quality development aims to measure how the tourism industry promotes economic growth while minimizing resource consumption and environmental impact. By analyzing economic output per unit of carbon emissions, it assesses the sustainability and environmental performance of the tourism sector. This evaluation method considers resource utilization, energy efficiency, and ecological protection, helping decision-makers optimize tourism development models, achieve a balance between economic and ecological benefits, and promote the transition of tourism towards a low-carbon, green, and high-quality direction. The RTEE evaluation under high-quality development is MADM. The single-valued neutrosophic number generalized power …
An Efficient Model For Satisfaction Evaluation Of College Students' Online Ideological And Political Education With Single-Valued Neutrosophic Numbers, Kelei Shi
Neutrosophic Sets and Systems
Under the background of big data, the evaluation of college students' satisfaction with online ideological and political education (IAPE) is primarily achieved through data mining and analysis techniques, allowing for a more comprehensive and accurate reflection of students' attitudes and feedback. By collecting data through online surveys, social media interactions, and other channels, educators can adjust the content and methods of teaching in real-time to better meet students' needs and improve the effectiveness and satisfaction of IAPE. The satisfaction evaluation of college students' online IAPE in the context of big data is a multi attribute group decision-making (MAGDM) problem. Recently, …
Evaluating University Crisis Management: A Neutrosophic Logtodim Framework For Public Opinion, Quansong Qi
Evaluating University Crisis Management: A Neutrosophic Logtodim Framework For Public Opinion, Quansong Qi
Neutrosophic Sets and Systems
The evaluation of public opinion management capability for public crises in universities assesses the ability of universities to guide and handle public opinion during crises. The evaluation covers areas such as opinion monitoring, crisis response, information dissemination, and media communication. Through a systematic assessment, universities can improve their crisis management capabilities, reduce the spread of negative public opinion, and maintain campus stability and reputation. The public opinion management capability evaluation for public crises in universities is multiple-attribute group decision-making (MAGDM). Recently, the Logarithmic TODIM (LogTODIM) technique was interpreted to cope with MAGDM. The single-valued neutrosophic sets (SVNSs) are interpreted as …
Multiple-Attribute Decision Making Based On Novel Single Valued Neutrosophic Aczel-Alsina Power Muirhead Mean Operators, Peide Liu, Qaisar Khan, Rashid Ali, Hidayat Ullah, Rashid Jan
Multiple-Attribute Decision Making Based On Novel Single Valued Neutrosophic Aczel-Alsina Power Muirhead Mean Operators, Peide Liu, Qaisar Khan, Rashid Ali, Hidayat Ullah, Rashid Jan
Neutrosophic Sets and Systems
Neutrosophic multiple-attribute decision making (MADM) is one of the major study areas in ambiguous and inconsistent decision-making problems. The single-valued neutrosophic number (SVNN), which is an expansion of the fuzzy number, intuitionistic fuzzy number, can handle difficulties involving a huge quantity of erroneous, partial, and inconsistent information. To address the multi-criteria decision-making problems, novel aggregation operators (AGOs) are proposed in this article considering the benefits of the SVNN. The new AGOs consider the interrelationship involving any number of input data and can remove the effect of unreliable data. This article adds the Aczel-Alsina (AA) operations to increase the flexibility of …
Exptodim-Vikor Framework For Quality Evaluation Of University Educational Management Using Linguistic Neutrosophic Numbers, Wentao Li, Qiuyan Zhao
Exptodim-Vikor Framework For Quality Evaluation Of University Educational Management Using Linguistic Neutrosophic Numbers, Wentao Li, Qiuyan Zhao
Neutrosophic Sets and Systems
University educational management quality evaluation is a systematic assessment of various elements involved in the educational management process of higher education institutions. Its goal is to analyze aspects such as management systems, resource allocation, faculty quality, student services, and curriculum design, measuring the impact of management practices on teaching outcomes to ensure educational objectives are met. This evaluation system helps improve the operational efficiency and teaching quality of universities, enhancing their reputation and aligning talent cultivation with societal needs. The quality evaluation of university educational management is a task well-suited for multi-attribute group decision making (MAGDM). Recently, the Exponential TODIM …
Average Distance Measure For Topsis-Sine Trigonometric Single-Valued Neutrosophic Weighted Aggregation Operator And Its Application In Decision Making, Roliza Md Yasin, Nurul Izzah Wardah Salim, Nik Fakhira Nik Ahmad Fuad, Noorzahirah Mohd Zahali, Suriana Alias, Norzieha Mustapha
Average Distance Measure For Topsis-Sine Trigonometric Single-Valued Neutrosophic Weighted Aggregation Operator And Its Application In Decision Making, Roliza Md Yasin, Nurul Izzah Wardah Salim, Nik Fakhira Nik Ahmad Fuad, Noorzahirah Mohd Zahali, Suriana Alias, Norzieha Mustapha
Neutrosophic Sets and Systems
The aggressive work involved in proposing new distance measures between two neutrosophic sets has been obvious for the past ten years. These continuous efforts are commonly motivated by the need to provide a variety of alternatives in the study of decision-making. This study starts by providing complete proof of the satisfaction of single-valued neutrosophic set properties for a new distance measure. The novel distance measure averages out two different distance measures to reduce the possibility of information loss. Secondary data gathered from a questionnaire survey on the medical emergency knowledge of twenty dental students is used here to become the …
Neutrosophic Set-Based Psnn-Topsis Framework For Multi-Attribute Decision Making: Applications In Evaluating The Quality Of Environmental Art Design In Green Building Contexts, Yue Wang, Jiawei Zhao
Neutrosophic Set-Based Psnn-Topsis Framework For Multi-Attribute Decision Making: Applications In Evaluating The Quality Of Environmental Art Design In Green Building Contexts, Yue Wang, Jiawei Zhao
Neutrosophic Sets and Systems
With the continuous advancement of urbanization and the continuous development of landscape design concepts, green landscape design under the green building system has become the main direction of future landscape design development, playing an important role in creating a beautiful, comfortable, and ecological modern urban landscape. In the future, it is necessary to further strengthen research on green landscape design, reflecting the relevant requirements of green building concepts in energy conservation, water conservation, land conservation, etc., so that urban landscape design can break away from noise and restlessness, and return to the essence of nature and ecology. The quality evaluation …
A Novel Framework For Gauging Information Extracted From Smartphones Using Neutrosophic Logic, R. M.Abou Alzahab, Amr Ismail, S.H.Abd Elkhalik, M.Y. Shams, H. M. El-Bakry, A. A. Salama
A Novel Framework For Gauging Information Extracted From Smartphones Using Neutrosophic Logic, R. M.Abou Alzahab, Amr Ismail, S.H.Abd Elkhalik, M.Y. Shams, H. M. El-Bakry, A. A. Salama
Neutrosophic Sets and Systems
Smartphones contain a vast amount of information about their users, which can be used as evidence in criminal cases. However, the sheer volume of data can make it challenging for forensic investigators to identify and use the most relevant information. Neutrosophic logic is a generalization of fuzzy logic that allows for uncertainty and vagueness, making it a more potent tool for dealing with the ambiguity of real-world data. The proposed framework aims to identify and utilize the most relevant information for forensic investigators, making it easier to solve criminal cases using Neutrosophic logic. This novel approach provides a more powerful …
Nsdtl: A Robust Malware Detection Framework Under Uncertainty, Alaa Elmor
Nsdtl: A Robust Malware Detection Framework Under Uncertainty, Alaa Elmor
Neutrosophic Sets and Systems
The Internet's rapid expansion and the current trends toward automation through intelligent systems have given malevolent software attackers a veritable playground. Numerous gadgets are effortlessly connected to the Internet, and a lot of data is being collected. Consequently, there is a growing concern about malware attacks and security threats. Malware detection has emerged as a research focus. However, there are challenges in the research, such as noise, uncertainty, and ambiguous data. The study proposes a novel framework NSDTL, that achieves state-of-the-art malware detection and classification results to address this changing threat landscape. NSDTL leverages a neutrosophic set and advanced transfer …
Single-Valued Neutrosophic Exptodim Technique For Quality Evaluation Of Mppt Controller Design For Photovoltaic Systems, Xiaobin Zheng, Guiqing Chen, Shita Huang, Lunsen Zou
Single-Valued Neutrosophic Exptodim Technique For Quality Evaluation Of Mppt Controller Design For Photovoltaic Systems, Xiaobin Zheng, Guiqing Chen, Shita Huang, Lunsen Zou
Neutrosophic Sets and Systems
The significance of evaluating the design quality of Maximum Power Point Tracking (MPPT) controllers in photovoltaic systems lies in ensuring efficient and stable operation under various environmental conditions. By assessing the controller's tracking efficiency, dynamic response speed, steady-state error, and disturbance rejection capability, the system's energy output can be optimized, equipment lifespan extended, operating costs reduced, and overall system reliability and performance improved, thereby maximizing solar energy utilization efficiency. The quality evaluation of MPPT controller design for photovoltaic systems is framed as a multiple-attribute group decision-making (MAGDM) problem. Recently, the Exponential TODIM (ExpTODIM) approach has been introduced to address this …
Incorporating Neutrosophic Uncertainty In Data Envelopment Analysis, A. Almutairi, Hamiden Abd El-Wahed Khalifa, Basma E. El-Demerdash
Incorporating Neutrosophic Uncertainty In Data Envelopment Analysis, A. Almutairi, Hamiden Abd El-Wahed Khalifa, Basma E. El-Demerdash
Neutrosophic Sets and Systems
In the realm of Data Envelopment Analysis (DEA), the assessment of relative efficiency has historically relied on deterministic variables. Yet, real-world data often presents diverse uncertainties, including a neutrosophic nature, which can significantly impact the accuracy and reliability of DEA outcomes. Therefore, the current paper proposes a new DEA model entirely to address this issue and in new DEA model designed to address this issue, preexisting approaches that fall short due to the inability to address neutrosophic uncertainty, which can be commonly found in actual data, to enhance efficiency evaluation precision. This paper introduces the new DEA model to show …
Enhanced Edas Framework For Landscape Planning And Design Quality Evaluation Under Single-Valued Neutrosophic Sets, Kai Guo
Neutrosophic Sets and Systems
Landscape planning and design quality evaluation is a systematic analysis and assessment of landscape project designs. Its primary goal is to ensure functionality, aesthetics, and sustainability of the design. The evaluation covers aspects such as spatial layout, ecological conservation, plant arrangement, landscape effects, and human-centered considerations. Additionally, the evaluation considers the economic feasibility of the project, the practicality of construction, and the ease of future maintenance, ensuring that the landscape space meets diverse user needs while harmonizing with the natural environment. The landscape planning and design quality evaluation is MAGDM. The single-valued neutrosophic sets (SVNSs) are useful tools to cope …
Predicting Student Behavior Using A Neutrosophic Deep Learning Model, Ahmed Mohamed Shitaya, Mohamed El Syed Wahed, Saied Helemy Abd El Khalek, Amr Ismail, Mahmoud Y.Shams, A. A. Salama
Predicting Student Behavior Using A Neutrosophic Deep Learning Model, Ahmed Mohamed Shitaya, Mohamed El Syed Wahed, Saied Helemy Abd El Khalek, Amr Ismail, Mahmoud Y.Shams, A. A. Salama
Neutrosophic Sets and Systems
We developed an information system using an object-oriented programming language and a distributed database (DDB) consisting of multiple interconnected databases across a computer network, managed by a distributed database management system (DDBMS) for easy access. An intelligent system was designed to assess the difficulty level of preliminary exams and select top-performing advanced students using a Neutrosophic Deep Learning Model. The dataset was randomly split into training (80%) and testing (20%) sets, and the model, trained with the Adam optimizer at a 0.001 learning rate over 50 epochs, incorporated early stopping based on validation loss. This system, implemented at a traditional …
An Evaluation Method For University Classroom Education Quality Under Machine Vision And Single-Valued Neutrosophic Hesitant Fuzzy Set Environment, Rui Wang, Mingjie Li, Fangwei Zhang, Yiying Pan, Zongao Zhang
An Evaluation Method For University Classroom Education Quality Under Machine Vision And Single-Valued Neutrosophic Hesitant Fuzzy Set Environment, Rui Wang, Mingjie Li, Fangwei Zhang, Yiying Pan, Zongao Zhang
Neutrosophic Sets and Systems
With the advancement of artificial intelligence, machine vision offers a novel approach to university teaching quality evaluation (TQE). However, existing studies are often hindered by subjectivity and lack of standardized evaluation methods, which impede accurate assessment of student learning effectiveness. Therefore, this study addresses these limitations by proposing a TQE framework that integrates machine vision with single-valued neutrosophic hesitant fuzzy sets (SVNHFSs). Specifically, the main contributions of this study are as follows. First, this study innovatively employs machine vision to capture student learning behaviors, constructing a classroom behavior matrix that serves as the foundation for evaluation. Second, this study introduces …
Solving The Shortest Path Problem In An Interval-Valued Neutrosophic Pythagorean Environment Using An Enhanced A* Search Algorithm, Prasanta Kumar Raut, Sakya Singh Satapathy, Siva Prasad Behera, Said Broumi, Ajay Kumar Sahoo
Solving The Shortest Path Problem In An Interval-Valued Neutrosophic Pythagorean Environment Using An Enhanced A* Search Algorithm, Prasanta Kumar Raut, Sakya Singh Satapathy, Siva Prasad Behera, Said Broumi, Ajay Kumar Sahoo
Neutrosophic Sets and Systems
The A* search algorithm is widely utilized to evaluate the shortest path in a given network. However, in a traditional A* search algorithm, the nodes are assumed to have crisp values, i.e., a single value. This assumption may not hold in many real-world scenarios where uncertainty or ambiguity is involved. In such cases, an interval-valued Neutrosophic Pythagorean (IVNP) environment can provide a more sound and accurate representation. Interval-valued Neutrosophic Pythagorean sets (IVNPS) are an effective way to model vague and imprecise data, which is prevalent in executive problems. These sets provide a more flexible way to capture uncertainty by allowing …
Optimizing Network Structures Through Neutrosophic Graph Product Operations And Its Coloring: A Comprehensive Approach For Enhanced Connectivity And Robustness, A. Meenakshi, S. Dhanushiya
Optimizing Network Structures Through Neutrosophic Graph Product Operations And Its Coloring: A Comprehensive Approach For Enhanced Connectivity And Robustness, A. Meenakshi, S. Dhanushiya
Neutrosophic Sets and Systems
Optimal network analysis requires advanced techniques to handle the inherent complexity and uncertainty of real-world systems. We have used vertex order coloring on neutrosophic graphs to find the most effective approach to improve network reliability and performance. Neutrosophic graphs( ) offer a comprehensive framework for modelling real-world networks with inherent uncertainties by incorporating degrees of truth, falsity, and indeterminacy. In this paper, we have investigated various graph product operations as a means of optimizing network structures. We further investigated the applications of vertex order coloring to identify and within various graph operations of . We examined several strong vertices products …
Construction Of Almost Unbiased Estimator For Population Mean Using Neutrosophic Information, Rajesh Singh, Anamika Kumari, Florentin Smarandache, Shobh Nath Tiwari
Construction Of Almost Unbiased Estimator For Population Mean Using Neutrosophic Information, Rajesh Singh, Anamika Kumari, Florentin Smarandache, Shobh Nath Tiwari
Neutrosophic Sets and Systems
In classical statistics, the population mean is estimated using determinate, crisp data value when auxiliary information is known. These estimates can often be biased. The main objective of this study is to introduce the neutrosophic estimator with the minimum mean squared error (MSE) for the unknown value of the population mean as well as overcome the limitations of classical statistics when dealing with ambiguous or indeterminate data. Neutrosophic statistics was introduced by Florentin Smarandache. It is a generalisation of classical statistics that addresses ambiguous, unclear, vague, and indeterminate data. In this study, we have proposed neutrosophic almost unbiased estimator that …
Cross-Entropy Method Adapted For Evaluating The Teaching Quality Of University Physical Education Utilizing 2-Tuple Linguistic Neutrosophic Sets, Mengjun Wu, Yonghui Feng
Cross-Entropy Method Adapted For Evaluating The Teaching Quality Of University Physical Education Utilizing 2-Tuple Linguistic Neutrosophic Sets, Mengjun Wu, Yonghui Feng
Neutrosophic Sets and Systems
The evaluation of university physical education teaching quality helps measure the actual effectiveness of the courses and ensures the achievement of teaching objectives. Through evaluation, schools can identify deficiencies in teaching and make improvements, enhancing students' physical fitness and health. Additionally, evaluation provides data support for teaching reforms, aiding in curriculum optimization and strengthening faculty, thereby promoting the comprehensive development of physical education and fostering students' lifelong awareness of fitness and healthy lifestyles. The teaching quality evaluation of university physical education adopts the multiple attribute group decision-making (MAGDM) approach. Currently, cross-entropy (CE) model was constructed to handle the MAGDM. To …
A Python Class For Neutrosophic Morphology, Lorenzo Affe, Giorgio Nordo, Florentin Smarandache
A Python Class For Neutrosophic Morphology, Lorenzo Affe, Giorgio Nordo, Florentin Smarandache
Neutrosophic Sets and Systems
In this work, we introduce a Python class, named NSmorph, developed to facilitate image manip ulation through neutrosophic morphological operations. This innovative approach extends traditional image processing methods by leveraging the flexibility of neutrosophic logic to handle uncertainty, indeterminacy, and noise in digital images. The class offers implementations of essential morphological operators, such as neu trosophic dilation, erosion, opening, and closing, providing a robust tool for applications where image clarity is often compromised, like medical imaging and surveillance. We detail the class structure and functions and provide multiple examples to demonstrate its practical applications and comparative advantages over classical morphological …