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Journal articles on the topic 'SVNSs'

Author: Grafiati

Published: 4 June 2025

Last updated: 15 July 2025

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1

Ye, Jun. "Clustering Methods Using Distance-Based Similarity Measures of Single-Valued Neutrosophic Sets." Journal of Intelligent Systems 23, no. 4 (2014): 379–89. http://dx.doi.org/10.1515/jisys-2013-0091.

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AbstractClustering plays an important role in data mining, pattern recognition, and machine learning. Single-valued neutrosophic sets (SVNSs) are useful means to describe and handle indeterminate and inconsistent information that fuzzy sets and intuitionistic fuzzy sets cannot describe and deal with. To cluster the data represented by single-valued neutrosophic information, this article proposes single-valued neutrosophic clustering methods based on similarity measures between SVNSs. First, we define a generalized distance measure between SVNSs and propose two distance-based similarity measure

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Shakir, Taif Khalid, and Ahmed N. Al Masri. "Single Valued Neutrosophic Set for Selection of Water Supply in Intelligent Farming." International Journal of Advances in Applied Computational Intelligence 2, no. 2 (2022): 37–44. http://dx.doi.org/10.54216/ijaaci.020204.

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One of the most difficult problems in the water business is the oversight and strategic planning of basin-based water supplies. Governments are concerned with ensuring equitable growth by addressing issues like water scarcity, improving agricultural products, and supporting nutritional health. The primary contribution of this research is the introduction of a methodology for assessing agricultural water delivery systems that allow for collaboration among all stakeholders. The managing the water supply is a MADM. Multi-attribute decision-making (MADM) issues, which are characterized by inadequa

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Said, Shimaa, Mahmoud M. Ibrahim, and Mahmoud M. Ismail. "An Integrated Multi-Criteria Decision-Making Approach for Identification and Ranking Solar Drying Barriers under Single-Valued Triangular Neutrosophic Sets (SVTNSs)." Neutrosophic and Information Fusion 2, no. 1 (2023): 35–49. http://dx.doi.org/10.54216/nif.020103.

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Solar dryers utilized in agriculture for the drying of food and crops are also utilized for drying operations in industrial settings. They have the potential to be shown as a very helpful tool in terms of the management of energy saving. It not only helps conserve energy, but it also helps save a lot of time, consumes less space, makes the procedure more effective, enhances the standard of the product, and safeguards the surroundings. Due to the many associated potential barriers, the acceptance of solar dryers has not yet reached a benchmark, although this was an expectation. In this body of

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Fan, Changxing. "Correlation Coefficients of Refined-Single Valued Neutrosophic Sets and Their Applications in Multiple Attribute Decision-Making." Journal of Advanced Computational Intelligence and Intelligent Informatics 23, no. 3 (2019): 421–26. http://dx.doi.org/10.20965/jaciii.2019.p0421.

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The paper presents the correlation coefficient of refined-single valued neutrosophic sets (Refined-SVNSs) based on the extension of the correlation of single valued neutrosophic sets (SVNSs), and then a decision making method is proposed by the use of the weighted correlation coefficient of Refined-SVNSs. Through the weighted correlation coefficient between the ideal alternative and each alternative, we can rank all alternatives and the best one of all alternatives can be easily identified as well. Finally, to prove this decision making method proposed in this paper is useful to deal with the

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Zhou, Xiaoyan, Mingwei Lin, and Weiwei Wang. "Statistical correlation coefficients for single-valued neutrosophic sets and their applications in medical diagnosis." AIMS Mathematics 8, no. 7 (2023): 16340–59. http://dx.doi.org/10.3934/math.2023837.

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<abstract> <p>The concept of single-valued neutrosophic sets (SVNSs) is considered as an attractive tool for dealing with highly ambiguous and uncertain information. The correlation coefficient of SVNSs acts as an important measure in the single-valued neutrosophic set theory and it has been applied in various fields, such as the pattern recognition, medical diagnosis, decision-making and also clustering analysis. To alleviate the weakness of the existing correlation coefficients, a novel statistical correlation coefficient is put forward to measure the degree of correlation betwee

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Ali, Mehboob, Zahid Hussain, and Miin-Shen Yang. "Hausdorff Distance and Similarity Measures for Single-Valued Neutrosophic Sets with Application in Multi-Criteria Decision Making." Electronics 12, no. 1 (2022): 201. http://dx.doi.org/10.3390/electronics12010201.

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Hausdorff distance is one of the important distance measures to study the degree of dissimilarity between two sets that had been used in various fields under fuzzy environments. Among those, the framework of single-valued neutrosophic sets (SVNSs) is the one that has more potential to explain uncertain, inconsistent and indeterminate information in a comprehensive way. And so, Hausdorff distance for SVNSs is important. Thus, we propose two novel schemes to calculate the Hausdorff distance and its corresponding similarity measures (SMs) for SVNSs. In doing so, we firstly develop the two forms o

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Ye, Jun. "Single-Valued Neutrosophic Minimum Spanning Tree and Its Clustering Method." Journal of Intelligent Systems 23, no. 3 (2014): 311–24. http://dx.doi.org/10.1515/jisys-2013-0075.

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AbstractClustering plays an important role in data mining, pattern recognition, and machine learning. Then, single-valued neutrosophic sets (SVNSs) are a useful means to describe and handle indeterminate and inconsistent information, which fuzzy sets and intuitionistic fuzzy sets cannot describe and deal with. To cluster the data represented by single-value neutrosophic information, the article proposes a single-valued neutrosophic minimum spanning tree (SVNMST) clustering algorithm. Firstly, we defined a generalized distance measure between SVNSs. Then, we present an SVNMST clustering algorit

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Ismail, Mahmoud M., Zenat Ahmed, Amal F. Abdel-Gawad, and Mona Mohamed. "Toward Supply Chain 5.0: An Integrated Multi-Criteria Decision-Making Models for Sustainable and Resilience Enterprise." Decision Making: Applications in Management and Engineering 7, no. 1 (2023): 160–86. http://dx.doi.org/10.31181/dmame712024955.

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The enterprises and their supply chain (SC) have undergone significant changes because of the highly complex business environment, dynamism, environmental change, ideas like globalization, and increased rivalry of enterprises in the national and worldwide arena. Additionally, pandemics and crises caused SC disruptions for enterprises. Thus, an enterprise’s SC must constantly be ready to face various obstacles and unpredictable environmental changes. In an era of growing technological advancement, enterprises and their strategies are transforming toward sustainable and resilient SC. For this re

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Abdullah, Lazim, Zheeching Ong, and Shalela Mohd Mahali. "Single-Valued Neutrosophic DEMATEL for Segregating Types of Criteria: A Case of Subcontractors’ Selection." Journal of Mathematics 2021 (April 15, 2021): 1–12. http://dx.doi.org/10.1155/2021/6636029.

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The decision-making trial and evaluation laboratory (DEMATEL) has been used to solve numerous multicriteria decision-making (MCDM) problems, where real numbers are utilised in defining linguistic variables. Although the DEMATEL has shown its success in solving many decision-making problems, researchers have not fully understood how the DEMATEL works on non-real-number linguistic variables. Recent discovery of single-valued neutrosophic sets (SVNSs) can offer a new method to solve decision-making problems, where three memberships of SVNSs are used to define experts’ linguistic judgment. This pa

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Wang, Tongjuan. "Distance of Single-Valued Neutrosophic Set and Its Application in Pattern Recognition." Journal of Physics: Conference Series 2025, no. 1 (2021): 012019. http://dx.doi.org/10.1088/1742-6596/2025/1/012019.

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Abstract Single-valued neutrosophic set (SVNS) is an extension of fuzzy set, which combines the truth, indeterminacy, and falsity information. The measurement of distance of single-valued neutrosophic set will bring new ideas to pattern recognition. This paper introduces the distance definitions and properties of SVNS, and proposes the improved distance definition of single-valued neutrosophic set based on decision maker attitude towards indeterminacy information and applied them to pattern recognition. By assigning a value to decision-maker’s attitude towards indeterminacy information, this a

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Singh, Surender, and Sonam Sharma. "Divergence Measures and Aggregation Operators for Single-Valued Neutrosophic Sets with Applications in Decision-Making Problems." Neutrosophic Systems with Applications 20 (August 1, 2024): 27–44. http://dx.doi.org/10.61356/j.nswa.2024.20281.

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Single-valued neutrosophic sets (SVNSs) facilitate the representation of uncertain information more extensively than conventional methods. The study of divergence measures of SVNSs is important due to their applications in different areas like multi-criteria decision-making (MCDM), pattern recognition, cluster analysis, machine learning, etc., In this paper, we introduce a divergence measure for SVNSs. The suggested divergence measure is applied to cluster analysis for the classification of imprecise data. For establishing the reasonability and advantage of the suggested divergence measure in

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Zhang, Huanying, Fei Wang, and Yushui Geng. "Multi-Criteria Decision-Making Method Based on Single-Valued Neutrosophic Schweizer–Sklar Muirhead Mean Aggregation Operators." Symmetry 11, no. 2 (2019): 152. http://dx.doi.org/10.3390/sym11020152.

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Schweizer–Sklar (SS) operation can make information aggregation more flexible, and the Muirhead mean (MM) operator can take into account the correlation between inputs by a variable parameter. Because traditional MM is only available for real numbers and single-valued neutrosophic set (SVNS) can better express incomplete and uncertain information in decision systems, in this paper, we applied MM operators to single-valued neutrosophic sets (SVNSs) and presented two new MM aggregation operators with the SS operation, i.e., a single-valued neutrosophic SS Muirhead mean (SVNSSMM) operator and a w

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Tian, Chao, Wen Yu Zhang, Shuai Zhang, and Juan Juan Peng. "An Extended Single-Valued Neutrosophic Projection-Based Qualitative Flexible Multi-Criteria Decision-Making Method." Mathematics 7, no. 1 (2019): 39. http://dx.doi.org/10.3390/math7010039.

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With respect to multi-criteria decision-making (MCDM) problems in which the criteria denote the form of single-valued neutrosophic sets (SVNSs), and the weight information is also fully unknown, a novel MCDM method based on qualitative flexible multiple criteria (QUALIFLEX) is developed. Firstly, the improved cosine measure of the included angle between two SVNSs is defined. Then, the improved single-valued neutrosophic projection is developed, and the corresponding improved single-valued neutrosophic bidirectional projection and single-valued neutrosophic bidirectional projection difference a

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14

Zhao, Xia. "Enhanced EDAS framework for quality evaluation of cultural industry development under the background of digital economy based on SVNNCSM and SVNNCFSM techniques." International Journal of Knowledge-Based and Intelligent Engineering Systems 29, no. 2 (2024): 278–93. https://doi.org/10.1177/13272314241295918.

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With the advent of digital economy era, the high-quality development of cultural industry has received people's attention. How to take advantage of the favorable opportunities of rapid development of the digital economy to further promote the innovative development of cultural industry is an important problem that needs to be solved in development process of Chinese cultural industries. The quality evaluation of cultural industry development in the context of the digital economy is MAGDM. The single-valued neutrosophic sets (SVNSs) is useful tool to cope with uncertain information during the q

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15

Ren, Haiping, Shixiao Xiao, and Hui Zhou. "A Chi-square Distance-based Similarity Measure of Single-valued Neutrosophic Set and Applications." International Journal of Computers Communications & Control 14, no. 1 (2019): 78–89. http://dx.doi.org/10.15837/ijccc.2019.1.3430.

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The aim of this paper is to propose a new similarity measure of singlevalued neutrosophic sets (SVNSs). The idea of the construction of the new similarity measure comes from Chi-square distance measure, which is an important measure in the applications of image analysis and statistical inference. Numerical examples are provided to show the superiority of the proposed similarity measure comparing with the existing similarity measures of SVNSs. A weighted similarity is also put forward based on the proposed similarity. Some examples are given to show the effectiveness and practicality of the pro

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16

Liu, Donghai, Guangyan Liu, and Zaiming Liu. "Some Similarity Measures of Neutrosophic Sets Based on the Euclidean Distance and Their Application in Medical Diagnosis." Computational and Mathematical Methods in Medicine 2018 (November 28, 2018): 1–9. http://dx.doi.org/10.1155/2018/7325938.

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Similarity measure is an important tool in multiple criteria decision-making problems, which can be used to measure the difference between the alternatives. In this paper, some new similarity measures of single-valued neutrosophic sets (SVNSs) and interval-valued neutrosophic sets (IVNSs) are defined based on the Euclidean distance measure, respectively, and the proposed similarity measures satisfy the axiom of the similarity measure. Furthermore, we apply the proposed similarity measures to medical diagnosis decision problem; the numerical example is used to illustrate the feasibility and eff

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17

Abeer Eisa, M. Fattouh, and A. A. ElShabshery. "Single-Valued Neutrosophic Sets Based Score Function and WASPAS Method for Plant Location Selection Problem." Journal of Advanced Research in Applied Sciences and Engineering Technology 41, no. 2 (2024): 139–51. http://dx.doi.org/10.37934/araset.41.2.139151.

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In the context of single-valued neutrosophic sets (SVNSs), where the weights of the criteria are unknown, this work seeks to provide an integrated technique based on Entropy and Weighted Aggregate Sum Product Assessment (WASPAS) methodologies. A numerical case study (the plant site selection issue) is used to establish precise values for the criteria. We initially "fuzzify" the decision matrix before transforming it into an SVNS- decision matrix. The SVNS entropy weight technique is used to assign weights to each criterion. The scoring function is used by a tweaked version of the WASPAS algori

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Ali, Ahmed M. "A Multi-Criteria Decision-Making Approach for Piston Material Selection under Single-Valued Trapezoidal Neutrosophic Sets." Neutrosophic and Information Fusion 2, no. 1 (2023): 23–43. http://dx.doi.org/10.54216/nif.020102.

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It is one of the most difficult and time-consuming processes to develop and pick an acceptable material for the piston material that has a variety of attributes. Component failure is often caused by inappropriate material at some stage throughout the functioning process. In light of this, the piston material selection is performed in this article. The goal of this work is to found a technique for selecting the material of the piston for a new design engine by using the multi-criteria decision-making (MCDM) approach to find a solution to the issue of choosing the material for the piston. The pu

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19

Wu, Bin. "SVNN-Com-LogTODIM Technique for Risk Assessment of Battery Safety Operation in Energy Storage Power Stations Based on Single-Valued Neutrosophic MAGDM." International Journal of Decision Support System Technology 16, no. 1 (2024): 1–17. http://dx.doi.org/10.4018/ijdsst.361717.

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As the world transitions toward a more sustainable energy future, energy storage power plants play an increasingly crucial role in integrating renewable energy sources into the grid. However, ensuring the safety of battery operations in these facilities remains a critical concern. Assessing battery safety operations (BSO) in energy storage power stations is complex multiple-attribute group decision-making (MAGDM) task. Recently, the logarithmic TODIM (LogTODIM) technique was introduced to handle MAGDM challenges. Single-valued neutrosophic sets (SVNSs) have also emerged as tool for managing fu

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Zhang, Yingxin, Ting Li, Fan Yang, and Lei Qiao. "Modeling Uncertainties Through Employing Single-Valued Neutrosophic Multi-Attribute Decision-Making." International Journal of Decision Support System Technology 16, no. 1 (2025): 1–20. https://doi.org/10.4018/ijdsst.366207.

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The significance of performance evaluation for venture capital in small and medium-sized technology startups lies in helping investors understand the effectiveness of their capital investment and assess the company's growth potential and market prospects. The performance evaluation of risk investment in small and medium-sized high-technology venture enterprises involves the application of MADM. In this study, we explore the generalized weighted geometric Bonferroni mean (GWGBM) operator for MADM, utilizing single-valued neutrosophic sets (SVNSs) to handle uncertainty and vagueness in MADM proc

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Rani, Pratibha, and Arunodaya Raj Mishra. "Single-Valued Neutrosophic SWARA-TOPSIS-Based Group Decision-Making for Prioritizing Renewable Energy Systems." Computer and Decision Making: An International Journal 2 (January 24, 2025): 425–39. https://doi.org/10.59543/comdem.v2i.11227.

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In this paper, new outcomes on the evaluation of sustainability factors for Renewable Energy Sources (RESs) under Single Valued Neutrosophic Sets (SVNSs). Multiple Criteria Decision-Making (MCDM) model and the SVN-Stepwise Weight Assessment Ratio Analysis (SWARA) with SVN-Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) termed as ‘SVN-SWARA-TOPSIS’ are applied to solve the RESs selection problem. Five sustainability indicators RSTEE (resource, social, technology, environmental and economic) and twelve criteria are considered for RESs selection. In the proposed SVN-SWA

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Guerra, D. M. Ramírez, Y. M. Gordo G� .., L. J. Cevallos Torres, and F. G. Palacios Ortiz. "Social sports Competition Scoring System Design Using Single Value Neutrosophic Environment." International Journal of Neutrosophic Science 19, no. 1 (2022): 389–402. http://dx.doi.org/10.54216/ijns.190135.

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The goal of this work the critical criteria that affect social sports competition organization's arrangement. Then determine the relations between criteria with others and alternatives. So, the evaluation of the process of social sports competition contains many conflict criteria. The multi-criteria decision-making (MCDM) process is an effective tool for dealing with conflict and complex criteria. This work employs a new integrated model for dealing with the problem in an analytical hierarchal process (AHP) and Višekriterijumsko Kompromisno Rangiranje (VIKOR) methods under single-valued neutro

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Liu, Qing. "Method for Evaluating Ecological Efficiency of Regional Logistics Under Green High-Quality Development Using Single-Valued Neutrosophic Sets." International Journal of Agricultural and Environmental Information Systems 16, no. 1 (2025): 1–17. https://doi.org/10.4018/ijaeis.378250.

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The evaluation of regional logistics ecological efficiency under high-quality development is crucial for promoting sustainable economic growth and environmental protection. Ultimately, this process contributes to building a sustainable logistics ecosystem that aligns with the goals of high-quality development and long-term environmental sustainability. The ecological efficiency evaluation of regional logistics under green high-quality development is frequently viewed as the multiple attribute group decision making (MAGDM) issue. In such paper, the single-valued neutrosophic number CLVA (SVNN-C

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Ye, Jun. "Improved Cross Entropy Measures of Single Valued Neutrosophic Sets and Interval Neutrosophic Sets and Their Multicriteria Decision Making Methods." Cybernetics and Information Technologies 15, no. 4 (2015): 13–26. http://dx.doi.org/10.1515/cait-2015-0051.

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Abstract Due to some drawbacks of the cross entropy between Single Valued Neutrosophic Sets (SVNSs) in dealing with decision-making problems, the existing single valued neutrosophic cross entropy indicates an asymmetrical phenomenon or may produce an undefined (unmeaningful) phenomenon in some situations. In order to overcome these disadvantages, this paper proposes an improved cross entropy measure of SVNSs and investigates its properties, and then extends it to a cross entropy measure between interval neutrosophic sets (INSs). Furthermore, the cross entropy measures are applied to multicrite

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Ran, Hui. "MABAC method for multiple attribute group decision making under single-valued neutrosophic sets and applications to performance evaluation of sustainable microfinance groups lending." PLOS ONE 18, no. 1 (2023): e0280239. http://dx.doi.org/10.1371/journal.pone.0280239.

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As an important supplement to my country’s financial institutions, micro-loan companies serve "agriculture, rural areas and farmers", small and micro enterprises, and individuals, to a certain extent, alleviating the financing difficulties of such groups and regulating private finance. However, micro-loan companies only lend but do not deposit. In the process of lending, due to inadequate risk management, the risk problem has become increasingly prominent. With the continuous growth of the loan amount of rural credit and the continuous increase of microfinance groups lending customers, it face

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Xu, Dongsheng, Xiaolan Wei, Hui Ding, and Hongqiong Bin. "A New Method Based on PROMETHEE and TODIM for Multi-Attribute Decision-Making with Single-Valued Neutrosophic Sets." Mathematics 8, no. 10 (2020): 1816. http://dx.doi.org/10.3390/math8101816.

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Single-valued neutrosophic sets (SVNSs) can effectively describe the multi-attribute decision-making (MADM) problems which are characterized by incompleteness and uncertainty. Aiming at the MADM problem of SVNSs, a series of methods are proposed to solve the problem, such as the TODIM and PROMETHEE methods. The main idea of the TODIM method is to establish a relative superiority function of scheme relative to other schemes based on the value function of prospect theory, and the ranking of alternatives is determined according to the obtained superiority. In the PROMETHEE method, the decision ma

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admin, admin, Ashraf Al Al-Quran, Hamiden Abd El Wahed Khalifa, et al. "Orthogonal distance and similarity for single-valued neutrosophic fuzzy soft expert environment and its application in decision-making." International Journal of Neutrosophic Science 23, no. 4 (2024): 08–22. http://dx.doi.org/10.54216/ijns.230401.

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A soft expert set(SES) is a concept that combines elements of soft sets and expert systems. It aims to incorporate expert knowledge and uncertainty-handling capabilities into the analysis and decision-making processes. On the other hand, the idea of single neutrosophic sets (SVNSs) and fuzzy sets (FSs) are imported models for handling the uncertainty data. In this work, the authors combine the critical features of FSs and SVNSs under expert systems in one model. Accordingly, this model worked to provide decision-makers with more flexibility in the process of interpreting uncertain information.

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Jiang, Wen, Zihan Zhang, and Xinyang Deng. "Multi-Attribute Decision Making Method Based on Aggregated Neutrosophic Set." Symmetry 11, no. 2 (2019): 267. http://dx.doi.org/10.3390/sym11020267.

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Multi-attribute decision-making refers to the decision-making problem of selecting the optimal alternative or sorting the scheme when considering multiple attributes, which is widely used in engineering design, economy, management and military, etc. But in real application, the attribute information of many objects is often inaccurate or uncertain, so it is very important for us to find a useful and efficient method to solve the problem. Neutrosophic set is proposed from philosophical point of view to handle inaccurate information efficiently, and a single-valued neutrosophic set (SVNS) is a s

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Al-Qudah, Yousef Al. "A robust framework for the decision-making based on single-valued neutrosophic fuzzy soft expert setting." International Journal of Neutrosophic Science 23, no. 2 (2024): 195–210. http://dx.doi.org/10.54216/ijns.230216.

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A soft expert set is widely used as a tool to solve and model the problems appearing in computer science and operations research. It aims to incorporate expert knowledge and uncertainty-handling capabilities into the analysis and decision-making processes. On the other hand, the idea of single neutrosophic sets (SVNSs) and fuzzy sets (FSs) are imported models for handling the uncertainty data. In this work, the authors combine the critical features of FSs and SVNSs under expert systems in one model. Accordingly, this model worked to provide decision-makers with more flexibility in the process

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Faisal, Faisal, Ashraf Al Al-Quran, Agaeb Mahal Alanzi, et al. "Group decision-making based on distance measures settings for single-valued neutrosophic fuzzy soft expert environment." International Journal of Neutrosophic Science 23, no. 4 (2024): 88–103. http://dx.doi.org/10.54216/ijns.230407.

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A soft expert set is a concept that combines elements of soft sets and expert systems. It aims to incorporate expert knowledge and uncertainty-handling capabilities into the analysis and decision-making processes. On the other hand, the idea of single neutrosophic sets (SVNSs) and fuzzy sets (FSs) are imported models for handling the uncertainty data. In this work, the authors combine the critical features of FSs and SVNSs under expert systems in one model. Accordingly, this model worked to provide decision-makers with more flexibility in the process of interpreting uncertain information. From

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Yang, Xiaoping, and Yefei Liu. "An Integrated Taxonomy Method Using Single-Valued Neutrosophic Number MAGDM for Evaluating the Physical Education Teaching Quality in Colleges and Universities." Mathematical Problems in Engineering 2022 (August 25, 2022): 1–11. http://dx.doi.org/10.1155/2022/2795788.

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Before the advent of the new era, my country has completed the popularization of higher education, and the country has gradually begun to pay attention to the quality of higher education. Under the background of Healthy China, the quality of physical education teaching in colleges and universities has become a hot topic of social concern. The quality of physical education teaching in colleges and universities directly determines the quality of physical education talents. A reasonable, complete, and scientific evaluation system of physical education teaching quality in colleges and universities

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Al-Sharqi, Faisal Al, Ashraf Al Al-Quran, Badria A. Ali Yousif, et al. "Group decision-making algorithm based on AOs settings for single-valued neutrosophic fuzzy soft expert environment." International Journal of Neutrosophic Science 23, no. 3 (2024): 97–110. http://dx.doi.org/10.54216/ijns.230309.

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The incorporation of expert opinions and handling of data uncertainty are addressed by Al-Alkhazaleh through the introduction of a soft expert set. This extension of the soft set framework aims to enhance the analysis and decision-making processes by incorporating expert knowledge. On the other hand, the utilization of single neutrosophic sets (SVNSs) and fuzzy sets (FSs) has been introduced as models to effectively handle uncertain data. In this work, the authors propose a model that combines the essential characteristics of fuzzy sets (FSs) and single neutrosophic sets (SVNSs) within expert

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Jiang, Pan. "LogTODIM framework for MAGDM with neutrosophic sets: Energy conservation and emission reduction case." International Journal of Knowledge-based and Intelligent Engineering Systems 28, no. 1 (2024): 149–61. http://dx.doi.org/10.3233/kes-230076.

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The significant acceleration of China’s urbanization process has greatly promoted economic development. At the same time, the massive construction of urban buildings has also caused many problems such as environmental pollution and increased energy consumption. Therefore, in architectural design, it is particularly important to pay attention to the sustainable development of the environment, handle the relationship between good people and nature under the guidance of the concept of green development, and focus on the recycling of resources. Focusing on resource utilization in architectural des

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Ashraf, Shahzaib, Saleem Abdullah, Shouzhen Zeng, Huanhuan Jin, and Fazal Ghani. "Fuzzy Decision Support Modeling for Hydrogen Power Plant Selection Based on Single Valued Neutrosophic Sine Trigonometric Aggregation Operators." Symmetry 12, no. 2 (2020): 298. http://dx.doi.org/10.3390/sym12020298.

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In recent decades, there has been a massive growth towards the prime interest of the hydrogen energy industry in automobile transportation fuel. Hydrogen is the most plentiful component and a perfect carrier of energy. Generally, evaluating a suitable hydrogen power plant site is a complex selection of multi-criteria decision-making (MCDM) problem concerning proper location assessment based on numerous essential criteria, the decision-makers expert opinion, and other qualitative/quantitative aspects. This paper presents the novel single-valued neutrosophic (SVN) multi-attribute decision-making

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Ali, Ahmed M., and Ahmed Abdelmouty. "Ranking Sustainable Technologies in Wave Energy: Multi-Criteria Decision-Making Approach under Neutrosophic Sets." American Journal of Business and Operations Research 10, no. 2 (2023): 14–22. http://dx.doi.org/10.54216/ajbor.100202.

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While it is still in its infancy in comparison to other forms of renewable technology, there is a growing amount of interest and backing for wave energy as a potentially useful renewable resource that could replace a portion of the existing energy supply. In the context of sustainable development, the choice of technology represents a multi-criterion decision-making (MCDM) challenge that may affect the competitive advantages enjoyed by an organization or a nation. The purpose of this study is to evaluate the many wave energy technologies that are now in use as possible choices for green and su

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AL-baker, Sara Fawaz AL, Ibrahim elhenawy, and Mona Mohamed. "Exploring the Influences of Metaverse on Education Based on the Neutrosophic Appraiser Model." International Journal of Neutrosophic Science 23, no. 1 (2024): 134–45. http://dx.doi.org/10.54216/ijns.230112.

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The growth of information technology over the course of human history has resulted in an update to traditional schooling. The Metaverse is an innovative concept for social work that incorporates many different types of technology. These technologies include big data, interactivity, artificial intelligence (AI), game design, internet computing, the Internet of Things (IoTs), and blockchain. It is reasonable to anticipate that the utilization of Metaverse will contribute to the advancement of educational practices. However, the structures of the Metaverse in educational settings are not yet deve

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Khan, Mohsin, Le Hoang Son, Mumtaz Ali, Hoang Thi Minh Chau, Nguyen Thi Nhu Na, and Florentin Smarandache. "Systematic Review of Decision Making Algorithms in Extended Neutrosophic Sets." Symmetry 10, no. 8 (2018): 314. http://dx.doi.org/10.3390/sym10080314.

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The Neutrosophic set (NS) has grasped concentration by its ability for handling indeterminate, uncertain, incomplete, and inconsistent information encountered in daily life. Recently, there have been various extensions of the NS, such as single valued neutrosophic sets (SVNSs), Interval neutrosophic sets (INSs), bipolar neutrosophic sets (BNSs), Refined Neutrosophic Sets (RNSs), and triangular fuzzy number neutrosophic set (TFNNs). This paper contains an extended overview of the concept of NS as well as several instances and extensions of this model that have been introduced in the last decade

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Abdelhafeez, Ahmed, and Hoda K. Mohamed. "Enhance the Performance of Bus Rapid Transit (BRT) through the Evaluation of Alternatives under an Integrated MCDM Neutrosophic Environment." Neutrosophic and Information Fusion 1, no. 2 (2023): 08–15. http://dx.doi.org/10.54216/nif.010201.

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As a method of transportation, the bus rapid transit system (BRT), also known as BRT, has a greater occupancy rate and is better suited for travelling over longer distances. Evaluating the performance of potential alternatives is necessary because of concerns over sustainability and the need to improve BRT's performance to increase customer satisfaction. On the other hand, criteria that are predicated on the fundamental idea of the emission performance of BRT call for ambiguous or indeterminate expert evaluations to be addressed using single-valued neutrosophic sets (SVNSs). An integrated para

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Wang, Jingqian, and Xiaohong Zhang. "Two Types of Single Valued Neutrosophic Covering Rough Sets and an Application to Decision Making." Symmetry 10, no. 12 (2018): 710. http://dx.doi.org/10.3390/sym10120710.

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In this paper, to combine single valued neutrosophic sets (SVNSs) with covering-based rough sets, we propose two types of single valued neutrosophic (SVN) covering rough set models. Furthermore, a corresponding application to the problem of decision making is presented. Firstly, the notion of SVN β -covering approximation space is proposed, and some concepts and properties in it are investigated. Secondly, based on SVN β -covering approximation spaces, two types of SVN covering rough set models are proposed. Then, some properties and the matrix representations of the newly defined SVN covering

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Jaikumar, R. V., Sundareswaran Raman, Ammar Alsinai, and Shanmugapriya Marayanagaraj. "The Perfect Score Function and Optimized Weighted Geometric Operator for Ranking Single‐Valued Neutrosophic Numbers in the Decision‐Making Process." Journal of Mathematics 2024, no. 1 (2024). http://dx.doi.org/10.1155/2024/4116205.

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The single‐valued neutrosophic set (SVNS) is a more common platform for representing the degree of truth, indeterminacy, and falsity memberships. Indeterminacy is an important aspect of SVNS, and the score function (SF) is important in ranking alternatives in decision‐making scenarios. When the score and accuracy values for different SVNNs were equal, existing SFs were unable to rank the alternatives. To address the limitations, this paper introduces the perfect score function (PSF) as a solution for ranking single‐valued neutrosophic numbers (SVNNs) without any errors and presents the concept

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Rıdvan, Şahin. "Neutrosophic Hierarchical Clustering Algoritms." July 1, 2015. https://doi.org/10.5281/zenodo.22588.

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Interval neutrosophic set (INS) is a generalization of interval valued intuitionistic fuzzy set (IVIFS), whose the membership and non-membership values of elements consist of fuzzy range, while single valued neutrosophic set (SVNS) is regarded as extension of intuitionistic fuzzy set (IFS). In this paper, we extend the hierarchical clustering techniques proposed for IFSs and IVIFSs to SVNSs and INSs respectively. Based on the traditional hierarchical clustering procedure, the single valued neutrosophic aggregation operator, and the basic distance&nb

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Dong-Sheng, Xu, Wei Cun, and Wei Gui-Wu. "TODIM Method for Single-Valued Neutrosophic Multiple Attribute Decision Making." September 12, 2018. https://doi.org/10.5281/zenodo.1413998.

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Recently, the TODIM has been used to solve multiple attribute decision making (MADM) problems. The single-valued neutrosophic sets (SVNSs) are useful tools to depict the uncertainty of the MADM. In this paper, we will extend the TODIM method to the MADM with the single-valued neutrosophic numbers (SVNNs).

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Yi, Ding, and Ye Jun. "Hyperbolic Sine Similarity Measure of SVNS for Open-Pit Mine Slope Stability Classification and Assessment." April 16, 2023. https://doi.org/10.5281/zenodo.7832790.

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: Slope instability is a common geological hazard in open-pit mines, which may cause huge economic losses and casualties. Thus, it is important to cluster and evaluate the stability of slopes effectively. This article proposes a hyperbolic sine similarity measure of single-valued neutrosophic sets (SVNSs) for a netting clustering method and a slope stability evaluation method to cluster and assess the stability of open-pit mine slopes. This study contains the following main content. First, we present a hyperbolic sine similarity measure between SVNSs. Second, slope stability impact factors are

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Jun, Ye, and Zhang Qiansheng. "Single Valued Neutrosophic Similarity Measures for Multiple Attribute Decision-Making." July 1, 2015. https://doi.org/10.5281/zenodo.22645.

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Similarity measures play an important role in data mining, pattern recognition, decision making, machine learning, image process etc. Then, single valued neutrosophic sets (SVNSs) can describe and handle the indeterminate and inconsistent information, which fuzzy sets and intuitionistic fuzzy sets cannot describe and deal with. Therefore, the paper proposes new similarity meas-ures between SVNSs based on the minimum and maxi-mum operators. Then a multiple attribute decision-making method based on the weighted similaritymeasure of SVNSs is established in which

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Hezam, Ibrahim M., Arunodaya Raj Mishra, R. Krishankumar, K. S. Ravichandran, Samarjit Kar, and Dragan Stevan Pamucar. "A single-valued neutrosophic decision framework for the assessment of sustainable transport investment projects based on discrimination measure." Management Decision, March 8, 2022. http://dx.doi.org/10.1108/md-11-2021-1520.

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PurposeThe study aims at evaluating the most appropriate transport project which is one of the critical concerns of transport infrastructure scheduling. This process will be applied considering a set of criteria and discussed alternatives with sustainable perspectives.Design/methodology/approachIn this paper, a complex proportional assessment (COPRAS) framework is discussed to handle the sustainable transport investment project (STIP) assessment problem within a single-valued neutrosophic set (SVNSs). To form the procedure more useful in handling with uncertain features, a SVNS is applied as a

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Han-Liang, Huang. "New Distance Measure of Single-Valued Neutrosophic Sets and Its Application." October 13, 2016. https://doi.org/10.5281/zenodo.236057.

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A single-valued neutrosophic set (SVNS) is an instance of a neutrosophic set, which can be used to handle uncertainty, imprecise, indeterminate, and inconsistent information in real life. In this paper, a new distance measure between two SVNSs is defined by the full consideration of truthmembership function, indeterminacy-membership function, and falsity-membership function for the forward and backward differences.

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Şahin, Rıdvan. "Neutrosophic Hierarchical Clustering Algoritms." Neutrosophic Sets and Systems 2, 2014 (May 4, 2014). https://doi.org/10.5281/zenodo.571513.

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Interval neutrosophic set (INS) is a generalization of interval valued intuitionistic fuzzy set (IVIFS), whose the membership and non-membership values of elements consist of fuzzy range, while single valued neutrosophic set (SVNS) is regarded as extension of intuitionistic fuzzy set (IFS). In this paper, we extend the hierarchical clustering techniques proposed for IFSs and IVIFSs to SVNSs and INSs respectively.

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Singh, Surender, and Sonam Sharma. "Aggregation operators-based divergence measures for single-valued neutrosophic sets with their applications to pattern recognition." Journal of Intelligent & Fuzzy Systems, February 22, 2024, 1–14. http://dx.doi.org/10.3233/jifs-232369.

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A Single-valued neutrosophic set (SVNS) has recently been explored as a comprehensive tool to assess uncertain information due to varied human cognition. This notion stretches the domain of application of the classical fuzzy set and its extended versions. Various comparison measures based on SVNSs like distance measure, similarity measure, and, divergence measure have practical significance in the study of clustering analysis, pattern recognition, machine learning, and computer vision-related problems. Existing measures have some drawbacks in terms of precision and exclusion of information and

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Jun, Ye. "Another Form of Correlation Coefficient between Single Valued Neutrosophic Sets and Its Multiple Attribute Decision- Making Method." July 1, 2015. https://doi.org/10.5281/zenodo.22428.

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A single valued neutrosophic set (SVNS), which is the subclass of a neutrosophic set, can be considered as a powerful tool to express the indeterminate and inconsistent information in the process of decision making. Then, correlation is one of the most broadly applied indices in many fields and also an important measure in data analysis and classification, pattern recognition, decision making and so on. Therefore, we propose another form of correlation coefficient between SVNSs and establish a multiple attribute decision making method using the

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Yang, Xuan, Xianzhong Zhou, Bing Huang, Huaxiong Li, and Tianxing Wang. "A three-way decision method on multi-scale single-valued neutrosophic decision systems." Artificial Intelligence Review 57, no. 4 (2024). http://dx.doi.org/10.1007/s10462-024-10733-2.

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AbstractIn this paper, we propose a three-way decision (TWD) method on multi-scale single-valued neutrosophic decision systems (MS-SVNDSs). First, to explore the application of single-valued neutrosophic sets (SVNSs) in multi-scale environment, we establish a rough set model of MS-SVNDSs. Then, aiming at the problem of knowledge acquisition in MS-SVNDSs, we present the corresponding optimal scale selection and reduction methods by using evidence theory, a more direct and simpler algorithm is also discussed. For obtaining decision results that are more in line with human cognition, we further p

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