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Relevant bibliographies by topics / Single-valued neutrosophic sets (SVNSs)

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Academic literature on the topic 'Single-valued neutrosophic sets (SVNSs)'

Author: Grafiati

Published: 5 June 2025

Last updated: 15 July 2025

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Journal articles on the topic "Single-valued neutrosophic sets (SVNSs)"

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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2

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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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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4

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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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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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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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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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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9

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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Sharma, Sonam, and Surender Singh. "Single - valued neutrosophic Yager power aggregation operators and its application to MCDM." Yugoslav Journal of Operations Research, no. 00 (2025): 4. https://doi.org/10.2298/yjor240715004s.

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The notion of Single-valued neutrosophic sets (SVNSs) being a generalization of fuzzy sets, intuitionistic fuzzy sets and picture fuzzy sets enhances implications of these methods in various interdisciplinary problems. Aggregation operator is a prevalent tool for unifying the data from various sources and applied to solve the problems of decision-making. In this article, the Yager's operations and power averaging operator are utilized to formulate and investigate some single-valued neutrosophic Yager power operators, i.e., single-valued neutrosophic Yager power weighted averaging (SVNYPWA) ope

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Book chapters on the topic "Single-valued neutrosophic sets (SVNSs)"

1

Bharatraj, Janani, and M. Clement Joe Anand. "Power Harmonic Weighted Aggregation Operator on Single-Valued Trapezoidal Neutrosophic Numbers and Interval-Valued Neutrosophic Sets." In Fuzzy Multi-criteria Decision-Making Using Neutrosophic Sets. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00045-5_3.

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Khan, Muhammad Jabir, and Poom Kumam. "A New Similarity Measure for Single Valued Neutrosophic Sets." In Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85577-2_47.

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Singh, Akanksha, Said Broumi, S. Krishna Prabha, Assia Bakali, and Mohamed Talea. "An Enhanced Score Function for Quadripartitioned Single-Valued Neutrosophic Sets." In Infosys Science Foundation Series. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-6972-8_21.

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Bao, Yan-Ling, and Hai-Long Yang. "On Single Valued Neutrosophic Refined Rough Set Model and Its Application." In Fuzzy Multi-criteria Decision-Making Using Neutrosophic Sets. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00045-5_6.

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Hussain, Satham S., Muhammad Aslam, Hossein Rahmonlou, and N. Durga. "Applying Interval Quadripartitioned Single-Valued Neutrosophic Sets to Graphs and Climatic Analysis." In Data-Driven Modelling with Fuzzy Sets. CRC Press, 2024. http://dx.doi.org/10.1201/9781003487104-6.

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Ali, Zeeshan, Tahir Mahmood, and Florentin Smarandache. "Three-Way Decisions with Single-Valued Neutrosophic Uncertain Linguistic Decision-Theoretic Rough Sets Based on Generalized Maclaurin Symmetric Mean Operators." In Neutrosophic Operational Research. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-57197-9_5.

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Nirmal, N. P., and M. G. Bhatt. "Development of Fuzzy-Single Valued Neutrosophic MADM Technique to Improve Performance in Manufacturing and Supply Chain Functions." In Fuzzy Multi-criteria Decision-Making Using Neutrosophic Sets. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00045-5_27.

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Deli, Irfan. "Theory of Single Valued Trapezoidal Neutrosophic Numbers and Their Applications to Multi Robot Systems." In Toward Humanoid Robots: The Role of Fuzzy Sets. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67163-1_10.

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Vennila, B., and C. Antony Crispin Sweety. "Analyzing an M/M/c Queue with Linguistic Single-Valued Neutrosophic Logic Using Parametric Nonlinear Programming." In Data-Driven Modelling with Fuzzy Sets. CRC Press, 2024. http://dx.doi.org/10.1201/9781003487104-3.

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Nancy. "Parametric Similarity Measures on Linguistic Single-Valued Neutrosophic Sets with Application to Decision-Making Problems." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16657-1_94.

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Conference papers on the topic "Single-valued neutrosophic sets (SVNSs)"

1

Li, Peng, Xinjie Su, Wenya Wu, Xinru Zhu, and Huiming Xing. "Research on Different Weights of Single-Valued Neutrosophic Sets in Recommendation System." In 2022 5th International Conference on Data Science and Information Technology (DSIT). IEEE, 2022. http://dx.doi.org/10.1109/dsit55514.2022.9943972.

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