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Relevant bibliographies by topics / Single-valued neutrosophic set (SVNS)

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Academic literature on the topic 'Single-valued neutrosophic set (SVNS)'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Single-valued neutrosophic set (SVNS)"

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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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Ren, Shapu. "Multicriteria Decision-Making Method Under a Single Valued Neutrosophic Environment." International Journal of Intelligent Information Technologies 13, no. 4 (2017): 23–37. http://dx.doi.org/10.4018/ijiit.2017100102.

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A single valued neutrosophic set (SVNS) is a subclass of neutrosophic sets, which generalizes fuzzy sets, interval valued fuzzy set, and intuitionistic fuzzy set. It can be used to easily express incomplete, indeterminate and inconsistent information. This paper introduces the Dice similarity measure of single valued neutrosophic numbers (SVNNs) for ranking SVNNs and a single valued neutrosophic prioritized weighted geometric (SVNPWG) operator for aggregating single valued neutrosophic information. Based on the SVNPWG operator and the Dice similarity measure for SVNNs, a multicriteria decision

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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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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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Liu, Chunfang, and YueSheng Luo. "The Weighted Distance Measure Based Method to Neutrosophic Multiattribute Group Decision Making." Mathematical Problems in Engineering 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/3145341.

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Neutrosophic set (NS) is a generalization of fuzzy set (FS) that is designed for some practical situations in which each element has different truth membership function, indeterminacy membership function, and falsity membership function. In this paper, we study the multiattribute group decision making (MAGDM) problems under neutrosophic environment with the incompletely known or completely unknown attribute weight. We first define the single-valued neutrosophic ideal solution (SVNIS) and the weighted distance measure and establish the program models to derive the attribute weights. Then, we gi

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Rong, Yuan, Wenyao Niu, Harish Garg, Yi Liu, and Liying Yu. "A Hybrid Group Decision Approach Based on MARCOS and Regret Theory for Pharmaceutical Enterprises Assessment under a Single-Valued Neutrosophic Scenario." Systems 10, no. 4 (2022): 106. http://dx.doi.org/10.3390/systems10040106.

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Evaluating pharmaceutical enterprises with sustainable and high-quality development ability (SHQDA) can not only provide strategies for the pharmaceutical management department in formulating enterprise development plans, but also provide suggestions and guidance for enterprises to enhance their core competitiveness. Nevertheless, the prior research possesses several deficiencies in coping with the assessment of enterprises with SHQDA under uncertain environments to predict the psychological behavior of the evaluator and the correlation among the evaluation criteria. To conquer the aforementio

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Sharma, Sonam, and Surender Singh. "A Complementary Dual of Single-Valued Neutrosophic Entropy with Application to MAGDM." Mathematics 10, no. 20 (2022): 3726. http://dx.doi.org/10.3390/math10203726.

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A single-valued neutrosophic set (SVNS) is a subcategory of neutrosophic set that is used to represent uncertainty and fuzziness in three tiers, namely truthfulness, indeterminacy, and falsity. The measure of entropy of a SVNS plays an important role to determine the ambiguity in a variety of situations. The knowledge measure is a dual form of entropy and is helpful in certain counterintuitive situations. In this paper, we introduce a knowledge measure for the SVNS and contrast the same with existing measures. The comparative study reveals that the proposed knowledge measure is more effective

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G, Upender Reddy, Siva Nageswara Rao T, Srinivasa Rao N, and Venkateswara Rao V. "Bipolar single valued neutrosophic detour distance." Indian Journal of Science and Technology 14, no. 5 (2021): 427–31. https://doi.org/10.17485/IJST/v14i5.2102.

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Abstract <strong>Objectives:</strong> In the present article, we deduced a characterization of Bipolar Single Valued Neutrosophic (BSVN) radius and eccentricity of the vertex based on Bipolar Single Valued Neutrosophic set(BSVNS) detour. <strong>Method:</strong> We obtained some definitions BSVN on a vertex like BSVN detour eccentric vertex, BSVN detour radius, BSVN detour diameter, BSVN detour centered and BSVN detour periphery. Findings: We derived some important results based on these BSVN detour radius, diameter, center and periphery. <strong>Novelty:</strong> The

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Imran, Raiha, Kifayat Ullah, Zeeshan Ali, and Maria Akram. "An Approach to Multi-Attribute Decision-Making Based on Single-Valued Neutrosophic Hesitant Fuzzy Aczel-Alsina Aggregation Operator." Neutrosophic Systems with Applications 22 (October 1, 2024): 43–57. http://dx.doi.org/10.61356/j.nswa.2024.22387.

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A single-valued Neutrosophic hesitant fuzzy set (SVNHFS) is a combination of a single-valued neutrosophic set (SVNS) and hesitant fuzzy set (HFS) that has been developed to address insufficient, unreliable, and vague environments in which each element has several possible options determined by the truthiness, indeterminacy and falsity value. By considering this, in this paper, we have proposed the Aczel-Alsina aggregation operator (AAAO) for SVNHFS, which is more flexible t-norm and t-conorm than the other and due to the flexible nature of parameters to solve Multi-Attribute decision making (M

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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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Book chapters on the topic "Single-valued neutrosophic set (SVNS)"

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Pramanik, Surapati. "Single-Valued Neutrosophic Set: An Overview." In Integrated Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94651-7_26.

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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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Naz, Sumera, Syeda Saba Fatima, Shariq Aziz Butt, Mehwish Majeed, and Areej Fatima. "A Novel MAGDM Approach for Software Quality Assessment: A Focus on Microsoft DevOps Transformation Using 2-Tuple Linguistic Single-Valued Neutrosophic Set." In Studies in Fuzziness and Soft Computing. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-78505-4_21.

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Debnath, Somen. "Inverse Single-Valued Neutrosophic Soft Set and Its Application." In Handbook of Research on Advances and Applications of Fuzzy Sets and Logic. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-7979-4.ch032.

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Single-valued neutrosophic set (SVNS) can be viewed as an instance of the neutrosophic set (NS) proposed by Smarandache in 2005 to solve real decision-making problems that contain imperfect knowledge of the domain. Embedding the idea of SVNS with the soft set (SS), a new mathematical structure known as a single-valued neutrosophic soft set (SVNSS) is introduced to model the vague concept parametrically. In this chapter, the authors introduce a new soft model, namely inverse single-valued neutrosophic soft set (ISVNSS), that can be perceived as another mathematical model which is used to solve

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Yapıcı Pehlivan, Nimet, and Neşe Yalçın. "Neutrosophic TOPSIS Method for Sustainable Supplier Selection in a Discount Market Chain." In Handbook of Research on Advances and Applications of Fuzzy Sets and Logic. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-7979-4.ch031.

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Sustainable supplier selection is one of the most important decisions for companies in sustainable supply chain management. Therefore, sustainable supplier performance evaluation and selection are of great importance in terms of economic, environmental, and social aspects of sustainable development. Sustainable supplier selection problem can be considered as a multiple-criteria decision-making (MCDM) problem. In the MCDM problems, decision-makers evaluate conflicting criteria and alternatives according to their own preferences/judgments. One of the most well-known MCDM methods is the technique

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Ruan, Sheng-Yi, Jun Ye, and Wen-Hua Cui. "An Improved PID Tuning Method by Applying Single-Valued Neutrosophic Cosine, Tangent, and Exponential Measures and a Simulated Annealing Algorithm." In Neutrosophic Sets in Decision Analysis and Operations Research. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2555-5.ch002.

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This chapter introduces an improved proportional-integral-derivative (PID) adjusting method by applying a simulated annealing algorithm (SAA) and the cosine, tangent, exponential measures of single-valued neutrosophic sets (SvNSs). For the approach, characteristic values of the unit step response (rise time, peak time, settling time, undershoot ratio, overshoot ratio, and steady-state error) in the control system should be neutrosophicated by the neutrosophic membership functions. Next, one of cosine, tangent, and exponential measures is used to obtain the similarity measure of the ideal SvNS

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Deli, Irfan, and Emel Kırmızı Öztürk. "Two Centroid Point for SVTN-Numbers and SVTrN-Numbers." In Advances in Data Mining and Database Management. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1313-2.ch010.

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In this chapter, some basic definitions and operations on the concepts of fuzzy set, fuzzy number, intuitionistic fuzzy set, single-valued neutrosophic set, single-valued neutrosophic number (SVN-number) are presented. Secondly, two centroid point are called 1. and 2. centroid point for single-valued trapezoidal neutrosophic number (SVTN-number) and single-valued triangular neutrosophic number (SVTrN-number) are presented. Then, some desired properties of 1. and 2. centroid point of SVTN-numbers and SVTrN-numbers studied. Also, based on concept of 1. and 2. centroid point of SVTrN-numbers, a n

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Bai, Wenhui, Juanjuan Ding, Chao Zhang, Yanhui Zhai, Deyu Li, and Said Broumi. "Adjustable Multigranulation SVN Probabilistic Rough Sets With Application to Teamwork Evaluations." In Handbook of Research on the Applications of Neutrosophic Sets Theory and Their Extensions in Education. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-7836-3.ch002.

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In the community of generalized fuzzy sets, the notion of single-valued neutrosophic sets (SVNSs) enables individuals to express their preferences by processing the indeterminate information, thus it plays a significant role in intelligent information processing. For addressing teamwork assessment tasks in the education setting, this chapter concentrates on exploring a viable teamwork assessment method via multi-attribute group decision-making (MAGDM). After revisiting basic notions of SVNSs and multigranulation probabilistic rough sets (MG PRSs), this chapter first puts forth a new model name

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Mahapatra, Nirmal Kumar, and Tuhin Bera. "Generalised Single-Valued Neutrosophic Number and Its Application to Neutrosophic Linear Programming." In Neutrosophic Sets in Decision Analysis and Operations Research. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2555-5.ch009.

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In this chapter, the concept of single valued neutrosophic number (SVN-Number) is presented in a generalized way. Using this notion, a crisp linear programming problem (LP-problem) is extended to a neutrosophic linear programming problem (NLP-problem). The coefficients of the objective function of a crisp LP-problem are considered as generalized single valued neutrosophic number (GSVN-Number). This modified form of LP-problem is here called an NLP-problem. An algorithm is developed to solve NLP-problem by simplex method. Finally, this simplex algorithm is applied to a real-life problem. The pr

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R., Subha,, and Mohana K. "IMPROVED CORRELATION COEFFICIENTS OF FERMATEAN PENTAPARTITIONED SINGLE VALUED NEUTROSOPHIC SETS AND INTERVAL FERMATEAN PENTAPARTITIONED NEUTROSOPHIC SETS FOR MULTIPLE ATTRIBUTE DECISION MAKING." In Recent Trends in Fuzzy Set Theory and its Applications. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/nbennurch282.

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A correlation coefficient is a statistical measure that helps identify how many changes in one value signal change in another. Wang's single valued neutrosophic sets were improvised into Fermatean Pentapartitioned single valued neutrosophic sets. We investigated the attributes of the interval Fermatean pentapartitioned neutrosophic sets and Fermatean pentapartitioned single-valued neutrosophic sets. Additionally, we have used this idea in many decisionmaking techniques using interval and Fermatean pentapartitioned single valued neutrosophic environments. Eventually we presuming (that) an examp

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Conference papers on the topic "Single-valued neutrosophic set (SVNS)"

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Awang, Azzah, Ahmad Termimi Ab Ghani, Lazim Abdullah, and Muhammad Fadhli Ahmad. "A DEMATEL method with single valued neutrosophic set (SVNS) in identifying the key contribution factors of Setiu Wetland’s coastal erosion." In PROCEEDING OF THE 25TH NATIONAL SYMPOSIUM ON MATHEMATICAL SCIENCES (SKSM25): Mathematical Sciences as the Core of Intellectual Excellence. Author(s), 2018. http://dx.doi.org/10.1063/1.5041542.

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