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Journal articles on the topic 'SVNS'

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Published: 4 June 2025
Last updated: 6 July 2025

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1

Cano, Allan, and Gaudencio Petalcorin. "Single-valued Neutrosophic Soft Sets in Hyper UP-Algebra." European Journal of Pure and Applied Mathematics 16, no. 1 (2023): 548–76. http://dx.doi.org/10.29020/nybg.ejpam.v16i1.4637.

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In this paper, the notions of SVN hyper UP-algebra and SVNS hyper UP-algebra are introduced, and some of their structural properties are investigated. Moreover, the Cartesian product of SVNS hyper UP-algebra is discussed and proved to be a SVNS hyper UP- algebra. Finally, the homomorphic image and preimage of SVNS hyper UP-algebra under SVNS functions are studied and showed also to be SVNS hyper UP-algebra.
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2

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 attitude comes from the historical experience and risk preference etc. The distance calculated in this way can often get a matching result closer to the reality. The results show that the improved distance formula of SVNSs is more effective and more practical for pattern recognition.
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3

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 aforementioned defects, we propose an integrated framework for rating pharmaceutical enterprises that incorporates regret theory, measurement alternatives and ranking based on the compromise solution (MARCOS) and Heronian mean operating within a single-value neutrosophic set (SVNS) environment. First, the single-valued neutrosophic number (SVNN) is employed to portray the assessment information of experts. Then, a novel single-valued neutrosophic score function is presented to enhance the rationality of the SVNN comparison. Next, a combined criteria weight model is constructed by synthesizing the best and worst method (BWM) and criteria importance through intercriteria correlation (CRITIC) approach to attain more reasonable and credible weight information. Furthermore, the integrated assessment framework combining regret theory-MARCOS method and Heronian mean operator is put forward to assess and select the enterprises with SHQDA under a single-valued neutrosophic setting. Ultimately, an empirical concerning the pharmaceutical enterprises assessment is presented within SVNS to illustrate the usefulness and effectiveness of the presented SVNS regret theory-MARCOS method. Thereafter, the sensitivity analysis and comparison analysis are implemented to provide evidence for the rationality and superiority of the proposed method.
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Feng, Xianling, Xinxin Yue, and Mao Niu. "Simvastatin-Loaded Nanomicelles Enhance the Osteogenic Effect of Simvastatin." Journal of Nanomaterials 2020 (November 18, 2020): 1–14. http://dx.doi.org/10.1155/2020/1072765.

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Objectives. The present study intended to further verify that simvastatin-loaded nanomicelles (SVNs) enhanced the role of simvastatin (SV) in promoting osteoblast differentiation in vitro and to evaluate the effect of SVNs on bone defect repair in vivo. Methods. SVNs were synthesized by dialysis. MG63 cells were subjected to intervention with 0.25 μmol/l of SVNs and SV. A 3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium (MTS) assay kit and flow cytometry were used to determine cell proliferation activity, cell cycle distribution, and apoptosis. The osteoblastic differentiation of MG 63 cells was evaluated by measuring alkaline phosphatase (ALP) activity, ALP staining, and the expression levels of the osterix (Osx) and osteocalcin (OC) proteins. In addition, 0.5 mg of SVNs or SV was applied to the skull defect area of rabbits. Micro-CT, hematoxylin and eosin (HE) staining, and Masson’s trichrome staining were used for qualitative and quantitative evaluation of new bone in three dimensions and two dimensions. Results. The SVNs had a mean diameter of 38.97 nm. The encapsulation and drug-loading efficiencies were 54.57 ± 3.15 % and 10.91 ± 0.63 % , respectively. In vitro, SVNs and SV can inhibit the proliferation activity and promote osteogenic differentiation of MG63 cells by arresting MG63 cells at the G0/G1 phase without increasing the apoptosis rate. In vivo quantitative results showed that the bone mineral density (BMD), bone volume (BV)/total volume (TV) ratio, and trabecular number (Tb.N) in the gelatin sponge with SVNs (SVNs-GS) group and gelatin sponge with SV (SV-GS) group were 362.1%, 292.0%; 181.3%, 158.0%; and 215.2%, 181.8% of those in the blank control (BC) group, respectively. Histological results identified the new bone tissue in each group as irregular fibrous bone, and the arrangement of trabecular bone was disordered. There were significantly more osteoblasts and new capillaries around the trabecular bone in the SVNs-GS group and SV-GS group than in both the BC and drug-free nanomicelle (DFNs) groups. Both in vitro and in vivo, SVNs exhibited greater osteogenic efficacy than SV. Conclusion. SVNs significantly improved the osteogenic efficacy of SV.
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5

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 algorithm to choose the optimal solution. The subject under study has also been applied to other MCDM methods, such as the more prevalent VIKOR and MOORA procedures. The SVNS-VIKOR technique has also been applied to the issue at hand. Using the same illustrative scenario, this study evaluates the strengths and weaknesses of several methods for verifying the accuracy of previously published data. The usefulness and efficiency of the used strategy are highlighted by the comparison study. When applied to real-world situations, the suggested method shines because it yields reliable findings even though the underlying data is plagued with issues such as uncertainty, imprecision, indeterminacy, and inconsistency.
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6

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 weighted single-valued neutrosophic SS MM (WSVNSSMM) operator. We listed some properties of them and some particular cases about various parameter values. We also proposed the multi-criteria decision-making method based on the WSVNSSMM operator in SVNS. At last, we illustrated the feasibility of this method using a numerical example of company investment.
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7

Mee, Katie. "Working together as SVNs." Veterinary Nursing Journal 35, no. 8 (2020): 221. http://dx.doi.org/10.1080/17415349.2020.1825145.

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8

Alghamdi, Mohammed I. "Single Valued Neutrosophic Sets with Optimal Support Vector Machine for Sentiment Analysis." International Journal of Neutrosophic Science 18, no. 3 (2022): 227–37. http://dx.doi.org/10.54216/ijns.1803020.

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Sentiment analysis (SA) is mainly employed to investigate the polarity of the sentiment existent in a content. It assist in understanding the opinions or feelings expressed by people. It find useful in several application areas such as e-commerce, education, etc. Natural language processing (NLP) and machine learning tools can be employed for SA. In this view, this study develops a Single Valued Neutrosophic Sets with Optimal Support Vector Machine (SVNS-OSVM) model for SA. The major intention of the SVNS-OSVM model is to identify the existence of sentiments exist in the data. The SVNS-OSVM model initially performs data pre-processing to transform the input data into a useful format. In addition, SVNS model is applied to derive word embeddings. Then, SVM model is applied for the detection and classification of sentiments. At the last level, the improved particle swarm optimization (IPSO) algorithm is used to fine tune the parameters involved in the SVM model. For ensuring the improved outcomes of the SVNS-OSVM model, a wide range of simulations were performed and the results are inspected under several aspects. The comparative study highlighted the betterment of the SVNS-OSVM model compared to recent approaches.
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9

Ren, Jinluan, Liping Zhao, Bo Li, Lihua Liu, and Ruben Xing. "Measuring Service Utilities in Service Value Networks." International Journal of Information Systems in the Service Sector 9, no. 2 (2017): 1–26. http://dx.doi.org/10.4018/ijisss.2017040101.

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In spite of the importance of service value networks (SVNs) in today's service sectors, academic studies of SVNs, in terms of their formalisms, models and value creation processes, are still lacking, with only sporadic publications available. This paper intends to make a contribution to the formal studies of SVNs with a threefold aim: (1) to provide an overview of existing work on value creation processes in SVNs and SVN models, (2) through this exposition, to propose a formalism for measuring service utility for SVNs, and (3) to illustrate this formalism through a real world SVN scenario based on China's mobile services market. The proposed formalism consists of a formal definition of service utilities for both primitive and complex services and a systematic approach with repeatable processes for measuring these utilities. Among several potential practical uses, this formalism can be embedded into a software system as a decision tool for service selection, composition and pricing. In addition, it can also serve as a business services analysis tool during the early stages of developing software intensive service systems, where business service abstractions can be represented as SVNs.
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10

Taylor, Susanna, and Liz Armitage-Chan. "An evidence-based approach to workplace anaesthesia training. Part 2." Veterinary Nurse 12, no. 8 (2021): 348–53. http://dx.doi.org/10.12968/vetn.2021.12.8.348.

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Part one of this article considered the value of using educational evidence to teach student veterinary nurses (SVNs), discussed the characteristics of SVNs as learners, and described the importance of developing SVNs—not only in their anaesthetic skills, but also in becoming more self-directed professionals. As part one highlighted some of the challenges that SVNs experience as they attempt to learn in a veterinary practice, this second part will consider some common questions about veterinary nursing teaching and provide examples of techniques that can be used by registered veterinary nurses (RVNs) to improve teaching strategies for anaesthesia in the workplace. While some of the educational theories mentioned may be dated, this article aims to use supportive contemporary evidence to show how they are still relevant to help guide our teaching.
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11

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-making method with different priority levels in the criteria is established in which the evaluation values of alternatives with respective to criteria are represented in the form of SVNNs. The ranking order of alternatives is performed through the Dice measure and the best one(s) can be determined as well. Finally, an illustrative example shows the application of the proposed method.
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12

Reynolds, Helen, and Sarah Reynolds-Golding. "Reviewing the emotional climates of student veterinary nurses completing industry placements." Veterinary Nurse 14, no. 7 (2023): 316–22. http://dx.doi.org/10.12968/vetn.2023.14.7.316.

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Background: Student veterinary nurses (SVNs) are required to complete industry placements as part of their training. Veterinary nurse education helps prepare students theoretically and practically. This study examines how SVNs, from two cohorts of a foundation degree course in veterinary nursing from one education provider, felt during their industrial placement year and whether the preparatory support was sufficient during their time in veterinary practice. Aim: There is little reporting of the emotions SVNs face prior to starting and following completion of their work placements and how educational interventions may have a positive impact on their experiences. The aim of this study was to gain an understanding of SVNs' emotions pre- and post-work placement to help identify if there is a need for more targeted educational interventions during their studies to help them better prepare emotionally for the experiences they may face during their placements. Methods: An online questionnaire was given to two foundation degree level 5 SVN cohorts during placement (pre and post) in academic years 2019–20 and 2020–21. In total, 54 responses were submitted to 22 questions (pre-placement) and 41 responses to 58 questions (post-placement). Findings: The top three positive emotions were happiness, excitement and confidence. The top three negative emotions were sadness, anxiety and stress. The results indicated that students could benefit from protected time with their mentors and required clearer expectations prior to starting their industry placement and further support, particularly around animal euthanasia and building resilience. Limitations of the study included that the mid-study interventions that aimed to support the students may have impacted the results and, due to anonymity, we are unable to compare individual pre- and post-placement response rates. Conclusion: Education providers could be doing more to provide SVNs with a toolkit to becoming emotionally agile and resilient so as to help SVNs emotional wellbeing and preparatory support with their industry placement year.
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Aulicino, Francesco, Julien Capin, and Imre Berger. "Synthetic Virus-Derived Nanosystems (SVNs) for Delivery and Precision Docking of Large Multifunctional DNA Circuitry in Mammalian Cells." Pharmaceutics 12, no. 8 (2020): 759. http://dx.doi.org/10.3390/pharmaceutics12080759.

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DNA delivery is at the forefront of current research efforts in gene therapy and synthetic biology. Viral vectors have traditionally dominated the field; however, nonviral delivery systems are increasingly gaining traction. Baculoviruses are arthropod-specific viruses that can be easily engineered and repurposed to accommodate and deliver large sequences of exogenous DNA into mammalian cells, tissues, or ultimately organisms. These synthetic virus-derived nanosystems (SVNs) are safe, readily customized, and can be manufactured at scale. By implementing clustered regularly interspaced palindromic repeats (CRISPR) associated protein (CRISPR/Cas) modalities into this system, we developed SVNs capable of inserting complex DNAs into genomes, at base pair precision. We anticipate a major role for SVNs as an attractive alternative to viral vectors in accelerating genome engineering and gene therapy applications in the future.
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Bathusha, S. N. Suber, та S. Angelin Kavitha Raj. "A Novel Approach on Energy of λJ-dominating Single-Valued Neutrosophic Graph Structure". Neutrosophic Systems with Applications 16 (6 квітня 2024): 48–66. http://dx.doi.org/10.61356/j.nswa.2024.16215.

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The concept of dominance is one of the most important ideas in graph theory for handling random events, and it has drawn the interest from many scholars. Research related to graph energy has garnered a lot focus recently. The application of single-valued neutrosophic graphs (SVNGs) for energy, Laplacian energy, and dominating energy has been recommended by previous studies. In this research, we apply the concepts of single-valued neutrosophic sets (SVNS) to graph structures (GSs) and investigate some intriguing features of single-valued neutrosophic graph structures (SVNGS). Moreover, the notions of λJ-dominating energy GS in an SVNGS environment are analyzed in this study. More specifically, illustrative examples are used to develop the adjacency matrix of a λJ-dominating SVNGS, as well as the spectrum of the adjacency matrix and their related theory. Further, the SVNGS λJ-dominating energy is determined. We go over various characteristics and constraints for the energy of SVNGS with λJ-dominating. Further, we introduce the idea of isomorphic and identical λJ-dominating SVNGS energy, which has been studied using relevant examples, and some of its established properties are presented.
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Taylor, Susanna, and Liz Armitage-Chan. "The use of an evidence-based approach for teaching student veterinary nurses during workplace anaesthesia training. Part 1." Veterinary Nurse 12, no. 7 (2021): 300–305. http://dx.doi.org/10.12968/vetn.2021.12.7.300.

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Registered veterinary nurses (RVNs) are often required to take up the role of a teacher for student veterinary nurses (SVNs) during workplace learning. Formal education training is not a routine part of the veterinary nurse curriculum and so it is common that RVNs undertaking this role do so without background knowledge of education theory. In the same way that evidence-based medicine guides clinical decisions, evidence can guide educational practice and the ways that RVNs teach SVNs. Evidence-based education is particularly valuable for workplace learning, which can be an environment where it is particularly challenging to teach and learn. This may be particularly the case during anaesthesia, when the RVN is responsible for the safety and wellbeing of the anaesthetised patient. Part 1 of this article will discuss the importance of evidence-based education, give an insight into the characteristics of SVNs as adult learners, and discuss the importance of developing SVNs as self-directed learners. While many of the educational theories and initially conceived frameworks discussed may be dated, this article aims to contextualise them into the niche area of veterinary nurse workplace education, using supportive contemporary evidence, to show how they can be used to help us understand the challenges RVNs face. Part 2 will focus on using these ideas to develop strategies to strengthen our teaching approaches.
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Ouédraogo, Lionel Olivier, Lishi Deng, Cheick Ahmed Ouattara, et al. "Describing Biological Vulnerability in Small, Vulnerable Newborns in Urban Burkina Faso (DenBalo): Gut Microbiota, Immune System, and Breastmilk Assembly." Nutrients 16, no. 23 (2024): 4242. https://doi.org/10.3390/nu16234242.

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Background: Small vulnerable newborns (SVNs), including those born preterm, small for gestational age, or with low birth weight, are at higher risk of neonatal mortality and long-term health complications. Early exposure to maternal vaginal microbiota and breastfeeding plays a critical role in the development of the neonatal microbiota and immune system, especially in low-resource settings like Burkina Faso, where neonatal mortality rates remain high. Objectives: The DenBalo study aims to investigate the role of maternal and neonatal factors, such as vaginal and gut microbiota, immune development, and early nutrition, in shaping health outcomes in SVNs and healthy infants. Methods: This prospective cohort observational study will recruit 141 mother-infant pairs (70 SVNs and 71 healthy controls) from four health centers in Bobo-Dioulasso, Burkina Faso. The mother-infant pairs will be followed for six months with anthropometric measurements and biospecimen collections, including blood, breast milk, saliva, stool, vaginal swabs, and placental biopsies. Multi-omics approaches, encompassing metagenomics, metabolomics, proteomics, and immune profiling, will be used to assess vaginal and gut microbiota composition and functionality, immune cell maturation, and cytokine levels at critical developmental stages. Conclusions: This study will generate comprehensive data on how microbiota, metabolomic, and proteomic profiles, along with immune system development, differ between SVNs and healthy infants. These findings will guide targeted interventions to improve neonatal health outcomes and reduce mortality, particularly in vulnerable populations.
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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 in modeling the structured linguistic variables. We provide the relations of the proposed knowledge measure with single valued neutrosophic similarity and distance measures. We also investigate the application of the proposed measure in multi-attribute group decision making (MAGDM). The proposed MAGDM model is helpful when the decision makers in the group have varied background and the hiring organization is unable to assign the level of importance or weight to a decision-maker.
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Balieiro, Andson, Marcos Falcão, and Kelvin Dias. "An Evolutionary Scheme for Secondary Virtual Networks Mapping onto Cognitive Radio Substrate." Wireless Communications and Mobile Computing 2019 (March 21, 2019): 1–19. http://dx.doi.org/10.1155/2019/1872765.

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The Fifth Generation (5G) of wireless communication is envisioned to comprise heterogeneous applications, different radio access technologies (RATs), and a large demand for mobile traffic. In this respect, Wireless Virtualization (WV) and Cognitive Radio (CR) are put forward as 5G enablers for providing additional spectrum resources through dynamic spectrum access (DSA) techniques, besides dealing with heterogeneity with no hardware modification. By empowering the synergy between CR and WV, we visualize an environment denoted as Cognitive Radio Virtual Networks Environment (CRVNE) that encompasses VWNs with different access priorities, called Primary Virtual Networks (PVNs) and Secondary Virtual Networks (SVNs) that may be deployed in an overlay manner. In this scenario, the SVNs users (SUs) access the resources opportunistically, which naturally raises challenges towards the SVN mapping. In this paper, we revisit our previous letter that models the interactions between PUs and SUs in a CRVNE and analyzes a proposed formulation for collision probability during the SVN mapping process. The current work is pioneer as it presents a comprehensive approach to the SVNs mapping problem; models, validates, and analyzes additional performance metrics such as SU blocking and SU dropping probabilities and joint utilization; formulates the SVNs mapping as a multiobjective problem; and proposes an evolutionary scheme based on Genetic Algorithms (GAs) to solve it. The results show that the proposed scheme outperforms the alternative method in terms of collision, SU dropping, SU blocking probabilities, and joint utilization under different primary and secondary loads.
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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 inadequacy and ambiguity, may be efficiently described using single-valued neutrosophic sets (SVNSs). Several strategies, including the PROMETHEE strategy, are offered to address the MADM issue in SVNSs. The PROMETHEE technique ranks potential solutions by first having the decision maker pick a preferred function for every criterion. In this paper, the SVNS is integrated with the PROMETHEE method for water supply management in smart farming.
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Emad, Moahmed, Mahmoud Ismail, Heba Rashad, Ahmed M. Ali, and Shimaa S. Mohamed. "An Intelligent Multi-Criteria Decision-Making Model for selecting an optimal location for a data center: Case Study in Egypt." Journal of Intelligent Systems and Internet of Things 9, no. 2 (2023): 23–35. http://dx.doi.org/10.54216/jisiot.090202.

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For businesses that depend on reliable and secure IT systems, choosing the best location for a data center is of paramount importance. Data center accessibility, operational efficiency, cost, and security are all affected by their physical location. The procedure entails considering a wide range of elements to guarantee that the final site meets the needs of the business. This paper investigated the multi-criteria decision-making (MCDM) model to select the best data center location based on a set of criteria. The MCDM method is integrated with the single-valued neutrosophic set (SVNS) to deal with vague and inaccurate information. A neutrosophic set with truth, indeterminacy, and falsity membership functions all in the range [0, 1] is called a SVNS. This paper used SVNS with three MCDM methods such as entropy, TOPSIS, and MABAC techniques. The entropy technique is used to compute the weights of criteria, then the TOPSIS and MABAC methods are used to rank the locations. The case study is investigated in Egypt. This paper used ten criteria and eight alternatives.
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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 give a practical application in the framework of SVNS; the result shows that our method is reasonable and effective in dealing with decision making (DM) problems. Furthermore, we extend the method to interval-valued neutrosophic set (IVNS).
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Al-Kaseasbeh, Saba, Madeline Al Tahan, Bijan Davvaz, and Mariam Hariri. "Single valued neutrosophic $ (m, n) $-ideals of ordered semirings." AIMS Mathematics 7, no. 1 (2021): 1211–23. http://dx.doi.org/10.3934/math.2022071.

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<abstract><p>The aim of this paper is to combine the innovative concept of single valued neutrosophic sets and ordered semirings. It studies ordered semirings by the properties of their single valued neutrosphic subsets. In this regard, we define single valued neutrosophic $ (m, n) $-ideals (SVN-$ (m, n) $-ideals) of ordered semirings. First, we illustrate our new definition by non-trivial examples. Second, we study these SVN-$ (m, n) $-ideals under different operations of SVNS. Finally, we find a relationship between the $ (m, n) $-ideals of ordered semirings and level sets by finding a necessary and sufficient condition for an SVNS of an ordered semiring $ R $ to be an SVN-$ (m, n) $-ideal of $ R $.</p></abstract>
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Mallick, Rama, Surapati Pramanik, and Bibhas Giri. "Neutrosophic MAGDM based on critic-EDAS strategy using geometric aggregation operator." Yugoslav Journal of Operations Research, no. 00 (2023): 16. http://dx.doi.org/10.2298/yjor221017016m.

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Nowadays career choosing is a very difficult job for many students. This paper primarily addresses the concerns of those students who face difficulty in choosing the right career option for themselves, using multi-attribute group decision-making (MAGDM) methodologies based on CRITIC (Criteria Importance Through Inter criteria Correlation) and EDAS (Evaluation based on Distance from Average Solution) strategies under the single-valued neutrosophic set (SVNS) environment. First, the CRITIC strategy is used to calculate the weights of the attributes and then these weights are used to develop EDAS strategy in the SVNS environment. Since the usage of the geometric operator CRITIC-EDAS has not before been documented in the literature, this study is distinctive. A realistic example of commerce students? career selection problem is discussed.
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Krishna Kumar, Sherline Pimenta, and Ravi Poovaiah. "Presence of Universal Elements Across Static Visual Narratives (Svns)." Design Principles and Practices: An International Journal—Annual Review 5, no. 3 (2011): 105–24. http://dx.doi.org/10.18848/1833-1874/cgp/v05i03/38078.

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Pustokhina, Irina V., and Denis A. Pustokhin. "An Intelligent Neutrosophic Model for Evaluation Sustainable Housing Affordability." International Journal of Advances in Applied Computational Intelligence 2, no. 2 (2022): 45–53. http://dx.doi.org/10.54216/ijaaci.020205.

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An increasingly pressing concern for city planners, housing affordability (HA) is fundamentally a political problem involving the redistribution of city resources. While attention to social policy was and is very important, this is often spatially absent. So, this paper proposed a framework to evaluate sustainable housing affordability (SHA). In this research, we present a method for multi-criteria decision-making (MCDM) issues by adapting the method for ordering preferences according to the degree to which a given solution is like the ideal one (TOPSIS). Experts' assessments of every choice in terms of each criterion are reflected in a single-valued neutrosophic set (SVNS). More gaps in knowledge may be filled in with the help of neutrosophic sets, which are differentiated by their truth, indeterminacy, and falsity values. The SHA is evaluated using the SVNS TOPSIS method. Lastly, an instance illustration is given to showcase the strategy's usefulness and efficacy.
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MUSTAPHA, NORZIEHA, Fatin Fadhlina Ahmad Riza, Nor Athirah Mansor, Nur Akmal Shafira Mazlan, Suriana Alias, and Roliza Md Yasin. "Utilizing the Clustering Techniques using Distance-Based Similarity Measures of SVNS in Medical Diagnosis." Applied Mathematics and Computational Intelligence (AMCI) 12, no. 4 (2023): 52–65. http://dx.doi.org/10.58915/amci.v12i4.251.

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The clustering techniques, combined with distance-based similarity measures of Single Valued Neutrosophic Sets (SVNS) are studied and applied in medical diagnosis. The study starts with reviewing SVNS' theoretical foundations, emphasising its ability to capture and handle ambiguous data. This study focuses on integrating distance-based similarity measurements to improve the clustering process, which has seen limited implementation thus far. The set of data includes three patients with five symptoms and three diagnoses. To deal with the data in medical diagnosis, each patient is diagnosed with a disease based on distance-based similarity measures. The disease with the highest similarity measure value indicates the recognized disease for that patient. Then, the diseases are clustered into different categories depend on the values of confidence level. The obtained results show that the suggested method enhances the precision of medical diagnosis significantly, especially in cases with ambiguity and uncertainty.
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Liu, Peide, and Hongyu Yang. "Three-Way Decisions with Single-Valued Neutrosophic Decision Theory Rough Sets Based on Grey Relational Analysis." Mathematical Problems in Engineering 2019 (October 3, 2019): 1–12. http://dx.doi.org/10.1155/2019/3258018.

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The single-valued neutrosophic set (SVNS) can not only depict imperfect information in the real decision system but also handle undetermined and inconformity information flexibly and effectively. Three-way decisions (3WDs) are often used as an effective method to deal with uncertainties, but the conditional probability is given by the decision maker subjectively, which makes the decision result too subjective. This paper proposes a novel model based on 3WDs to settle the multiattribute decision-making (MADM) problems, where the attribute values are described by SVNS, and the attribute weights are entirely unknown. At first, we build a single-valued neutrosophic decision theory rough set (SVNDTRS) model based on Bayesian decision process. Then, we use the analytic hierarchy process (AHP) approach to calculate the subjective weight of each attribute, the information entropy to obtain the attribute’s objective weight, and the minimum total deviation approach to determine the combined weight of the attributes. After obtaining the standard weight, the grey relational analysis (GRA) method is utilized to calculate the grey correlation closeness with the ideal solution, and the conditional probability is estimated by it. In addition, we develop a decision-making method in view of the ideal solution of 3WDs with the SVNS. This approach not only considers the lowest cost but also gives a corresponding semantic explanation for the decision result of each alternative, which can supplement the decision results of GRA. At last, we illustrate the feasibility and effectiveness of 3WDs through an example of supplier selection and compare it with other methods to verify the advantages of our approach.
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BAUŠYS, Romualdas, and Birutė JUODAGALVIENĖ. "Garage location selection for residential house by WASPAS-SVNS method." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 23, no. 3 (2017): 421–29. http://dx.doi.org/10.3846/13923730.2016.1268645.

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The paper deals with the location selection problem of the garage at the parcel of a single-family residential house. The mathematical model for this real life problem is constructed within MCDM framework. The significance of the chosen criteria was evaluated by AHP approach. The formulated MCDM problem is solved applying WASPAS extension, namely WASPAS-SVNS. The applied single-valued neutrosophic set allows to modeling uncertainty of the initial information explicitly. A numerical example is considered in order to verify the proposed approach.
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Wu, Fuzhong, and Yiming Fang. "Multilevel Evaluation of Teaching Quality in Higher Education Using Single-Valued Neutrosophic Set." Mobile Information Systems 2022 (March 17, 2022): 1–8. http://dx.doi.org/10.1155/2022/6217191.

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Evaluation of teaching quality is essential for teachers’ promotion, students’ course selection, and institutes’ standing. A multilevel evaluation framework for teaching quality in higher education was investigated by combining the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) with the single-valued neutrosophic set (SVNS). An indicator system was constructed, including the teaching performance and the students’ learning outcomes. For the qualitative indicator values, an SVNS representation method was proposed, aiming to describe the uncertainty and improve the credibility and validity of the evaluation. Then, both the qualitative data and quantitative data were applied to the TOPSIS-based multilevel evaluation framework, which consisted of an overall assessment and five specific evaluations. The former assessment would provide a final rank and determine the best lecturers to be given priority in awards and promotion. The latter would focus on identifying areas where the lecturers could do better and would give them tips to overcome their challenges. Finally, a descriptive example was provided to verify the proposed framework and demonstrate its practicality.
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Ekram, Ekram, Ahmed Salam Razzaq, Banin Shaker Jubeir, and Qays Hatem Imran. "On Neutrosophic Topological Spaces Generated by Single Value Neutrosophic Graph." International Journal of Neutrosophic Science 24, no. 1 (2024): 148–58. http://dx.doi.org/10.54216/ijns.240114.

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The concept of a single-valued neutrosophic graph SVNS-G is recently studied, the bond between neutrosophic graph N-G and neutrosophic topological graph NT-G was my goal in this research, I try to find a relation on the vertices of the SVN-G to structure NT-G add some theorems and corollaries.
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31

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 concepts of strong and weak SVNSs. This article has emphasized the drawbacks of the existing SF in SVNNs. Additionally, we propose an optimized weighted geometric operator (OWGO) for SVNNs, and its properties such as idempotency, boundedness, monotonicity, and commutativity are explored. Furthermore, the decision‐making approach has been depicted based on the proposed score function and OWGO to select the finest faculty for a university.
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32

Peide, Liu, Khan Qaisar, and Mahmood Tahir. "Multiple-attribute decision making based on single-valued neutrosophic Schweizer-Sklar prioritized aggregation operator." May 20, 2019. https://doi.org/10.5281/zenodo.3056412.

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Single-valued neutrosophic (SVN) sets can successfully describe the uncertainty problems, and Schweizer-Sklar (SS) t-norm (TN) and t-conorm (TCN) can build the information aggregation process more flexible by a parameter. To fully consider the advantages of SVNS and SS operations, in this article, we extend the SS TN and TCN to single-valued neutrosophic numbers (SVNN) and propose the SS operational laws for SVNNs.
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Florentino, Smarandache. "Breve Introducción a los Conjuntos y a la Lógica Neutrosófica Estándar y no Estándar." December 1, 2024. https://doi.org/10.5281/zenodo.14282656.

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Se recuerdan las definiciones de Conjunto Neutrosófico de Valor Único (SVNS), Conjunto Neutrosófico de Valor Intervalo (IVNS), Conjunto Neutrosófico de Valor Subconjunto (SVNS) y, respectivamente, Conjunto Neutrosófico No Estándar [Con Valor Único ( SVNS NoS ), Con Valor Intervalo ( IVNS NoS ) y Con Valor Subconjunto ( SVNS NoS )], junto con sus operadores. De manera similar, para Conjunto Neutrosófico Estándar y No Estándar. Lógica neutrosófica.
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34

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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35

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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36

Huanying, Zhang, Wang Fei, and Geng Yushui. "Multi-Criteria Decision-Making Method Based on Single-Valued Neutrosophic Schweizer–Sklar Muirhead Mean Aggregation Operators." May 21, 2019. https://doi.org/10.5281/zenodo.3073904.

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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 weighted single-valued neutrosophic SS MM (WSVNSSMM) operator. We listed some properties of them and some particular cases about various parameter values. We also proposed the multi-criteria decision-making method based on the WSVNSSMM operator in SVNS. At last, we illustrated the feasibility of this method using a numerical example of company investment.
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37

Ravagli, Enrico, Jeffrey Ardell, David Holder, and Kirill Aristovich. "A combined cuff electrode array for organ-specific selective stimulation of vagus nerve enabled by Electrical Impedance Tomography." Frontiers in Medical Technology 5 (April 17, 2023). http://dx.doi.org/10.3389/fmedt.2023.1122016.

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Previously developed spatially-selective Vagus Nerve Stimulation (sVNS) allows the targeting of specific nerve fascicles through current steering in a multi-electrode nerve cuff but relies on a trial-and-error strategy to identify the relative orientation between electrodes and fascicles. Fast Neural Electrical Impedance Tomography (FN-EIT) has been recently used for imaging neural traffic in the vagus nerves of pigs in a cross-correlation study with sVNS and MicroCT fascicle tracking. FN-EIT has the potential for allowing targeted sVNS; however, up to now, stimulation and imaging have been performed with separate electrode arrays. In this study, different options were evaluated in-silico to integrate EIT and stimulation into a single electrode array without affecting spatial selectivity. The original pig vagus EIT electrode array geometry was compared with a geometry integrating sVNS and EIT electrodes, and with direct use of sVNS electrodes for EIT imaging. Modelling results indicated that both new designs could achieve image quality similar to the original electrode geometry in all tested markers (e.g., co-localisation error <100 µm). The sVNS array was considered to be the simplest due to the lower number of electrodes. Experimental results from testing evoked EIT imaging of recurrent laryngeal activity using electrodes from the sVNS cuff returned a signal-to-noise ratio similar to our previous study (3.9 ± 2.4 vs. 4.1 ± 1.5, N = 4 nerves from 3 pigs) and a lower co-localisation error (≈14% nerve diameter vs. ≈25%, N = 2 nerves from 2 pigs). Performing FN-EIT and sVNS on the same nerve cuff will facilitate translation to humans, simplify surgery and enable targeted neuromodulation strategies.
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38

Fitchett, Adam, Svetlana Mastitskaya, and Kirill Aristovich. "Selective Neuromodulation of the Vagus Nerve." Frontiers in Neuroscience 15 (May 24, 2021). http://dx.doi.org/10.3389/fnins.2021.685872.

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Vagus nerve stimulation (VNS) is an effective technique for the treatment of refractory epilepsy and shows potential for the treatment of a range of other serious conditions. However, until now stimulation has generally been supramaximal and non-selective, resulting in a range of side effects. Selective VNS (sVNS) aims to mitigate this by targeting specific fiber types within the nerve to produce functionally specific effects. In recent years, several key paradigms of sVNS have been developed—spatially selective, fiber-selective, anodal block, neural titration, and kilohertz electrical stimulation block—as well as various stimulation pulse parameters and electrode array geometries. sVNS can significantly reduce the severity of side effects, and in some cases increase efficacy of the treatment. While most studies have focused on fiber-selective sVNS, spatially selective sVNS has demonstrated comparable mitigation of side-effects. It has the potential to achieve greater specificity and provide crucial information about vagal nerve physiology. Anodal block achieves strong side-effect mitigation too, but is much less specific than fiber- and spatially selective paradigms. The major hurdle to achieving better selectivity of VNS is a limited knowledge of functional anatomical organization of vagus nerve. It is also crucial to optimize electrode array geometry and pulse shape, as well as expand the applications of sVNS beyond the current focus on cardiovascular disease.
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39

Bausys, Romualdas, Edmundas Kazimieras Zavadskas, and Artūras Kaklauskas. "APPLICATION OF NEUTROSOPHIC SET TO MULTICRITERIA DECISION MAKING BY COPRAS." January 27, 2016. https://doi.org/10.5281/zenodo.232981.

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The paper presents multicriteria decision making method with single value neutrosophic sets (SVNS), namely COPRAS-SVNS. The complex proportional assessment method (COPRAS) has shown accurate results for the solution of various multicriteria decision making problems in the engineering field.
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40

Romualdas, BAUSYS, Kazimieras ZAVADSKAS Edmundas, and KAKLAUSKAS Artūras. "APPLICATION OF NEUTROSOPHIC SET TO MULTICRITERIA DECISION MAKING BY COPRAS." September 22, 2015. https://doi.org/10.5281/zenodo.1412488.

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The paper presents multicriteria decision making method with single value neutrosophic sets (SVNS), namely COPRAS-SVNS. The complex proportional assessment method (COPRAS) has shown accurate results for the solution of various multicriteria decision making problems in the engineering field. In this paper, a new extension of the crisp COPRAS method has been proposed.
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41

Roan, Ngan Thi, and Florentin Smarandache. "H-Max Single-Valued Neutrosophic Distance Measure in Medical Diagnosis." International Journal of Neutrosophic Science, 2021. http://dx.doi.org/10.54216/ijns.150201.

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As an instance of a neutrosophic set, a single-valued neutrosophic set (SVNS) can be used to handle uncertainty, inaccuracy, indeterminacy, and inconsistency. In this paper, a new not-so-sophisticated distance measure between two SVNSs is defined by considering the cross-assessment between characteristic functions for the forward and backward differences. Furthermore, a single-valued neutrosophic similarity measure, a single-valued neutrosophic entropy measure, and their basic properties are presented and proven. In addition, an application to medical diagnosis is shown to illustrate the effective applicability of the proposals.
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42

Qaisar, Khan, Hassan Nasruddin, and Mahmood Tahir. "Neutrosophic Cubic Power Muirhead Mean Operators with Uncertain Data for Multi-Attribute Decision-Making." May 21, 2019. https://doi.org/10.5281/zenodo.3076718.

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The neutrosophic cubic set (NCS) is a hybrid structure, which consists of interval neutrosophic sets (INS) (associated with the undetermined part of information associated with entropy) and single-valued neutrosophic set (SVNS) (associated with the determined part of information). NCS is a better tool to handle complex decision-making (DM) problems with INS and SVNS.
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43

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 measures between SVNSs, we define a single valued neutrosophic hierarchical clustering algorithm for clustering SVNSs. Then we extend the algorithm to classify an interval neutrosophic data. Finally, we present some numerical examples in order to show the effectiveness and availability of the developed clustering algorithms.
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44

Gang, Li, Niu Chonghuai, and Zhang Chao. "Multi-Criteria Decision Making Approach Using the Fuzzy Measures for Environmental Improvement under Neutrosophic Environment." May 20, 2019. https://doi.org/10.5281/zenodo.3056080.

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The uncertainty, incomplete and inconsistent information can lead to some difficulties of decision making under the single valued neutrosophic set (SVNS) environment. Information measure plays an important role in SVNS theory, which has received more and more attention in recent years. In this study, we develop a multi-attribute decision making (MADM) method based on the single valued neutrosophic information measures.
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45

Ganeshsree, Selvachandran, Gai Quek Shio, Smarandache Florentin, and Broumi Said. "An Extended Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) with Maximizing Deviation Method Based on Integrated Weight Measure for Single-Valued Neutrosophic Sets." June 22, 2018. https://doi.org/10.5281/zenodo.1410135.

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A single-valued neutrosophic set (SVNS) is a special case of a neutrosophic set which is characterized by a truth, indeterminacy, and falsity membership function, each of which lies in the standard interval of [0, 1]. This paper presents a modified Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) with maximizing deviation method based on the single-valued neutrosophic set (SVNS) model.
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46

Rıdvan, Sahin, and Piede Liu. "Correlation coefficient of single-valued neutrosophic hesitant fuzzy sets and its applications in decision making." June 7, 2016. https://doi.org/10.5281/zenodo.235413.

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As a combination of the hesitant fuzzy set (HFS) and the single-valued neutrosophic set (SVNS), the single-valued neutrosophic hesitant fuzzy set (SVNHFS) is an important concept to handle uncertain and vague information existing in real life, which consists of three membership functions including hesitancy, as the truthhesitancy membership function, the indeterminacy-hesitancy membership function and the falsity-hesitancy membership function, and encompasses the fuzzy set, intuitionistic fuzzy set (IFS), HFS, dual hesitant fuzzy set (DHFS) and SVNS.
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47

Rıdvan, Sahin, and Liu Peide. "Correlation coefficient of single-valued neutrosophic hesitant fuzzy sets and its applications in decision making." January 10, 2016. https://doi.org/10.5281/zenodo.1412550.

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As a combination of the hesitant fuzzy set (HFS) and the single-valued neutrosophic set (SVNS), the single-valued neutrosophic hesitant fuzzy set (SVNHFS) is an important concept to handle uncertain and vague information existing in real life, which consists of three membership functions including hesitancy, as the truthhesitancy membership function, the indeterminacy-hesitancy membership function and the falsity-hesitancy membership function, and encompasses the fuzzy set, intuitionistic fuzzy set (IFS), HFS, dual hesitant fuzzy set (DHFS) and SVNS.
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48

Holt, Susan L., Mary Farrell, and Richard H. Corrigan. "Developing the SVN CLEI: A Novel Psychometric Instrument for Evaluating the Clinical Learning Environment of Student Veterinary Nurses in the UK." Journal of Veterinary Medical Education, January 25, 2022. http://dx.doi.org/10.3138/jvme-2021-0136.

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Student veterinary nurses (SVNs) in the United Kingdom can spend over half their training time within the clinical learning environment (CLE) of a training veterinary practice before achieving clinical competency. Sociocultural complexities and poor management within the CLE may have a significant impact on the learning experiences of SVNs, as has been found in studies involving student human nurses. The aim of this research was to develop and validate the SVN CLE Inventory (CLEI) using principal component analysis (PCA), via a cross-sectional design, based on inventories already established in human nursing CLEs. The SVN CLEI was distributed to SVNs via an online survey over a 3-month period, generating 271 responses. PCA resulted in a valid and reliable SVN CLEI with 25 items across three factors with a total variance explained of 61.004% and an overall Cronbach’s alpha (α) of .953 (factor 1: clinical supervisor support of learning [α = .935]; factor 2: pedagogical atmosphere of the practice [α = .924]; factor 3: opportunities for engagement [α = .698]). Gaining student feedback is a requirement set out by the Royal College of Veterinary Surgeons Standards Framework for Student Veterinary Nurse Education and Training, and the SVN CLEI can be used to complement the current evaluation of the training veterinary practice CLE. This will facilitate development of a more comparable, consistent, and positive experience for SVNs during clinical training in the UK.
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Romualdas, BAUSYS, Kazimieras ZAVADSKAS Edmundas, and KAKLAUSKAS Artūras. "APPLICATION OF NEUTROSOPHIC SET TO MULTICRITERIA DECISION MAKING BY COPRAS." May 20, 2019. https://doi.org/10.5281/zenodo.3048206.

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The paper presents multicriteria decision making method with single value neutrosophic sets (SVNS), namely COPRAS-SVNS. The complex proportional assessment method (COPRAS) has shown accurate results for the solution of various multicriteria decision making problems in the engineering field. In this paper, a new extension of the crisp COPRAS method has been proposed. This extension is developed in the context of single value neutrosophic sets. The information processing flow has been proposed for the solution of the multicriteria decision-making problems.
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50

Surapati, Pramanik, Das Suman, Das Rakhal, and Chandra Tripathy Binod. "Neutrosophic BWM-TOPSIS Strategy under SVNS Environment." July 29, 2023. https://doi.org/10.5281/zenodo.8194759.

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Decision making under an uncertain environment is a critical task. In this article, we develop a Multi Attribute Decision Making (MADM) model using BWM and Neutrosophic-TOPSIS under Single Valued Neutrosophic Set (SVNS) environment. In developed model, BWM is utilized to find the weights of the attributes those are selected by a group of experts, and the Neutrosophic-TOPSIS is utilized to rank the alternatives
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