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Relevant bibliographies by topics / Neutrosophic entropy

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Academic literature on the topic 'Neutrosophic entropy'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Neutrosophic entropy"

1

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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Cui, Wen-Hua, and Jun Ye. "Generalized Distance-Based Entropy and Dimension Root Entropy for Simplified Neutrosophic Sets." Entropy 20, no. 11 (2018): 844. http://dx.doi.org/10.3390/e20110844.

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In order to quantify the fuzziness in the simplified neutrosophic setting, this paper proposes a generalized distance-based entropy measure and a dimension root entropy measure of simplified neutrosophic sets (NSs) (containing interval-valued and single-valued NSs) and verifies their properties. Then, comparison with the existing relative interval-valued NS entropy measures through a numerical example is carried out to demonstrate the feasibility and rationality of the presented generalized distance-based entropy and dimension root entropy measures of simplified NSs. Lastly, a decision-making

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Kandasamy, Ilanthenral, and Florentin Smarandache. "Multicriteria Decision Making Using Double Refined Indeterminacy Neutrosophic Cross Entropy and Indeterminacy Based Cross Entropy." Applied Mechanics and Materials 859 (December 2016): 129–43. http://dx.doi.org/10.4028/www.scientific.net/amm.859.129.

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Double Refined Indeterminacy Neutrosophic Set (DRINS) is an inclusive case of the refined neutrosophic set, defined by Smarandache (2013), which provides the additional possibility to represent with sensitivity and accuracy the uncertain, imprecise, incomplete, and inconsistent information which are available in real world. More precision is provided in handling indeterminacy; by classifying indeterminacy (I) into two, based on membership; as indeterminacy leaning towards truth membership (IT) and indeterminacy leaning towards false membership (IF). This kind of classification of indeterminacy

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4

Abu Qamar, Majdoleen, and Nasruddin Hassan. "Entropy, Measures of Distance and Similarity of Q-Neutrosophic Soft Sets and Some Applications." Entropy 20, no. 9 (2018): 672. http://dx.doi.org/10.3390/e20090672.

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The idea of the Q-neutrosophic soft set emerges from the neutrosophic soft set by upgrading the membership functions to a two-dimensional entity which indicate uncertainty, indeterminacy and falsity. Hence, it is able to deal with two-dimensional inconsistent, imprecise, and indeterminate information appearing in real life situations. In this study, the tools that measure the similarity, distance and the degree of fuzziness of Q-neutrosophic soft sets are presented. The definitions of distance, similarity and measures of entropy are introduced. Some formulas for Q-neutrosophic soft entropy wer

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Tan, Ruipu, Wende Zhang, and Shengqun Chen. "Some Generalized Single Valued Neutrosophic Linguistic Operators and Their Application to Multiple Attribute Group Decision Making." Journal of Systems Science and Information 5, no. 2 (2017): 148–62. http://dx.doi.org/10.21078/jssi-2017-148-15.

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Abstract This paper proposes a group decision making method based on entropy of neutrosophic linguistic sets and generalized single valued neutrosophic linguistic operators. This method is applied to solve the multiple attribute group decision making problems under single valued neutrosophic liguistic environment, in which the attribute weights are completely unknown. First, the attribute weights are obtained by using the entropy of neutrosophic linguistic sets. Then three generalized single valued neutrosophic linguistic operators are introduced, including the generalized single valued neutro

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Mourad, Nahia. "Assessment of Structural Cracks in Aircraft Using a Decision-Making Approach Based on Enhanced Entropy and Single-Valued Neutrosophic Sets." International Journal of Neutrosophic Science 19, no. 04 (2022): 49–57. http://dx.doi.org/10.54216/ijns.190404.

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Structural health monitoring (SHM) tries to determine the status of substances, elements, and the life expectancy of any aircraft building. It also serves as a vital tool for ensuring the structural integrity and safety of the aircraft. This research used a neutrosophic-Entropy model to assess the structural cracks in the reinforced concrete aircraft to evaluate its structural performance. For example, Entropy may be used in the civil engineering profession to pick subcontractors, manage traffic, and monitor the structural integrity of a structure, among other things. SHM in reinforced concret

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Bian, Xiaofei, Haiwei Pan, Kejia Zhang, Chunling Chen, Peng Liu, and Kun Shi. "NeDSeM: Neutrosophy Domain-Based Segmentation Method for Malignant Melanoma Images." Entropy 24, no. 6 (2022): 783. http://dx.doi.org/10.3390/e24060783.

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Skin lesion segmentation is the first and indispensable step of malignant melanoma recognition and diagnosis. At present, most of the existing skin lesions segmentation techniques often used traditional methods like optimum thresholding, etc., and deep learning methods like U-net, etc. However, the edges of skin lesions in malignant melanoma images are gradually changed in color, and this change is nonlinear. The existing methods can not effectively distinguish banded edges between lesion areas and healthy skin areas well. Aiming at the uncertainty and fuzziness of banded edges, the neutrosoph

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R., Sarannya Kumari, Sunny Joseph Kalayathankal, Mathews M. George, and Florentin Smarandache. "An Entropy Measure for n-Cylindrical Fuzzy Neutrosophic Sets." Neutrosophic Optimization and Intelligent Systems 3 (May 5, 2024): 23–31. http://dx.doi.org/10.61356/j.nois.2024.3220.

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n-Cylindrical fuzzy neutrosophic set (n-CyFNS) is a new variant of fuzzy neutrosophic sets. In this paper, our aim is to introduce an entropy measure for n-CyFNS. Here, we explained its properties along with examples. Two real life applications, one on better way of shopping and the second on teacher evaluation, based on this proposed entropy measure are also illustrated.

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CHENG, H. D., and YANHUI GUO. "A NEW NEUTROSOPHIC APPROACH TO IMAGE THRESHOLDING." New Mathematics and Natural Computation 04, no. 03 (2008): 291–308. http://dx.doi.org/10.1142/s1793005708001082.

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A neutrosophic set (Ns), a part of neutrosophy theory, studies the origin, nature, and scope of neutralities, as well as their interactions with different ideational spectra. The neutrosophic set is a powerful general formal framework that has been recently proposed. However, the neutrosophic set needs to be specified from a technical point of view. We apply the neutrosophic set in image domain and define some concepts and operations for image thresholding. The image G is transformed into Ns domain, which is described using three subsets T, I and F. The entropy in neutrosophic set is defined a

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GUO, YANHUI, H. D. CHENG, and YINGTAO ZHANG. "A NEW NEUTROSOPHIC APPROACH TO IMAGE DENOISING." New Mathematics and Natural Computation 05, no. 03 (2009): 653–62. http://dx.doi.org/10.1142/s1793005709001490.

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A neutrosophic set (NS), a part of neutrosophy theory, studies the origin, nature, and scope of neutralities, as well as their interactions with different ideational spectra. The neutrosophic set is a general formal framework that has been recently proposed. However, the neutrosophic set needs to be specified from a technical point of view. Now, we apply the neutrosophic set into image domain and define some concepts and operators for image denoising. The image G is transformed into NS domain, which is described using three membership sets: T, I and F. The entropy of the neutrosophic set is de

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Book chapters on the topic "Neutrosophic entropy"

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Mohanasundari, M., and K. Mohana. "Multicriteria Decision-Making Based on Quadripartitioned Neutrosophic Cross-Entropy." In Neutrosophic Operational Research. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-57197-9_2.

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Mallick, Rama, and Surapati Pramanik. "TrNN- EDAS Strategy for MADM with Entropy Weight Under Trapezoidal Neutrosophic Number Environment." In Neutrosophic Operational Research. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-57197-9_26.

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Duong, Truong Thi Thuy, Nguyen Xuan Thao, and Florentin Smarandache. "New Entropy, Similarity Measures of Interval-Valued Neutrosophic Sets, and Application in Supplier Selection." In Neutrosophic Operational Research. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-57197-9_3.

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Bhutani, Kanika, and Swati Aggarwal. "A Novel Approach for Data Classification Using Neutrosophic Entropy." In System and Architecture. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8533-8_29.

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Singh, Pritpal. "Parkinson’s Disease MRIs Analysis Using Neutrosophic-Entropy Segmentation Approach." In Biomedical Image Analysis. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-9939-2_3.

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Singh, Pritpal. "Parkinson’s Disease MRIs Analysis Using Neutrosophic-Entropy Clustering Approach." In Biomedical Image Analysis. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-9939-2_4.

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Basumatary, Sangeeta, Bhimraj Basumatary, and Nijwm Wary. "A Study on Entropy Based Neutrosophic Multicriteria Decision Making." In Studies in Fuzziness and Soft Computing. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-78505-4_8.

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Anitha, S., and A. Francina Shalini. "Entropy and Distance Measures of Bipolar Pythagorean Neutrosophic Soft Set." In Engineering, Science, and Sustainability. CRC Press, 2023. http://dx.doi.org/10.4324/9781003388982-37.

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Gül, Sait. "Usage of Entropy-Based Objective Weighting in Neutrosophic Multiple Attribute Decision-Making." In Contributions to Management Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-52406-7_13.

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Nand, Sachchida, Manvandra K. Singh, and C. M. Krishna. "Optimization of CNC Milling Parameters for Al-CNT Composites Using an Entropy-Based Neutrosophic Grey Relational TOPSIS Method." In Evolutionary Optimization of Material Removal Processes. CRC Press, 2022. http://dx.doi.org/10.1201/9781003258421-9.

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Conference papers on the topic "Neutrosophic entropy"

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Jayaprakash, Poornima, and Sandhiya Sundar. "Entropy based multi criteria decision making approach under neutrosophic environment." In MATHEMATICS AND ITS APPLICATIONS IN TECHNOLOGY. AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0224506.

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Bhalla, Kanika, and Yo-Ping Huang. "A Modified Singular Value Decomposition Kernelized Neutrosophic Entropy Method for TFT-LCD Panel Defect Segmentation." In 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2022. http://dx.doi.org/10.1109/smc53654.2022.9945576.

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Ji, Pu, and Hong-yu Zhang. "A subsethood measure with the hausdorff distance for interval neutrosophic sets and its relations with similarity and entropy measures." In 2016 Chinese Control and Decision Conference (CCDC). IEEE, 2016. http://dx.doi.org/10.1109/ccdc.2016.7531710.

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Zhang, Hong, Lingfei Han, Qing Zhang, Boyuan Xue, Qiang Zhi, and Yingyue Ning. "Fuzzy Clustering Edge Detection Method via neutrosophy based on Norm Entropy." In 2019 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2019. http://dx.doi.org/10.1109/ssci44817.2019.9002728.

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