Relevant bibliographies by topics / Method of neutrosophic factorization

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
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Academic literature on the topic 'Method of neutrosophic factorization'

Author: Grafiati
Published: 5 June 2025
Last updated: 16 July 2025

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Journal articles on the topic "Method of neutrosophic factorization"

1

Ma, Yingcang, Xiaohong Zhang, Xiaofei Yang, and Xin Zhou. "Generalized Neutrosophic Extended Triplet Group." Symmetry 11, no. 3 (2019): 327. http://dx.doi.org/10.3390/sym11030327.

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Neutrosophic extended triplet group is a new algebra structure and is different from the classical group. In this paper, the notion of generalized neutrosophic extended triplet group is proposed and some properties are discussed. In particular, the following conclusions are strictly proved: (1) an algebraic system is a generalized neutrosophic extended triplet group if and only if it is a quasi-completely regular semigroup; (2) an algebraic system is a weak commutative generalized neutrosophic extended triplet group if and only if it is a quasi-Clifford semigroup; (3) for each n ∈ Z + , n ≥ 2
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Witczak, T. "Neutrosophic Borda method." International Journal of Neutrosophic Science 19, no. 1 (2022): 242–49. http://dx.doi.org/10.54216/ijns.190119.

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In this paper we introduce and then study the general concept of neutrosophic Borda method. The idea is to combine Borda count (in one of its most typical versions) with neutrosophic sets (which allow us to deal with uncertainty in a very broad sense). We show the whole algorithm which is then illustrated with some numerical examples. Finally, we discuss several possible extensions of the proposed method. For example, we present neutrosophic approach to the problem of weights.
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Dong, Yongsheng, Hongyan Zhang, Zhonghua Liu, et al. "Neutrosophic Set Transformation Matrix Factorization Based Active Contours for Color Texture Segmentation." IEEE Access 7 (2019): 93887–97. http://dx.doi.org/10.1109/access.2019.2928415.

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Gonul Bilgin, Nazmiye, Dragan Pamučar, and Muhammad Riaz. "Fermatean Neutrosophic Topological Spaces and an Application of Neutrosophic Kano Method." Symmetry 14, no. 11 (2022): 2442. http://dx.doi.org/10.3390/sym14112442.

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The main objective of this paper is to redefine the concept of Fermatean neutrosophic sets as well as to introduce topological structure on Fermatean neutrosophic sets. The idea of Fermatean neutrosophic sets is the hybrid model of Fermatean fuzzy sets and neutrosophic sets to utilize key features of these structures. Topological data analysis for indeterminate and uncertain information is a rapidly developing field. Motivated by this recent trend, the idea of Fermatean neutrosophic topology is proposed, which is an extension of neutrosophic topology and Fermatean fuzzy topology. Some fundamen
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Binti Rosli, Siti Nur Idara, and Mohammad Izat Emir Bin Zulkifly. "A Neutrosophic Approach for B-Spline Curve by Using Interpolation Method." Neutrosophic Systems with Applications 9 (September 8, 2023): 29–40. http://dx.doi.org/10.61356/j.nswa.2023.43.

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This study introduces a B-spline curve interpolation model based on the neutrosophic set technique. To begin, the neutrosophic notion is used to define the neutrosophic control point relation. After that, the neutrosophic control point is combined with the B-spline basis function. Besides, the neutrosophic B-spline curve interpolation model is illustrated using the interpolation method. Furthermore, an example and the methods are shown for creating the right curve.
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Ye, Jun, and Wenhua Cui. "Neutrosophic state feedback design method for SISO neutrosophic linear systems." Cognitive Systems Research 52 (December 2018): 1056–65. http://dx.doi.org/10.1016/j.cogsys.2018.10.006.

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Zhao, Ruirui, Minxia Luo, and Shenggang Li. "Reverse triple I method based on single valued neutrosophic fuzzy inference." Journal of Intelligent & Fuzzy Systems 39, no. 5 (2020): 7071–83. http://dx.doi.org/10.3233/jifs-200265.

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The theory of single valued neutrosophic sets, which is a generalization of intuitionistic fuzzy sets, is more capable of dealing with inconsistent information in practice. In this paper, we propose reverse triple I method under single valued neutrosophic environment. Firstly, we give the definitions of single valued neutrosophic t-representation t-norms and single valued neutrosophic residual implications. Secondly, we develop a formula for calculating single valued neutrosophic residual implications. Then we propose reverse triple I method based on left-continuous single valued neutrosophic
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Aslam and Albassam. "Inspection Plan Based on the Process Capability Index Using the Neutrosophic Statistical Method." Mathematics 7, no. 7 (2019): 631. http://dx.doi.org/10.3390/math7070631.

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The Process Capability Index (PCI) has been widely used in industry to advance the quality of a product. Neutrosophic statistics is the more generalized form of classical statistics and is applied when the data from the production process or a product lot is incomplete, incredible, and indeterminate. In this paper, we will originally propose a variable sampling plan for the PCI using neutrosophic statistics. The neutrosophic operating function will be given. The neutrosophic plan parameters will be determined using the neutrosophic optimization solution. A comparison between plans based on neu
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.., N. Jose Parvin, S. Ghousia Begum, A. Rajkumar, D. Nagarajan, and Broumi Said. "Nonagonal Neutrosophic Number and its Application in Optimization Technique." International Journal of Neutrosophic Science 19, no. 2 (2022): 66–79. http://dx.doi.org/10.54216/ijns.190206.

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This article discusses Nonagonal Neutrosophic number and m-valued Nonagonal Neutrosophic number. The score function, the accuracy function, hamming distance, normalized hamming distance, Euclidean distance and normalized Euclidean distance of Nonagonal and m-polar Nonagonal Neutrosophic number are derived. Some de-neutrosophication method for Nonagonal Neutrosophic number and some properties of m-valued Nonagonal Neutrosophic number are proved. In this article the optimal path of an acyclic network is estimated using Neutrosophic α-cut grade, Neutrosophic Euclidean grade technique and dynamic
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Kong, F. N., and Z. P. Li. "Kernel-factorization deconvolution method." IEEE Transactions on Acoustics, Speech, and Signal Processing 38, no. 1 (1990): 166–68. http://dx.doi.org/10.1109/29.45632.

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Dissertations / Theses on the topic "Method of neutrosophic factorization"

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Shan, Juan. "A Fully Automatic Segmentation Method for Breast Ultrasound Images." DigitalCommons@USU, 2011. https://digitalcommons.usu.edu/etd/905.

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Breast cancer is the second leading cause of death of women worldwide. Accurate lesion boundary detection is important for breast cancer diagnosis. Since many crucial features for discriminating benign and malignant lesions are based on the contour, shape, and texture of the lesion, an accurate segmentation method is essential for a successful diagnosis. Ultrasound is an effective screening tool and primarily useful for differentiating benign and malignant lesions. However, due to inherent speckle noise and low contrast of breast ultrasound imaging, automatic lesion segmentation is still a cha
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Suaysom, Natchanon. "Iterative Matrix Factorization Method for Social Media Data Location Prediction." Scholarship @ Claremont, 2018. http://scholarship.claremont.edu/hmc_theses/96.

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Since some of the location of where the users posted their tweets collected by social media company have varied accuracy, and some are missing. We want to use those tweets with highest accuracy to help fill in the data of those tweets with incomplete information. To test our algorithm, we used the sets of social media data from a city, we separated them into training sets, where we know all the information, and the testing sets, where we intentionally pretend to not know the location. One prediction method that was used in (Dukler, Han and Wang, 2016) requires appending one-hot encoding of the
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Bucic, Ida. "Pollard's rho method." Thesis, Linnéuniversitetet, Institutionen för matematik (MA), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-85886.

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In this work we are going to investigate a factorization method that was invented by John Pollard. It makes possible to factorize medium large integers into a product of prime numbers. We will run a C++ program and test how do different parameters affect the results. There will be a connection drawn between the Pollard's rho method, the Birthday paradox and the Floyd's cycle finding algorithm. In results we will find a polynomial function that has the best effectiveness and performance for Pollard's rho method.
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Bondarenko, Oleksandr [Verfasser], and A. [Akademischer Betreuer] Kirsch. "The Factorization Method for Conducting Transmission Conditions / Oleksandr Bondarenko. Betreuer: A. Kirsch." Karlsruhe : KIT-Bibliothek, 2016. http://d-nb.info/1102250279/34.

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Onay, Oguz Kaan. "Approximate Factorization Using Acdi Method On Hybrid Grids And Parallelization Of The Scheme." Master's thesis, METU, 2013. http://etd.lib.metu.edu.tr/upload/12615589/index.pdf.

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In this thesis study, a fast implicit iteration scheme called Alternating Cell Directions Imp licit method is combined with Approximate Factorization scheme. This application aims to offer a mathematically well defined version of the Alternating Cell Directions Implicit Method and increase the accuracy of the iteration scheme that is being used for the numerical solutions of the partial differential equations. The iteration scheme presented here is tested using unsteady diffusion equation, Laplace equation and advection-diffusion equation. The accuracy, convergence character and the sta
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Heumann, Sven [Verfasser], and A. [Akademischer Betreuer] Kirsch. "The Factorization Method for Inverse Scattering from Chiral Media / Sven Heumann. Betreuer: A. Kirsch." Karlsruhe : KIT-Bibliothek, 2012. http://d-nb.info/1020663529/34.

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Groetzner, Patrick Hermann [Verfasser], and Mirjam [Akademischer Betreuer] Dür. "A Method for Completely Positive and Nonnegative Matrix Factorization / Patrick Hermann Groetzner ; Betreuer: Mirjam Dür." Trier : Universität Trier, 2018. http://d-nb.info/1197807918/34.

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Groetzner, Patrick [Verfasser], and Mirjam [Akademischer Betreuer] Dür. "A Method for Completely Positive and Nonnegative Matrix Factorization / Patrick Hermann Groetzner ; Betreuer: Mirjam Dür." Trier : Universität Trier, 2018. http://d-nb.info/1197807918/34.

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Jocas, Aivaras. "Kraštinio uždavinio paprastajai antros eilės diferencialinei lygčiai suvedimas į integralinę lygtį." Bachelor's thesis, Lithuanian Academic Libraries Network (LABT), 2012. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120702_123832-53027.

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Baigiamajame darbe nagrinėjama paprastoji antros eilės diferencialinė lygtis. Jos sprendinių gavimui ir analizei naudojamas faktorizacijos metodas – ieškomosios funkcijos skaidymas dauginamaisiais bei kiti tradiciniai paprastųjų diferencialinių lygčių sprendimo metodai: nepriklausomo kintamojo keitimo metodas, konstantų varijavimo metodas.<br>In this work is analyzed second-order differential equation. I use factorization method and other traditional ordinary differential equations approaches as an example: independent variable exchange method, variation of constants method and direct integrat
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Wang, Feng. "Development of A Fast Converging Hybrid Method for Analyzing Three-Dimensional Doubly Periodic Structures." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1376923791.

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Books on the topic "Method of neutrosophic factorization"

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Dong, Shi-Hai. Factorization Method in Quantum Mechanics. Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-5796-0.

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1942-, Bart H., ed. Factorization of matrix and operator functions: The state space method. Birkhäuser, 2008.

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Camporesi, Roberto. An Introduction to Linear Ordinary Differential Equations Using the Impulsive Response Method and Factorization. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49667-2.

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United States. National Aeronautics and Space Administration., ed. Improvements in block-Krylov Ritz vectors and the boundary flexibility method of component synthesis. Dept. of Civil Engineering, Case Western Reserve University, 1997.

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United States. National Aeronautics and Space Administration., ed. Improvements in block-Krylov Ritz vectors and the boundary flexibility method of component synthesis. Dept. of Civil Engineering, Case Western Reserve University, 1997.

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United States. National Aeronautics and Space Administration., ed. Improvements in block-Krylov Ritz vectors and the boundary flexibility method of component synthesis. Dept. of Civil Engineering, Case Western Reserve University, 1997.

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United States. National Aeronautics and Space Administration., ed. Improvements in block-Krylov Ritz vectors and the boundary flexibility method of component synthesis. Dept. of Civil Engineering, Case Western Reserve University, 1997.

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Schlick, Tamar. Implementation of the Schnabel & Eskow modified Cholesky factorization in the context of a truncated-Newton optimization method. Courant Institute of Mathematical Sciences, New York University, 1990.

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F, Knight Norman, Davis D. Dale, United States. Army Aviation Research and Technology Activity., and Langley Research Center, eds. High-performance equation solvers and their impact on finite element analysis. National Aeronautics and Space Administration, Langley Research Center, 1990.

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Pan, Victor. A fast, preconditioned conjugate gradient Toeplitz solver. Research Institute for Advanced Computer Science, NASA Ames Research Center, 1989.

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Book chapters on the topic "Method of neutrosophic factorization"

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Şahin, Rıdvan. "COPRAS Method with Neutrosophic Sets." In Fuzzy Multi-criteria Decision-Making Using Neutrosophic Sets. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00045-5_19.

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Maros, István. "Basis Inverse, Factorization." In Computational Techniques of the Simplex Method. Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0257-9_8.

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Sakhnovich, Lev A. "Continual Factorization." In Spectral Theory of Canonical Differential Systems. Method of Operator Identities. Birkhäuser Basel, 1999. http://dx.doi.org/10.1007/978-3-0348-8713-7_4.

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Notay, Yvan. "A new approximate factorization method." In Incomplete Decomposition (ILU) — Algorithms, Theory, and Applications. Vieweg+Teubner Verlag, 1993. http://dx.doi.org/10.1007/978-3-322-85732-3_11.

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PAN, Ping-Qi. "Face Method with LU Factorization." In Linear Programming Computation. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-0147-8_23.

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PAN, Ping-Qi. "Face Method with Cholesky Factorization." In Linear Programming Computation. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-0147-8_21.

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Lechleiter, Armin. "Factorization Method in Inverse Scattering." In Encyclopedia of Applied and Computational Mathematics. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-540-70529-1_17.

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Eidelman, Yuli, Israel Gohberg, and Iulian Haimovici. "The QR-Factorization Based Method." In Separable Type Representations of Matrices and Fast Algorithms. Springer Basel, 2013. http://dx.doi.org/10.1007/978-3-0348-0606-0_20.

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Eidelman, Yuli, Israel Gohberg, and Iulian Haimovici. "The Factorization Based Implicit Method." In Separable Type Representations of Matrices and Fast Algorithms. Springer Basel, 2013. http://dx.doi.org/10.1007/978-3-0348-0612-1_15.

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Pan, Zhizhong, and Xiao Li. "A Method of Integer Factorization." In Communications in Computer and Information Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90553-8_5.

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Conference papers on the topic "Method of neutrosophic factorization"

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Reda, Dhilal M., and Sattar B. Sadkhan. "Cryptanalysis of RSA Based on Parallel Factorization Method." In 2024 10th International Engineering Conference on Advances in Computer and Civil Engineering (IEC). IEEE, 2024. https://doi.org/10.1109/iec61018.2024.11064305.

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Park, Kunwoo, Ikbeom Lee, and Sunk Yu. "Inverse Design Method of Hyperuniform Materials Using System Factorization." In 2024 Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR). IEEE, 2024. http://dx.doi.org/10.1109/cleo-pr60912.2024.10676648.

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Bolturk, Eda, and Ali Karasan. "Interval valued neutrosophic CODAS method for renewable energy selection." In Conference on Data Science and Knowledge Engineering for Sensing Decision Support (FLINS 2018). WORLD SCIENTIFIC, 2018. http://dx.doi.org/10.1142/9789813273238_0130.

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Lalitha, K., and S. Sarguna. "A New CODAS-SORT Method On Neutrosophic Soft Matrix." In 2023 First International Conference on Advances in Electrical, Electronics and Computational Intelligence (ICAEECI). IEEE, 2023. http://dx.doi.org/10.1109/icaeeci58247.2023.10370855.

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Aarthi, D., A. Panimalar, and S. Santhoshkumar. "An automated method for detecting tumor by Neutrosophic set." In FOURTH INTERNATIONAL CONFERENCE ON ADVANCES IN PHYSICAL SCIENCES AND MATERIALS: ICAPSM 2023. AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0216042.

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Faraji, Mohammad Reza, and Xiaojun Qi. "An effective neutrosophic set-based preprocessing method for face recognition." In 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW). IEEE, 2013. http://dx.doi.org/10.1109/icmew.2013.6618251.

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Aydin, Serhat, and Mehmet Yörükoğlu. "Ground handling services firm evaluation based on neutrosophic MULTIMOORA method." In Conference on Data Science and Knowledge Engineering for Sensing Decision Support (FLINS 2018). WORLD SCIENTIFIC, 2018. http://dx.doi.org/10.1142/9789813273238_0133.

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Broumi, Said, Mohamed Talea, Florentin Smarandache, and Assia Bakali. "Decision-making method based on the interval valued neutrosophic graph." In 2016 Future Technologies Conference (FTC). IEEE, 2016. http://dx.doi.org/10.1109/ftc.2016.7821588.

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Yorukoglu, Mehmet, and Serhat Aydin. "Evaluation of Space Debris Mitigation Measures by Neutrosophic MULTIMOORA Method." In 2019 9th International Conference on Recent Advances in Space Technologies (RAST). IEEE, 2019. http://dx.doi.org/10.1109/rast.2019.8767853.

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Nagarajan, D., T. Tamizhi, M. Lathamaheswari, and J. Kavikumar. "Traffic control management using Gauss Jordan method under neutrosophic environment." In THE 11TH NATIONAL CONFERENCE ON MATHEMATICAL TECHNIQUES AND APPLICATIONS. AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5112245.

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Reports on the topic "Method of neutrosophic factorization"

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Costeira, Joao, and Takeo Kanade. A Multi-Body Factorization Method for Motion Analysis,. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada295489.

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Morita, Toshihiko, and Takeo Kanade. A Sequential Factorization Method for Recovering Shape and Motion from Image Streams. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada281253.

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Xu, Yangyang, and Wotao Yin. A Block Coordinate Descent Method for Multi-Convex Optimization with Applications to Nonnegative Tensor Factorization and Completion. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada567404.

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Mohammadian, Abolfazl, Mohammad Miralinaghi, Alireza Talebpour, Sajad Askari, and Sanaz Kazemzadehazad. State Department of Transportation Support for Operationalizing Transit Signal Priority. Illinois Center for Transportation, 2025. https://doi.org/10.36501/0197-9191/25-005.

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Transit signal priority (TSP) systems have become an integral part of regional intelligent transportation systems integration. They modify signal operations to facilitate faster transit through intersections, improve transit service reliability, reduce delays, and enhance overall transit operational efficiency. Agencies are planning and implementing next-generation TSP systems. However, multifaceted challenges complicate TSP implementation, particularly in urban regions with high traffic density and multiple stakeholders. Exploring these challenges can help develop more efficient deployment st
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