Academic literature on the topic 'Fuzzy - structure space'

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Journal articles on the topic "Fuzzy - structure space"

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Wu, Xiu-Yun, Chun-Yan Liao, and Yan-Hui Zhao. "L-topological derived neighborhood relations and L-topological derived remotehood relations." Filomat 36, no. 5 (2022): 1433–50. http://dx.doi.org/10.2298/fil2205433w.

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Fuzzy relations and fuzzy derived operators are useful tools to characterize fuzzy mathematical structures such as fuzzy topology, fuzzy convexity, fuzzy matroid and fuzzy convergence structure. In this paper, notions of L-topological neighborhood relation space, L-topological derived neighborhood relation space and L-topological derived neighborhood space are introduced. It is proved that all of these spaces are categorically isomorphic to L-topological internal relation space and L-topological neighborhood space. Also, notions of L-topological remotehood relation space, L-topological derived
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Madhuri, V., Omar Bazighifan, Ali Hasan Ali, and A. El-Mesady. "On Fuzzy F ∗ -Simply Connected Spaces in Fuzzy F ∗ -Homotopy." Journal of Function Spaces 2022 (April 28, 2022): 1–6. http://dx.doi.org/10.1155/2022/9926963.

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In this paper, the notions of fuzzy F ∗ -simply connected spaces and fuzzy F ∗ -structure homeomorphisms are introduced, and further fuzzy F ∗ -structure homeomorphism between fuzzy F ∗ -path-connected spaces are studied. Also, it is shown that every fuzzy F ∗ -structure subspace of fuzzy F ∗ -simply connected space is fuzzy F ∗ -simply connected subspace. Further, the concepts of fuzzy F ∗ -contractible spaces and fuzzy F ∗ -retracts are introduced, and it is proved that every fuzzy F ∗ -contractible space is fuzzy F ∗ -simply connected.
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Pazar Varol, Banu Pazar, and Hami Malkoç. "Bipolar Fuzzy Supra Topology via (Q-) Neighborhood and Its Application in Data Mining Process." Symmetry 16, no. 2 (2024): 216. http://dx.doi.org/10.3390/sym16020216.

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The aim of this study is to provide neighborhood structures in bipolar fuzzy supra topological space and to show the applicability of bipolar fuzzy supra topology to the medical diagnosis problem. Firstly, we give some properties related to bipolar fuzzy points and their neighborhood structure in bipolar fuzzy supra topological spaces. Then, we consider another important structure, “quasi-coincident,” in the case of bipolar fuzzy points and bipolar fuzzy sets. Then, we introduce the corresponding neighborhood structure called “Q-neighborhood system” by using the quasi-coincident relations. Fur
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Zhang, Qinghua, and Guoyin Wang. "The Uncertainty Measure of Hierarchical Quotient Space Structure." Mathematical Problems in Engineering 2011 (2011): 1–16. http://dx.doi.org/10.1155/2011/513195.

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In the application of fuzzy reasoning, researchers usually choose the membership function optionally in some degree. Even though the membership functions may be different for the same concept, they can generally get the same (or approximate) results. The robustness of the membership function optionally chosen has brought many researchers' attention. At present, many researchers pay attention to the structural interpretation (definition) of a fuzzy concept, and find that a hierarchical quotient space structure may be a better tool than a fuzzy set for characterizing the essential of fuzzy conce
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Hashem, Khaled A., and Nehad N. Morsi. "FuzzyTL-uniform spaces." International Journal of Mathematics and Mathematical Sciences 2006 (2006): 1–24. http://dx.doi.org/10.1155/ijmms/2006/25094.

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The main purpose of this paper is to introduce a new structure that is a fuzzyTL-uniform space. We show that our structure generates a fuzzy topological space, precisely, a fuzzyT-locality space. Also, we deduce the concept of level uniformities of a fuzzyTL-uniformity. We connect the category of fuzzyTL-uniform spaces with the category of uniform spaces. We establish a necessary and sufficient condition, under which a fuzzyTL-uniformity is probabilistic pseudometrizable. Finally, we define a functor from the category of fuzzyTL-uniform spaces into the category of fuzzyT-locality spaces and we
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BALACHANDRAN, A. P., and S. KÜRKÇÜOǦLU. "TOPOLOGY CHANGE FOR FUZZY PHYSICS: FUZZY SPACES AS HOPF ALGEBRAS." International Journal of Modern Physics A 19, no. 20 (2004): 3395–407. http://dx.doi.org/10.1142/s0217751x04019810.

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Fuzzy spaces are obtained by quantizing adjoint orbits of compact semi-simple Lie groups. Fuzzy spheres emerge from quantizing S2and are associated with the group SU (2) in this manner. They are useful for regularizing quantum field theories and modeling space–times by noncommutative manifolds. We show that fuzzy spaces are Hopf algebras and in fact have more structure than the latter. They are thus candidates for quantum symmetries. Using their generalized Hopf algebraic structures, we can also model processes where one fuzzy space splits into several fuzzy spaces. For example we can discuss
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Vasuky, M., and A. Uma. "Convex Fuzzy Soft Metric Space." Shanlax International Journal of Arts, Science and Humanities 7, no. 3 (2020): 78–82. http://dx.doi.org/10.34293/sijash.v7i3.1434.

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In this paper, we investigate the concept of fuzzy soft metric space in terms of fuzzy soft points. The convex structure of fuzzy soft metric spaces is defined and we introduce the convex fuzzy soft metric space. Also we established the fixed point theorem of convex fuzzy soft metric space.
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Abd-Allah, Ahmed Saeed. "Characterized Fuzzy R2.5 and Characterized Fuzzy T3.5 Spaces." JOURNAL OF ADVANCES IN MATHEMATICS 13, no. 1 (2017): 7048–73. http://dx.doi.org/10.24297/jam.v13i1.5684.

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This paper, deals with, introduce and study the notions of haracterized fuzzy R2.5 spaces and of characterized fuzzy T3.5 spaces by using the notion of fuzzy function family presented in [21] and the notion of φ1,2ψ1,2-fuzzy continuous mappings presented in [5] as a generalization of all the weaker and stronger forms of the fuzzy completely regular spaces introduced in [11,24,26,29]. We denote by characterized fuzzy T3.5 space or characterized fuzzy Tychonoff space to the characterized fuzzy space which is characterized fuzzy T1 and characterized fuzzy R2.5 space in this sense. The relations
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Ali, Mayada Nazar Mohammed, Raghad Ibrahim Sabri, and Fatema Ahmad Sadiq. "A new properties of fuzzy b-metric spaces." Indonesian Journal of Electrical Engineering and Computer Science 26, no. 1 (2022): 221–28. https://doi.org/10.11591/ijeecs.v26.i1.pp221-228.

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Metric spaces are specific types of topological spaces with pleasing “geometric” characteristics and they have a number of appealing properties and are commonly used in both pure and applied sciences. In this work, the structure of cartesian product space in the setting of a fuzzy b-metric space (Fb-M space) framework is introduced, which is an extension allows to create the large-scale structure for the space of the type fuzzy b-metric. The possibility of transferring some of the results and important features related to Fb-M space to this suggested space are discussed and demonst
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Anjaly Jose. "Semi-Invertible Fuzzy Topological Space." Advances in Nonlinear Variational Inequalities 27, no. 3 (2024): 462–71. http://dx.doi.org/10.52783/anvi.v27.1392.

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This paper fuzzifies the concept of semi-invertibility in a topological space, also it portrays the properties of such spaces. The structure of fuzzy semi inverting pairs is brought forward. Additionally, the correlation between semi-invertible and invertible fuzzy topological spaces is investigated. The transfer of fuzzy first category property from a local to a global context within a semi-invertible fuzzy topological space is explored.
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Dissertations / Theses on the topic "Fuzzy - structure space"

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Thomas, Rodney H. "Machine Learning for Exploring State Space Structure in Genetic Regulatory Networks." Diss., NSUWorks, 2018. https://nsuworks.nova.edu/gscis_etd/1053.

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Genetic regulatory networks (GRN) offer a useful model for clinical biology. Specifically, such networks capture interactions among genes, proteins, and other metabolic factors. Unfortunately, it is difficult to understand and predict the behavior of networks that are of realistic size and complexity. In this dissertation, behavior refers to the trajectory of a state, through a series of state transitions over time, to an attractor in the network. This project assumes asynchronous Boolean networks, implying that a state may transition to more than one attractor. The goal of this project is to
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Čambalová, Kateřina. "Volné algebraické struktury a jejich využití pro segmentaci digitálního obrazu." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2015. http://www.nusl.cz/ntk/nusl-231711.

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The thesis covers methods for image segmentation. Fuzzy segmentation is based on the thresholding method. This is generalized to accept multiple criteria. The whole process is mathematically based on the free algebra theory. Free distributive lattice is created from poset of elements based on image properties and the lattice members are represented by terms used by the threshoding. Possible segmentation results compose the equivalence classes distribution. The thesis also contains description of resulting algorithms and methods for their optimization. Also the method of area subtracting is int
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Nagy, John Andrew Stephen. "Use of space by caribou in northern Canada." Phd thesis, 2011. http://hdl.handle.net/10048/1963.

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Understanding how populations are structured and how they use natural and anthropogenic spaces is essential for effective wildlife management. A total of 510 barren-ground (Rangifer tarandus groenlandicus), 176 boreal (R. t. caribou), 11 mountain woodland (R. t. caribou), and 39 island (R. t. groenlandicus x pearyi) caribou were tracked with satellite collars in 1993-2009 in the Northwest Territories, Nunavut, and northern Alberta. Using satellite location data and hierarchical and fuzzy cluster analyses, I verified that Cape Bathurst, Bluenose-West, Bluenose-East, Bathurst, Beverly, Qamanirju
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Ho, Yin-Teh, and 何印得. "Fuzzy Model-Reference Tracking Control of a Cam Suspension System for Ground Testing of Space Structures." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/78595910105727727645.

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碩士<br>國立中正大學<br>機械工程學系<br>85<br>To simulate the motion of the active cam suspension system, we treat the flexible space structure as a lumped model of one linear spring connecting two mass blocks. A model reference fuzzy PD controller is designed to control a DC servo motor which drives the rotation of the cam in such a way that the cam inertial effect is eliminated. In the sensitivity analysis of the cam inertial , we find the sensitivity equation of the cam rotation angle with respect to
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Books on the topic "Fuzzy - structure space"

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Kenol, Jules, and NASA Glenn Research Center, eds. An intelligent system for monitoring the microgravity environment quality on-board the International Space Station. National Aeronautics and Space Administration, Glenn Research Center, 2002.

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Noor, Ahmed Khairy. Computational Intelligence and its Impact on Future High-Performance Engineering Systems: Proceedings of a workshop sponsored by the National Aeronautics and Space Administration, Washington, D.C., and the University of Virginia Center for Computational Structures Technology, Hampton, Virginia, and held at Virginia Consortium of Engineering and Science Universities, Hampton, Virginia, June 27-28, 1995. Langley Research Center, 1996.

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Book chapters on the topic "Fuzzy - structure space"

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Zhang, QianSheng, and ShiHua Luo. "Intuitionistic Fuzzy Reasoning under Quotient Space Structure." In Lecture Notes in Electrical Engineering. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27287-5_38.

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Ben Ayed, Alaidine, Ismaïl Biskri, and Jean-Guy Meunier. "Automatic Text Summarization: A New Hybrid Model Based on Vector Space Modelling, Fuzzy Logic and Rhetorical Structure Analysis." In Computational Collective Intelligence. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28374-2_3.

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García, J. Gutiérrez, M. A. de Prada Vicente, and A. P. Šostak. "A Unified Approach To The Concept Of Fuzzy L-Uniform Space." In Topological and Algebraic Structures in Fuzzy Sets. Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-0231-7_4.

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Pultr, A., and S. E. Rodabaugh. "Lattice-Valued Frames, Functor Categories, And Classes Of Sober Spaces." In Topological and Algebraic Structures in Fuzzy Sets. Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-0231-7_7.

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Kotzé, W. "Lifting Of Sobriety Concepts With Particular Reference To (L, M)-Topological Spaces." In Topological and Algebraic Structures in Fuzzy Sets. Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-0231-7_18.

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Šostak, A. P. "On Some Fuzzy Categories Related To Category L-TOP Of L-Topological Spaces." In Topological and Algebraic Structures in Fuzzy Sets. Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-0231-7_14.

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Močkoř, Jiří. "Functors from Fuzzy Structures Categories into Categories of Fuzzy Topological Spaces with Continuous Fuzzy Relations." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-97225-6_1.

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Tang, Dalai, and Naoyuki Kubot. "Human Localization by Fuzzy Spiking Neural Network Based on Informationally Structured Space." In Neural Information Processing. Theory and Algorithms. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17537-4_4.

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Nguyen, Dong Quan Ngoc, Lin Xing, and Lizhen Lin. "Community Detection, Pattern Recognition, and Hypergraph-Based Learning: Approaches Using Metric Geometry and Persistent Homology." In Fuzzy Systems and Data Mining VI. IOS Press, 2020. http://dx.doi.org/10.3233/faia200724.

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Hypergraph data appear and are hidden in many places in the modern age. They are data structure that can be used to model many real data examples since their structures contain information about higher order relations among data points. One of the main contributions of our paper is to introduce a new topological structure to hypergraph data which bears a resemblance to a usual metric space structure. Using this new topological space structure of hypergraph data, we propose several approaches to study community detection problem, detecting persistent features arising from homological structure
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Puente Jorge, Vela Camino R., and González-Rodríguez Inés. "Fast Local Search for Fuzzy Job Shop Scheduling." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2010. https://doi.org/10.3233/978-1-60750-606-5-739.

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In the sequel, we propose a new neighbourhood structure for local search for the fuzzy job shop scheduling problem. This is a variant of the well-known job shop problem, with uncertainty in task durations modelled using fuzzy numbers and where the goal is to minimise the expected makespan of the resulting schedule. The new neighbourhood structure is based in changing the relative order of subsequences of tasks within critical blocks. We study its theoretical properties and provide a makespan estimate which allows to select only feasible neighbours while covering a greater portion of the search
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Conference papers on the topic "Fuzzy - structure space"

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Mandal, Manasi, and Sarbani Mukherjee Goswami. "Fuzzy structure space of semigroups." In INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2019. AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0026691.

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Pham Huu, Thang, Akira Sone, and Nanako Miura. "GA-Optimized Fuzzy State Space Model of Multi Degree Freedom Structure Under Seismic Excitation." In ASME 2017 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/pvp2017-65334.

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Active structural control has drawn significant attention in recent decades. In this paper, the problem of active vibration control of multi-degree-freedom structures is considered. Fuzzy logic controller combined with the genetic algorithm (GA) is designed to optimize the parameters of active tuned mass damper (ATMD) for the best results in reduction of the building response under earthquake excitation. The advantage of the fuzzy logic approach is the ability to handle the non-linear behavior of the system. Non-linear behavior of the soil is modeled in the dynamics of the structural system wi
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Zhao, Su-Yun, and Lin Si. "Granular structure of interval-valued fuzzy approximation space." In 2011 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2011. http://dx.doi.org/10.1109/icmlc.2011.6016729.

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Yan, S., C. J. Wang, W. Sun, and G. Song. "Damage Status Identification of Piezoelectric Concrete Frame Structure Based on Fuzzy Comprehensive Evaluation." In Earth and Space 2014. American Society of Civil Engineers, 2015. http://dx.doi.org/10.1061/9780784479179.064.

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Yan, S., C. J. Wang, W. Sun, and G. Song. "Damage Status Identification of Piezoelectric Concrete Frame Structure Based on Fuzzy Comprehensive Evaluation." In Earth and Space 2014. American Society of Civil Engineers, 2015. http://dx.doi.org/10.1061/9780784479179.065.

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Shan, Jinjun, Ryan Orszulik, and Piotr Wenderski. "Active Flatness Fuzzy Logic Control of Space Membrane Structure." In AIAA Guidance, Navigation, and Control Conference. American Institute of Aeronautics and Astronautics, 2011. http://dx.doi.org/10.2514/6.2011-6399.

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Zhenzhen Wang and Hancheng Xing. "The measure space structure of logical Markov decision processes." In 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2013. http://dx.doi.org/10.1109/fskd.2013.6816273.

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Whorton, Mark, Ching-Fang Lin, Ping-An Bao, and Sarah Braasch. "Optimized fuzzy logic vibration control of a flexible space structure." In Guidance, Navigation, and Control Conference and Exhibit. American Institute of Aeronautics and Astronautics, 1999. http://dx.doi.org/10.2514/6.1999-4226.

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Rusli, Rosfariedzah, R. Nagarajan, and Muhajir Ab Rahim. "Three-axis fuzzy variable structure control with an application to micro satellite." In 2009 International Conference on Space Science and Communication (IconSpace). IEEE, 2009. http://dx.doi.org/10.1109/iconspace.2009.5352675.

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Matsuzaki, Yuji. "Application of fuzzy control/neural networks to rendezvous simulation of space structure." In First European Conference on Smart Structures and Materials. SPIE, 1992. http://dx.doi.org/10.1117/12.2298083.

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