Literatura académica sobre el tema "FUZZY TECHNIQUE"
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Artículos de revistas sobre el tema "FUZZY TECHNIQUE"
Dey, Aniruddha, Jamuna Kanta Sing y Shiladitya Chowdhury. "Weighted Fuzzy Generalized 2DFLD: A Fuzzy-Based Feature Extraction Technique for Face Recognition". International Journal of Machine Learning and Computing 7, n.º 6 (diciembre de 2017): 223–31. http://dx.doi.org/10.18178/ijmlc.2017.7.6.651.
Texto completoAnsari, Mohd Zeeshan y M. M. Sufyan Beg. "Improved Fuzzy Rank Aggregation". International Journal of Rough Sets and Data Analysis 5, n.º 4 (octubre de 2018): 74–87. http://dx.doi.org/10.4018/ijrsda.2018100105.
Texto completoZhai, Jun-hai. "Fuzzy decision tree based on fuzzy-rough technique". Soft Computing 15, n.º 6 (10 de marzo de 2010): 1087–96. http://dx.doi.org/10.1007/s00500-010-0584-0.
Texto completoS, Pradeep. "Design and FPGA Implementation of Image Compression Based Fuzzy Technique". International Journal of Electrical and Electronics Research 2, n.º 2 (30 de septiembre de 2014): 1–4. http://dx.doi.org/10.37391/ijeer.020201.
Texto completoAhmad, Mohammad y Weihu Cheng. "A Novel Approach of Fuzzy Control Chart with Fuzzy Process Capability Indices Using Alpha Cut Triangular Fuzzy Number". Mathematics 10, n.º 19 (30 de septiembre de 2022): 3572. http://dx.doi.org/10.3390/math10193572.
Texto completoDas, Satya Kumar y Sahidul Islam. "Multi-item a supply chain production inventory model of time dependent production rate and demand rate under space constraint in fuzzy environment". Independent Journal of Management & Production 11, n.º 2 (1 de abril de 2020): 304. http://dx.doi.org/10.14807/ijmp.v11i2.1037.
Texto completoTaleshian, Fatemeh y Jafar Fathali. "A Mathematical Model for Fuzzyp-Median Problem with Fuzzy Weights and Variables". Advances in Operations Research 2016 (2016): 1–13. http://dx.doi.org/10.1155/2016/7590492.
Texto completoM. Mousa, Hamdy. "Chaotic Genetic-fuzzy Encryption Technique". International Journal of Computer Network and Information Security 10, n.º 4 (8 de abril de 2018): 10–19. http://dx.doi.org/10.5815/ijcnis.2018.04.02.
Texto completoSinha, S. B., K. A. Rao, B. K. Mangaraj y P. K. Tripathy. "Fuzzy Technique to Agricultural Planning". Journal of Information and Optimization Sciences 10, n.º 1 (enero de 1989): 257–74. http://dx.doi.org/10.1080/02522667.1989.10698965.
Texto completoCai, Yuliang, Huaguang Zhang, Qiang He y Shaoxin Sun. "New classification technique: fuzzy oblique decision tree". Transactions of the Institute of Measurement and Control 41, n.º 8 (11 de junio de 2018): 2185–95. http://dx.doi.org/10.1177/0142331218774614.
Texto completoTesis sobre el tema "FUZZY TECHNIQUE"
Aranibar, Luis Alfonso Quiroga. "Learning fuzzy logic from examples". Ohio : Ohio University, 1994. http://www.ohiolink.edu/etd/view.cgi?ohiou1176495652.
Texto completoZhao, Mansuo. "Image Thresholding Technique Based On Fuzzy Partition And Entropy Maximization". University of Sydney. School of Electrical and Information Engineering, 2005. http://hdl.handle.net/2123/699.
Texto completoZhao, Mansuo. "Image Thresholding Technique Based On Fuzzy Partition And Entropy Maximization". Thesis, The University of Sydney, 2004. http://hdl.handle.net/2123/699.
Texto completoMuthu, Kavitha. "Expert system and fuzzy technique approaches to landslide hazard mapping". Thesis, University of Surrey, 2005. http://epubs.surrey.ac.uk/722/.
Texto completoYan, Yongyi. "Fuzzy modus ponens deduction technique for activity analysis in network planning". Thesis, Queensland University of Technology, 1998. https://eprints.qut.edu.au/36075/1/36075_Yan_1998.pdf.
Texto completoZhao, Jibo. "An Efficient Wide-Speed Direct Torque Control Based on Fuzzy Logic Technique". University of Toledo / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1352922315.
Texto completoChen, Zhibin. "Segmentation of MRI images using non parametric deformable models integrating fuzzy technique". Reims, 2009. http://theses.univ-reims.fr/exl-doc/GED00001122.pdf.
Texto completoThe research goal of this thesis is to develop an automatic segmentation method to segment brain MRI images into different tissues (gray matter, white matter, and cerebrospinal fluid), providing quantitative and precise brain measurements. In this dissertation, we have developed three non-parametric deformable models integrating statistical information and fuzzy information of images to segment the brain into different tissue types from multi types of MRI images. We firstly present a histogram analysis based algorithm, where the intensity distribution of the MRI images is modeled via the mixture Gaussian model (MGM). The parameters of components in MGM are estimated via the Expectation Maximization (EM) algorithm. Then the estimated parameters are used to guide the evolution of the level set curves to achieve the brain tissue segmentation. We then propose an improved algorithm to region-based geometric active contour. Thanks to the new regional term, the new algorithm solves the underlying stability problem associated with the original algorithm, and achieves convergence with less iteration number compared with the original algorithm. Finally, we present a multiclass algorithm by integrating fuzzy segmentation with the level set methods. The algorithm uses a set of ordinary differential equations; each of them represents a class to be segmented. The multiclass algorithm reduces the computational complexity compared with the existing multiphase algorithm, so speeds up the convergence rate. All algorithms are evaluated with simulated and real MRI images, and quantitative analyses are provided. The results are very encouraging
Casabayó, Bonàs Mònica. "Shopping behaviour forecasts : experiments based on a fuzzy learning technique in the Spanish food retailing industry". Thesis, University of Edinburgh, 2005. http://hdl.handle.net/1842/24209.
Texto completoAnderson, Alastair Andrew 1956. "The representation of personal constructs as fuzzy subsets : developing a model and testing its efficacy". Monash University, Dept. of Management, 1999. http://arrow.monash.edu.au/hdl/1959.1/8592.
Texto completoMinotti, Cristiano. "Estimador fuzzy de velocidade para motores de indução trifásicos usando abordagem sensorless". Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/18/18153/tde-15102008-135246/.
Texto completoThe use of sensorless technologies is an increasing tendency on industrial drives for electrical machines. The estimation of electrical and mechanical parameters involved with the electric machine control is used very frequently in order to avoid measurement of all variables from this process. The cost reduction may also be considered in industrial drives, besides the increasing robustness of the system, as advantages of the use of sensorless technologies. This work proposes the use of fuzzy logic to estimate the speed in three-phase induction motors. Simulation results are presented to validate the proposed approach and comparative analyses with other intelligent techniques are also outlined.
Libros sobre el tema "FUZZY TECHNIQUE"
Bryan, Debbie. Log Cabin Scribbles & Stitches presents Twigs, wings & fuzzy things. [Scott Depot, WV: Log Cabin Scribbles & Stitches, 2001.
Buscar texto completoWakefield, Pat. Fuzzy tales for little folk: 14 beautiful painting projects using your choice of tube oils or bottle acrylics. Norcross, GA (1649 International Blvd., P.O. Box 7600, Norcross 30091-7600): Plaid Enterprises, 1991.
Buscar texto completoAbdel-Kader, Magdy G. Investment decisions in advanced manufacturing technology: A fuzzy set theory approach. Brookfield, VT: Ashgate Pub., 1998.
Buscar texto completoDick, Scott, Vladik Kreinovich y Pawan Lingras, eds. Applications of Fuzzy Techniques. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-16038-7.
Texto completoKearfott, Ralph Baker, Ildar Batyrshin, Marek Reformat, Martine Ceberio y Vladik Kreinovich, eds. Fuzzy Techniques: Theory and Applications. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21920-8.
Texto completoKerre, Etienne E. y Mike Nachtegael, eds. Fuzzy Techniques in Image Processing. Heidelberg: Physica-Verlag HD, 2000. http://dx.doi.org/10.1007/978-3-7908-1847-5.
Texto completoKandel, Abraham. Fuzzy mathematical techniques with applications. Reading, Mass: Addison-Wesley, 1986.
Buscar texto completoE, Kerre Etienne y Nachtegael Mike 1976-, eds. Fuzzy techniques in image processing. Heidelberg: Physica-Verlag, 2000.
Buscar texto completoFuzzy mathematical techniques with applications. Reading, Mass: Addison-Wesley, 1985.
Buscar texto completoIslam, Sahidul y Wasim Akram Mandal. Fuzzy Geometric Programming Techniques and Applications. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-5823-4.
Texto completoCapítulos de libros sobre el tema "FUZZY TECHNIQUE"
Halide, Halmar y Peter Ridd. "Modelling Coral Bleaching Events Using a Fuzzy Logic Technique". En Fuzzy Logic, 352–62. Heidelberg: Physica-Verlag HD, 2002. http://dx.doi.org/10.1007/978-3-7908-1806-2_26.
Texto completoGhosh, Partha y Krishna Kundu. "Proto-Fuzzy Concepts Generation Technique Using Fuzzy Graph". En Springer Proceedings in Mathematics & Statistics, 63–74. New Delhi: Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2301-6_5.
Texto completoLiu, Hu-Chen. "FMEA Using Fuzzy DEMATEL Technique". En FMEA Using Uncertainty Theories and MCDM Methods, 133–49. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1466-6_9.
Texto completoGedeon, Tom D., Tao Lin, Patrick M. Wong y Dilip Tamhane. "Integrating Soft Computing Classification Technique For Linguistic Data in a Petroleum Engineering Application". En Fuzzy Logic, 301–10. Heidelberg: Physica-Verlag HD, 2002. http://dx.doi.org/10.1007/978-3-7908-1806-2_22.
Texto completoSuresh, R. M. y S. Arumugam. "Fuzzy Technique Based Recognition of Handwritten Characters". En Fuzzy Logic and Applications, 297–308. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/10983652_36.
Texto completoWaidelich, F., H. Eichfeld y R. Graumann. "Segmentation of Medical Images Using Fuzzy Technique". En Fuzzy Systems in Medicine, 394–409. Heidelberg: Physica-Verlag HD, 2000. http://dx.doi.org/10.1007/978-3-7908-1859-8_18.
Texto completoNeres, Fernando, Regivan Santiago y Benjamín Bedregal. "On a New Contrapositivisation Technique for Fuzzy Implications Constructed from Grouping Functions". En Applications of Fuzzy Techniques, 172–84. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16038-7_18.
Texto completoDi Martino, Ferdinando y Salvatore Sessa. "Fuzzy Transform Technique for Image Autofocus". En Fuzzy Transforms for Image Processing and Data Analysis, 49–60. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44613-0_4.
Texto completoGupta, Shikha y Muskan. "Fuzzy Logic Control D-STATCOM Technique". En Proceedings of International Conference on Artificial Intelligence and Applications, 173–83. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4992-2_17.
Texto completoAnsari, Mohd Zeeshan, M. M. Sufyan Beg y Manoj Kumar. "Enhancement of Fuzzy Rank Aggregation Technique". En Advances in Intelligent Systems and Computing, 127–35. New Delhi: Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2526-3_14.
Texto completoActas de conferencias sobre el tema "FUZZY TECHNIQUE"
Tiwari, Ashutosh, Q. M. Danish Lohani y Pranab K. Muhuri. "Intuitionistic Fuzzy Grey Relational Analysis Sorting Technique". En 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2022. http://dx.doi.org/10.1109/fuzz-ieee55066.2022.9882547.
Texto completoWei, Jyh-Da, Pei-Yu Jiang y Hsu-Fu Hsiao. "A fuzzy inference anti-shake technique for mobile display". En 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2016. http://dx.doi.org/10.1109/fuzz-ieee.2016.7737905.
Texto completoAhmed, Usman, Jerry Chun-Wei Lin, Stefania Tomasiello y Gautam Srivastava. "An Explainable Mental Health Fuzzy Deep Active Learning Technique". En 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2022. http://dx.doi.org/10.1109/fuzz-ieee55066.2022.9882622.
Texto completoKazemian, H. B. "An intelligent video streaming technique in zigbee wireless". En 2009 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2009. http://dx.doi.org/10.1109/fuzzy.2009.5277082.
Texto completoLee, Woo-Joo, Hye-Young Jung, Jin-Hee Yoon y Seung-Hoe Choi. "Forecasting using F-transform based on bootstrap technique". En 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2014. http://dx.doi.org/10.1109/fuzz-ieee.2014.6891756.
Texto completoBilliet, Christophe, Antoon Bronselaer y Guy De Tre. "A comparison technique for ill-known time intervals". En 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2016. http://dx.doi.org/10.1109/fuzz-ieee.2016.7737932.
Texto completoAbdullayev, P. S. "Fuzzy Statistics Approach for Aviation GTE Condition Estimation Technique". En ASME 8th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2006. http://dx.doi.org/10.1115/esda2006-95791.
Texto completoBiswas, Animesh y Koushik Bose. "A fuzzy goal programming technique for quadratic multiobjective multilevel programming". En 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2013. http://dx.doi.org/10.1109/fuzz-ieee.2013.6622479.
Texto completoPhongsuphap, Sukanya y Yongyuth Pongsupap. "Evaluation of responsiveness of health systems using fuzzy-based technique". En 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2014. http://dx.doi.org/10.1109/fuzz-ieee.2014.6891574.
Texto completoKajornrit, Jesada, Kok Wai Wong, Chun Che Fung y Yew Soon Ong. "An integrated intelligent technique for monthly rainfall time series prediction". En 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2014. http://dx.doi.org/10.1109/fuzz-ieee.2014.6891619.
Texto completoInformes sobre el tema "FUZZY TECHNIQUE"
Borgwardt, Stefan y Rafael Peñaloza. Infinitely Valued Gödel Semantics for Expressive Description Logics. Technische Universität Dresden, 2015. http://dx.doi.org/10.25368/2022.217.
Texto completoCombs, James E. Advanced Control Techniques with Fuzzy Logic. Fort Belvoir, VA: Defense Technical Information Center, junio de 2014. http://dx.doi.org/10.21236/ada604019.
Texto completoBuyak, Bogdan B., Ivan M. Tsidylo, Victor I. Repskyi y Vitaliy P. Lyalyuk. Stages of Conceptualization and Formalization in the Design of the Model of the Neuro-Fuzzy Expert System of Professional Selection of Pupils. [б. в.], noviembre de 2018. http://dx.doi.org/10.31812/123456789/2669.
Texto completoBorgwardt, Stefan. The Complexity of Fuzzy Description Logics over Finite Lattices with Nominals. Technische Universität Dresden, 2014. http://dx.doi.org/10.25368/2022.204.
Texto completoBorgwardt, Stefan y Rafael Peñaloza. A Tableau Algorithm for SROIQ under Infinitely Valued Gödel Semantics. Technische Universität Dresden, 2015. http://dx.doi.org/10.25368/2022.223.
Texto completoKaram, Sofia, Morteza Nagahi, Vidanelage Dayarathna, Junfeng Ma, Raed Jaradat y Michael Hamilton. Integrating systems thinking skills with multi-criteria decision-making technology to recruit employee candidates. Engineer Research and Development Center (U.S.), junio de 2021. http://dx.doi.org/10.21079/11681/41026.
Texto completoWillson. L51756 State of the Art Intelligent Control for Large Engines. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), septiembre de 1996. http://dx.doi.org/10.55274/r0010423.
Texto completoEvent-Triggered Adaptive Robust Control for Lateral Stability of Steer-by-Wire Vehicles with Abrupt Nonlinear Faults. SAE International, julio de 2022. http://dx.doi.org/10.4271/2022-01-5056.
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