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Relevant bibliographies by topics / Fuzzy logic method

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Academic literature on the topic 'Fuzzy logic method'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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Journal articles on the topic "Fuzzy logic method"

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Rushdi, Ali Muhammad, Mohamed Zarouan, Taleb Mansour Alshehri, and Muhammad Ali Rushdi. "A Modern Syllogistic Method in Intuitionistic Fuzzy Logic with Realistic Tautology." Scientific World Journal 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/327390.

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The Modern Syllogistic Method (MSM) of propositional logic ferrets out from a set of premisesallthat can be concluded from it in the most compact form. The MSM combines the premises into a single function equated to 1 and then produces the complete product of this function. Two fuzzy versions of MSM are developed in Ordinary Fuzzy Logic (OFL) and in Intuitionistic Fuzzy Logic (IFL) with these logics augmented by the concept of Realistic Fuzzy Tautology (RFT) which is a variable whose truth exceeds 0.5. The paper formally proves each of the steps needed in the conversion of the ordinary MSM int

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Wai, Wai Tun. "Comparison of Defuzzification Methods from a Real World Problem." International Journal of Trend in Scientific Research and Development 3, no. 5 (2019): 2194–97. https://doi.org/10.5281/zenodo.3591212.

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Fuzzy logic is a method to formalize the human capacity of imprecise reasoning. Fuzzy logic react how people think. It tries to make our sense of words and our decision making. As a result, it is making to human intelligent systems. There are three basic steps for fuzzy logic system i.e. Fuzzification, Rule evaluation and Defuzzification. In this paper I discuss a real life problem in which different results of same survey were presented. The survey data represent vague values in the form of fuzzy sets. To solve this problem we applied defuzzification methods to get the best result from survey

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Mohammadian, Masoud. "Modelling, Control and Prediction using Hierarchical Fuzzy Logic Systems." International Journal of Fuzzy System Applications 6, no. 3 (2017): 105–23. http://dx.doi.org/10.4018/ijfsa.2017070105.

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Hierarchical fuzzy logic systems are increasingly applied to solve complex problems. There is a need for a structured and methodological approach for the design and development of hierarchical fuzzy logic systems. In this paper a review of a method developed by the author for design and development of hierarchical fuzzy logic systems is considered. The proposed method is based on the integration of genetic algorithms and fuzzy logic to provide an integrated knowledge base for modelling, control and prediction. Issues related to the design and construction of hierarchical fuzzy logic systems us

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Yeşil, Gülseren, and Özlem Şahin. "AIRCRAFT SEQUENCING WITH FUZZY LOGIC METHOD." Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering 26, no. 2 (2025): 161–78. https://doi.org/10.18038/estubtda.1674259.

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The growth in the demand for air transport causes an increase in air traffic. In this case, more air traffic needs to be carried out safely, regularly and quickly. It is important to correctly and fairly order the landing traffic in order to reduce the delaying, especially in the air due to heavy traffic. In this study, it is aimed to sequence the arrival traffic with fuzzy logic method. Speed, distance, altitude parameters were used for sequencing. Traffic data was collected from the Air Traffic Simulation Laboratory at Eskişehir Technical University’s Air Traffic Control Department. A compar

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Olesiak, Krzysztof. "APPLICATION OF FUZZY LOGIC TOOLBOX FOR MODELLING FUZZY LOGIC CONTROLLERS." SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference 3 (May 26, 2017): 539. http://dx.doi.org/10.17770/sie2017vol3.2398.

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Computer technology, which has been developing very fast in the recent years, can be also fruitfully applied in teaching. For example, the software package Matlab is highly useful in teaching students at Bachelor Programs of Electrical Engineering and Automatics and Robotics. Fuzzy Logic Toolbox of the Matlab package can be used for designing and modelling controllers. Thanks to a large number of pre-defined elements available in the libraries, it is possible to create even highly complicated models of systems without much effort. Fuzzy Logic Toolbox is especially useful for exploring the basi

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Özgüney, Ömür Can. "Lqr-Fuzzy Logic Control of a Quarter Vehicle Model." Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi 27, no. 79 (2025): 15–21. https://doi.org/10.21205/deufmd.2025277903.

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In this study, a new control rule was developed using two different control methods, and the results were discussed by applying the developed controller to the quarter vehicle model. A new hybrid controller was designed by considering the advantages of Fuzzy Logic control method and Linear Quadratic Regulator (LQR) control method. Control gain coefficients used in LQR controller were determined by fuzzy logic control method. The developed new controller has been applied to the quarter vehicle model. In the results, control with only Fuzzy Logic controller and developed LQR-Fuzzy Logic controll

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Precup, Radu-Emil, Marius-Lucian Tomescu, and Ștefan Preitl. "Fuzzy Logic Control System Stability Analysis Based on Lyapunov’s Direct Method." International Journal of Computers Communications & Control 4, no. 4 (2009): 415. http://dx.doi.org/10.15837/ijccc.2009.4.2457.

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A stability analysis method for nonlinear processes controlled by Takagi- Sugeno (T-S) fuzzy logic controllers (FLCs) is proposed. The stability analysis of these fuzzy logic control systems is done in terms of Lyapunov’s direct method. The stability theorem presented here ensures sufficient conditions for the stability of the fuzzy logic control systems. The theorem enables the formulation of a new stability analysis algorithm that offers sufficient stability conditions for nonlinear processes controlled by a class of T-S FLCs. In addition, the paper includes an illustrative example that desc

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Schneider, Christian, Melina Burkert, Patrik Weise, and Alexander Sauer. "Risikobewertung von Energieeffizienzmaßnahmen/Risk assessment of energy efficiency measures." wt Werkstattstechnik online 111, no. 01-02 (2021): 44–48. http://dx.doi.org/10.37544/1436-4980-2021-01-02-48.

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Das Risikomanagement von Energieeffizienzmaßnahmen ist ein bislang noch wenig betrachtetes Forschungsfeld. Daher behandelt dieser Beitrag die Risikobewertung von Energieeffizienzmaßnahmen. Bestehende Methoden zur Risikobewertung basieren unter anderem auf der Fuzzy-Logik. Ihr Vorteil ist die einfache Quantifizierung von qualitativem Expertenwissen für die Analyse der Risikostruktur. Der Beitrag nutzt die Fuzzy-Logik, um eine Methode für die Risikobewertung von Energieeffizienzmaßnahmen unter Einbeziehung von Expertenwissen zu präsentieren und ordnet diese in bestehende Ansätze zur Risikobewert

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Srivastava, Rachna, and Yogesh Pal. "Image Compression Using Fractal Dimension Based on Quadtree Fuzzy Logic Method." International Journal of Trend in Scientific Research and Development Volume-2, Issue-5 (2018): 88–95. http://dx.doi.org/10.31142/ijtsrd15755.

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Salman, Afan Galih. "Pemodelan Sistem Fuzzy Dengan Menggunakan Matlab." ComTech: Computer, Mathematics and Engineering Applications 1, no. 2 (2010): 276. http://dx.doi.org/10.21512/comtech.v1i2.2349.

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Fuzzy logic is a method in soft computing category, a method that could process uncertain, inaccurate, and less cost implemented data. Some methods in soft computing category besides fuzzy logic are artificial network nerve, probabilistic reasoning, and evolutionary computing. Fuzzy logic has the ability to develop fuzzy system that is intelligent system in uncertain environment. Some stages in fuzzy system formation process is input and output analysis, determining input and output variable, defining each fuzzy set member function, determining rules based on experience or knowledge of an expe

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Dissertations / Theses on the topic "Fuzzy logic method"

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Galor, Abraham. "Fuzzy logic control: The active cell method." Case Western Reserve University School of Graduate Studies / OhioLINK, 1994. http://rave.ohiolink.edu/etdc/view?acc_num=case1057689901.

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Copen, Shirley J. "Fuzzy logic cost estimation method for high production volume components." Morgantown, W. Va. : [West Virginia University Libraries], 2001. http://etd.wvu.edu/templates/showETD.cfm?recnum=2248.

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Thesis (M.S.)--West Virginia University, 2001.<br>Title from document title page. Document formatted into pages; contains xiii, 252 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 250-251).

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Chelak, Viktor, Svitlana Gavrylenko, and E. Chelak. "Computer system anomalous state detection method based on fuzzy logic." Thesis, ФОП Петров В. В, 2019. http://repository.kpi.kharkov.ua/handle/KhPI-Press/40724.

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Greenfield, Sarah. "Type-2 fuzzy logic : circumventing the defuzzification bottleneck." Thesis, De Montfort University, 2012. http://hdl.handle.net/2086/7088.

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Type-2 fuzzy inferencing for generalised, discretised type-2 fuzzy sets has been impeded by the computational complexity of the defuzzification stage of the fuzzy inferencing system. Indeed this stage is so complex computationally that it has come to be known as the defuzzification bottleneck. The computational complexity derives from the enormous number of embedded sets that have to be individually processed in order to effect defuzzification. Two new approaches to type-2 defuzzification are presented, the sampling method and the Greenfield-Chiclana Collapsing Defuzzifier. The sampling method

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Nabhen, Ricardo Cassiano. "Fuzzy logic based method for modeling queue behavior of network nodes." Paris 6, 2009. http://www.theses.fr/2009PA066203.

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Prévoir la capacité des réseaux basés sur IP est une tache difficile. Idéalement, pour estimer la quantité maximale de trafic qui pourrait être supportée par le réseau, sans violer les besoins de QoS, il est nécessaire de déterminer la distribution de la longueur des files d'attente de noeuds de réseau sous différentes conditions de trafic. La caractérisation d'un modèle pour la distribution de la longueur de la file d'attente est un sujet largement étudié, pourtant l'appareil mathématique associé devient de plus en plus compliqué lorsqu'on doit traiter plusieurs files d'attente de priorité, t

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Tam, Kin Seng. "Intelligent power factor controller with new measuring method and fuzzy logic control." Thesis, University of Macau, 1998. http://umaclib3.umac.mo/record=b1447758.

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Závěrka, Pavel. "Možnosti využití neurčité logiky v oceňovací praxi." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2010. http://www.nusl.cz/ntk/nusl-232474.

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Abstract The following thesis discusses the problems of apprising methods of real estate with regard to subjective factor which is inherited in the process by the appricing subject. It discusses methods, evaluations and points out possible disturbing effects and faults which could influence these methods. The example case study shows possibilities in using the power of fuzzy logic, which contributes in a significant way to higher transparency, reproducibility and portability of the whole appricing process. The main goal of the thesis is to introduce the advantages and power of a new evaluation

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Ralbovský, Martin. "Fuzzy GUHA." Doctoral thesis, Vysoká škola ekonomická v Praze, 2006. http://www.nusl.cz/ntk/nusl-77047.

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The GUHA method is one of the oldest methods of exploratory data analysis, which is regarded as part of the data mining or knowledge discovery in databases (KDD) scienti_c area. Unlike many other methods of data mining, the GUHA method has firm theoretical foundations in logic and statistics. In scope of the method, finding interesting knowledge corresponds to finding special formulas in satisfactory rich logical calculus, which is called observational calculus. The main topic of the thesis is application of the "fuzzy paradigm" to the GUHA method By the term "fuzzy paradigm" we mean approache

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Plouffe, Jeffrey Stewart. "The development and validation of a fuzzy logic method for time-series extrapolation /." View online ; access limited to URI, 2005. http://0-wwwlib.umi.com.helin.uri.edu/dissertations/dlnow/3186918.

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Janhuba, Luboš. "The Integrated Method Utilizing Graph Theory and Fuzzy Logic for Safety and Reliability Assessment." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2018. http://www.nusl.cz/ntk/nusl-387740.

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Dizertační práce se zabývá návrhem integrované metody hodnocení bezpečnosti a spolehlivosti palubních leteckých systém za použití teorie grafů a fuzzy logiky. Navržená integrovaná metoda je univerzálně použitelná v oblasti hodnocení bezpečnosti a spolehlivosti, nicméně je primárně navržená pro použití v oblasti General Aviation a civilních bezpilotních prostředků. Současná podoba hodnocení spolehlivosti je téměř výhradně závislá na úsudku analytika. Použití komerčních softwarových nástrojů pro hodnocení spolehlivosti je extrémně nákladné, přičemž možnost přístupu a úpravy použitých algoritmů j

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Books on the topic "Fuzzy logic method"

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Amezcua, Jonathan, Patricia Melin, and Oscar Castillo. New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73773-7.

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Siegfried, Gottwald, ed. Fuzzy sets, fuzzy logic, fuzzy methods with applications. J. Wiley, 1995.

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Arfi, Badredine. Linguistic Fuzzy Logic Methods in Social Sciences. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13343-5.

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Bobyr', Maksim, Sergey Emel'yanov, and Natal'ya Milostnaya. Automated fuzzy logic control systems and methods of their sensitization. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/2162831.

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The monograph is devoted to the methods of designing automated fuzzy logic control systems and methods of their sensing using vision systems. The presented methods, mathematical models, algorithms, and fuzzy logic control systems based on them differ from the known ones by automatically correcting the parameters of the cutting mode, taking into account the disturbing effects acting on the control object in real time. It is addressed to scientists, engineers, graduate students and students of technical specialties interested in fuzzy logic, control theory, stability of complex systems and manag

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IGOShIN, Vladimir. Logic with elements of mathematical logic. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1856361.

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In the textbook, traditional logic is presented from the point of view of mathematical logic. Mathematization begins with the study of the topic "Concept", continues with the topic "Judgment" and reaches its greatest effectiveness in the study of deductive reasoning. Thus, the most effective part of traditional logic is subjected to mathematization. The issues of the relationship between logic and intuition in thought processes, the role of language in them, as well as plausible conclusions and elements of the theory of fuzzy sets and fuzzy logic are considered. Meets the requireme

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United States. National Aeronautics and Space Administration., ed. Multi-objective decision-making under uncertainty: Fuzzy logic methods. National Aeronautics and Space Administration, 1994.

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United States. National Aeronautics and Space Administration., ed. Multi-objective decision-making under uncertainty: Fuzzy logic methods. National Aeronautics and Space Administration, 1994.

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Cios, Krzysztof J. A comparison of neural networks and fuzzy logic methods for process modeling. National Aeronautics and Space Administration, 1996.

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Gonzalez, Claudia I., Patricia Melin, Juan R. Castro, and Oscar Castillo. Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53994-2.

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1976-, Laurent Anne, and Lesot Marie-Jeanne 1978-, eds. Scalable fuzzy algorithms for data management and analysis: Methods and design. Information Science Reference, 2009.

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Book chapters on the topic "Fuzzy logic method"

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Nomura, Hiroyoshi, Isao Hayashi, and Noboru Wakami. "A Self-Tuning Method of Fuzzy Inference Rules by Descent Method." In Fuzzy Logic. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-2014-2_43.

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Czyzak, Piotr, and Roman SlowiŃski. "A Visual Interactive Method for Molp Problems with Fuzzy Coefficients." In Fuzzy Logic. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-2014-2_30.

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Narazaki, Hiroshi, and Anca L. Ralescu. "A method to implement qualitative knowledge in multi-layered neural network." In Fuzzy Logic and Fuzzy Control. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-58279-7_21.

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Gładysz, Barbara, and Dorota Kuchta. "Least Squares Method for L-R Fuzzy Variables." In Fuzzy Logic and Applications. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02282-1_5.

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Roh, Yong-Wan, Jung-Hyun Kim, Dong-Joo Kim, and Kwang-Seok Hong. "A Hybrid Warping Method Approach to Speaker Warping Adaptation." In Fuzzy Logic and Applications. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11676935_18.

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Falda, Marco. "A Method for Characterizing Tractable Subsets of Qualitative Fuzzy Temporal Algebrae." In Fuzzy Logic and Applications. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11676935_9.

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Sangiovanni, Guido. "Using Fuzzy Logic to Generate the Mesh for the Finite Element Method." In Fuzzy Logic and Applications. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11676935_51.

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Jezek, Karel, and Martin Zíma. "Magic Sets Method with Fuzzy Logic." In Advances in Information Systems. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36077-8_8.

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Facchinetti, Gisella, and Nicoletta Pacchiarotti. "A General Defuzzification Method for Fuzzy Total Cost in an Inventory Without Backorder Case." In Fuzzy Logic and Applications. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/10983652_19.

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Nandatiko, Arinda Restu, Wahyu Fadli Satrya, and Emny Harna Yossy. "Tourism Recommendation System Using Fuzzy Logic Method." In Lecture Notes in Electrical Engineering. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-29078-7_79.

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Conference papers on the topic "Fuzzy logic method"

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Chen, Song-Shyong. "Networked control systems design via fuzzy logic method." In 2009 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2009. http://dx.doi.org/10.1109/fuzzy.2009.5277101.

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Canning, John R., and Dean B. Edwards. "A Method for Embedding Human Expert Knowledge Into a Fuzzy Logic Controller." In ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium collocated with the ASME 1995 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/cie1995-0833.

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Abstract This paper presents a method for embedding human expert knowledge into a fuzzy logic controller. The method was developed while designing a fuzzy logic control system for an autonomous vehicle that utilized sparse sensor data for terrain classification. We will discuss the design for the fuzzy logic terrain classification system and use it as an example for explaining the embedding method. In the example, a human expert classified terrain features from sensor data provided by a two-dimensional computer simulation. From the information derived from the expert, we developed both a class

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Su, Charles Q. "A new fuzzy logic method for transformer incipient fault diagnosis." In 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2016. http://dx.doi.org/10.1109/fuzz-ieee.2016.7737704.

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Srikanth, K., F. W. Liou, and S. N. Balakrishnan. "Automatic Tolerance Assignment Using Fuzzy Logic." In ASME 1998 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/detc98/dac-5585.

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Abstract Tolerance design is interdisciplinary in nature and requires input from various stages of product development such as design, manufacturing, and assembly. The factors involved, such as equipment and labor costs, process information, and required rate of successful assembly, are highly uncertain, especially in the early design stage. This paper presents a fuzzy logic approach to model all uncertain parameters in the process for automatic optimal tolerance assignment. A method based on fuzzy logic to evaluate assembly rate is proposed, and the comparison between the fuzzy logic approach

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Zhang, Ling, Ming Zhang, and H. D. Cheng. "An Extended Fuzzy Logic Method for Watershed." In 11th Joint Conference on Information Sciences. Atlantis Press, 2008. http://dx.doi.org/10.2991/jcis.2008.62.

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Fahmi, Mukhamad Awaludin, and Mudrik Alaydrus. "Hand Signs Translator using Fuzzy Logic Method." In 2019 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET). IEEE, 2019. http://dx.doi.org/10.1109/icramet47453.2019.8980375.

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Miron, Radu, and Tiberiu Letia. "Fuzzy logic method for partial fingerprint recognition." In 2012 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR 2012). IEEE, 2012. http://dx.doi.org/10.1109/aqtr.2012.6237781.

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Wong, Ginny Y., Frank H. F. Leung, and Sai-Ho Ling. "An under-sampling method based on fuzzy logic for large imbalanced dataset." In 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2014. http://dx.doi.org/10.1109/fuzz-ieee.2014.6891771.

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Xiao, Lin, Jia Meng, Shifei Ding, and Li Zou. "A resolution method for linguistic truth-valued intuitionistic fuzzy first-order logic." In 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2016. http://dx.doi.org/10.1109/fuzz-ieee.2016.7737784.

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Luo, Jia, and Craig A. Kluever. "A Fuzzy Logic Controller for Orbital Rendezvous." In ASME 1997 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/imece1997-0407.

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Abstract A new application of fuzzy logic is investigated. A control scheme based on fuzzy logic techniques is developed for the orbital rendezvous phase of a low-thrust spacecraft. The minimum-fuel trajectory between specified energy levels is utilized as a reference trajectory. The fuzzy logic controller responds effectively to a range of initial state perturbations and results in very precise terminal orbit conditions with good tracking performance. The fuzzy logic controller exhibits better tracking performance and in some cases substantial fuel savings compared to a Linear perturbation co

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Reports on the topic "Fuzzy logic method"

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Holman, Allyson, William Gilbraith, and Holly Flynn. Applications of fuzzy logic and best-worst method for tritium sensor selection. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2406473.

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Tsidylo, Ivan M., Serhiy O. Semerikov, Tetiana I. Gargula, Hanna V. Solonetska, Yaroslav P. Zamora, and Andrey V. Pikilnyak. Simulation of intellectual system for evaluation of multilevel test tasks on the basis of fuzzy logic. CEUR Workshop Proceedings, 2021. http://dx.doi.org/10.31812/123456789/4370.

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The article describes the stages of modeling an intelligent system for evaluating multilevel test tasks based on fuzzy logic in the MATLAB application package, namely the Fuzzy Logic Toolbox. The analysis of existing approaches to fuzzy assessment of test methods, their advantages and disadvantages is given. The considered methods for assessing students are presented in the general case by two methods: using fuzzy sets and corresponding membership functions; fuzzy estimation method and generalized fuzzy estimation method. In the present work, the Sugeno production model is used as the closest

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Lavrentieva, Olena O., Ihor O. Arkhypov, Olexander I. Kuchma, and Aleksandr D. Uchitel. Use of simulators together with virtual and augmented reality in the system of welders’ vocational training: past, present, and future. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3748.

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The article discusses the theory and methods of simulation training, its significance in the context of training specialists for areas where the lack of primary qualification is critical. The most widespread hardware and software solutions for the organization welders' simulation training that use VR- and AR- technologies have been analyzed. A review of the technological infrastructure and software tools for the virtual teaching-and-production laboratory of electric welding has been made on the example of the achievements of Fronius, MIMBUS, Seabery. The features of creating a virtual simulati

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Paule, Bernard, Flourentzos Flourentzou, Tristan de KERCHOVE d’EXAERDE, Julien BOUTILLIER, and Nicolo Ferrari. PRELUDE Roadmap for Building Renovation: set of rules for renovation actions to optimize building energy performance. Department of the Built Environment, 2023. http://dx.doi.org/10.54337/aau541614638.

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In the context of climate change and the environmental and energy constraints we face, it is essential to develop methods to encourage the implementation of efficient solutions for building renovation. One of the objectives of the European PRELUDE project [1] is to develop a "Building Renovation Roadmap"(BRR) aimed at facilitating decision-making to foster the most efficient refurbishment actions, the implementation of innovative solutions and the promotion of renewable energy sources in the renovation process of existing buildings. In this context, Estia is working on the development of infer

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