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Books on the topic 'Fuzzy System Models'

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Published: 3 June 2025

Last updated: 31 July 2025

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1

1953-, Pedrycz Witold, ed. Fuzzy modelling: Paradigms and practice. Kluwer Academic Publishers, 1996.

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2

Angelov, Plamen P. Evolving rule-based models: A tool for design of flexible adaptive systems. Physica-Verlag, 2002.

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3

I, Ruban A., ed. Imitat͡s︡ionnye modeli neopredelennykh sistem. VO ʺNaukaʺ, 1993.

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4

Nelles, Oliver. Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models. Springer Berlin Heidelberg, 2001.

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5

Ledeneva, T. M. Modelirovanie prot︠s︡essa agregirovanii︠a︡ informat︠s︡ii v t︠s︡elenapravlennykh sistemakh. Voronezhskiĭ gos. tekhnicheskiĭ universitet, 1999.

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6

Jamshidi, Mohammad. Large-scale systems: Modeling, control, and fuzzy logic. Prentice Hall, 1997.

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7

Angelov, Plamen P. Evolving Rule-Based Models: A Tool for Design of Flexible Adaptive Systems. Physica-Verlag HD, 2002.

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8

M, Welch Ronald, and United States. National Aeronautics and Space Administration., eds. Global single and multiple cloud classification with a fuzzy logic expert system. National Aeronautics and Space Administration, 1996.

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9

Kortunov, A. I. Annotirovannai︠a︡ khronika voennoĭ sluzhby narodov Urala v XVI-XIX vv. RIT︠S︡ BashGU, 2009.

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10

Chernichovsky, Dov. A fuzzy logic approach toward solving the analytic maze of health system financing. National Bureau of Economic Research, 2001.

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11

Symposium on System Modelling, Fault Diagnosis, and Fuzzy Logic and Control (1997 Budapest and Miskolc, Hungary). Proceedings of the Symposium on System Modelling, Fault Diagnosis, and Fuzzy Logic and Control: Budapest and Miskolc, Hungary, May 6-10, 1997. Technical University of Budapest, 1997.

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12

Matviĭchuk, A. V. Analiz ta prohnozuvanni︠a︡ rozvytku finansovo-ekonomichnykh system iz vykorystanni︠a︡m teoriï nechitkoï lohiky. T︠S︡entr navchalʹnoï literatury, 2005.

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13

Robyns, Benoit. Vector Control of Induction Machines: Desensitisation and Optimisation Through Fuzzy Logic. Springer London, 2012.

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14

Vasil'eva, Natal'ya. Mathematical models in the management of copper production: ideas, methods, examples. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1014071.

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Presents the current status in modelling of metallurgical processes considered by the model the mathematical model used in the description of the processes of copper production and their classification. Set out a system of methods and models in the field of mathematical modeling of technological processes, including balance sheet, statistics, optimization models, forecasting models and predictive models. For specific technological processes are developed: the model of the balance of the cycle of pyrometallurgical production of copper, polynomial model for prediction of matte composition on the

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15

Sato, Mika. Fuzzy clustering models and applications. Physica Verlag, 1997.

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16

Lam, Hak-Keung. Polynomial Fuzzy Model-Based Control Systems. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-34094-4.

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17

Lendek, Zsófia. Stability Analysis and Nonlinear Observer Design Using Takagi-Sugeno Fuzzy Models. Springer-Verlag Berlin Heidelberg, 2011.

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18

Palm, Rainer. Model Based Fuzzy Control: Fuzzy Gain Schedulers and Sliding Mode Fuzzy Controllers. Springer Berlin Heidelberg, 1997.

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19

Oscar, Cordón, ed. Genetic fuzzy systems: Evolutionary tuning and learning of fuzzy knowledge bases. World Scientific, 2001.

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20

de, Caluwe Rita, ed. Fuzzy and uncertain object-oriented databases: Concepts and models. World Scientific, 1997.

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21

Kandel, Abraham. Fuzzy mathematical techniques with applications. Addison-Wesley, 1986.

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22

Lam, Hak-Keung, and Frank Hung-Fat Leung. Stability Analysis of Fuzzy-Model-Based Control Systems. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17844-3.

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23

Bárdossy, András. Fuzzy rule-based modeling with applications to geophysical, biological, and engineering systems. CRC Press, 1995.

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24

Wang, Shuming. Fuzzy Stochastic Optimization: Theory, Models and Applications. Springer US, 2012.

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25

N, Averkin A., I͡A︡zenin A. V, Tverskoĭ gosudarstvennyĭ universitet, and Sovetskai͡a︡ assot͡s︡iat͡s︡ii͡a︡ nechetkikh sistem, eds. Nechetkie sistemy: Modeli i programmnye sredstva : sbornik nauchnykh trudov. Tverskoĭ gos. universitet, 1991.

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26

Palm, Rainer. Model based fuzzy control: Fuzzy gain schedulers and sliding mode fuzzy controllers. Springer, 1997.

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27

F, Blishun A., Sovetskai͡a︡ assot͡s︡iat͡s︡ii͡a︡ nechetkikh sistem, and Kolomenskiĭ t͡s︡entr NTTM "Integral.", eds. Netradit͡s︡ionnye modeli i sistemy s nechetkimi znanii͡a︡mi: Sbornik nauchnykh trudov. Ėnergoatomizdat, 1991.

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28

N, Chorafas Dimitris. Financial models and simulation. St. Martins, 1995.

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29

Chorafas, Dimitris N. Financial models and simulation. Macmillan, 1995.

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30

International Conference on Systems Research, Informatics, and Cybernetics (19th 2007 Baden-Baden, Germany). Advances in environmental systems research: Sustainability, environmental sciences, support systems : effects of electromagnetic exposition on honeybees, principles of neuro-empirism and dynamic models, application of stochastic networks, sustainability of fuzzy theory, object oriented analysis, integrated logistic support principles, business information management system, sustainable decision support systems, health service delivery. International Institute for Advanced Studies in Systems Research and Cybernetics, 2007.

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31

International Conference on Systems Research, Informatics, and Cybernetics (19th 2007 Baden-Baden, Germany). Advances in environmental systems research: Sustainability, environmental sciences, support systems : effects of electromagnetic exposition on honeybees, principles of neuro-empirism and dynamic models, application of stochastic networks, sustainability of fuzzy theory, object oriented analysis, integrated logistic support principles, business information management system, sustainable decision support systems, health service delivery. International Institute for Advanced Studies in Systems Research and Cybernetics, 2007.

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32

Su, Xiaojie, Yao Wen, Yue Yang, and Peng Shi. Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-81214-0.

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33

Ying, Hao. Fuzzy control and modeling: Analytical foundations and applications. IEEE Press, 2000.

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34

Pawar, Prashant M. Structural health monitoring using genetic fuzzy systems. Springer, 2011.

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35

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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36

Feng, Gang. Analysis and synthesis of fuzzy control systems: A model-based approach. CRC Presss, 2010.

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37

Gohberg, I., and Witold Pedrycz. Fuzzy Modelling: Paradigms and Practice. Springer, 2011.

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38

Nelles, Oliver. Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models. Springer, 2000.

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39

Uncu, Özge. Type 2 fuzzy system models with type 1 inference. 2003.

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40

Li, Deng-Feng. Theoretical and Practical Advancements for Fuzzy System Integration. IGI Global, 2017.

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41

Pedrycz, W. Fuzzy Modelling: Paradigms and Practice (International Series in Intelligent Technologies). Springer, 1996.

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42

Boutalis, Yiannis, Dimitrios Theodoridis, Theodore Kottas, and Manolis A. Christodoulou. System Identification and Adaptive Control: Theory and Applications of the Neurofuzzy and Fuzzy Cognitive Network Models. Springer, 2016.

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43

Boutalis, Yiannis, Dimitrios Theodoridis, Theodore Kottas, and Manolis A. Christodoulou. System Identification and Adaptive Control: Theory and Applications of the Neurofuzzy and Fuzzy Cognitive Network Models. Springer International Publishing AG, 2014.

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44

Boutalis, Yiannis, Dimitrios Theodoridis, Theodore Kottas, and Manolis A. Christodoulou. System Identification and Adaptive Control: Theory and Applications of the Neurofuzzy and Fuzzy Cognitive Network Models. Springer London, Limited, 2014.

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45

Nelles, Oliver. Nonlinear System Identification: From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes. Springer International Publishing AG, 2021.

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46

Hellendoorn, Hans, and Dimiter Driankov. Fuzzy Model Identification: Selected Approaches. Springer London, Limited, 2012.

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47

(Editor), Hans Hellendoorn, and Dimiter Driankov (Editor), eds. Fuzzy Model Identification: Selected Approaches. Springer, 1998.

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48

Jamshidi, Mohammad. Large-Scale Systems: Modeling, Control and Fuzzy Logic. Prentice Hall, 1996.

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49

Nonlinear System Identification: From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes. Springer, 2020.

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50

Decision Theory with Imperfect Information. World Scientific Publishing Co Pte Ltd, 2014.

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