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“The role of fuzzy logic in modeling, identification and control”

Authors: Lotfi A. Zadeh,
Affiliation: University of California at Berkeley
Reference: 1994, Vol 15, No 3, pp. 191-203.

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Keywords: Fuzzy logic, fuzzy contol, fuzzy modeling

Abstract: In the nearly four decades which have passed since the launching of the Sputnik, great progress has been achieved in our understanding of how to model, identify and control complex systems. However, to be able to design systems having high MIQ (Machine Intelligence Quotient), a profound change in the orientation of control theory may be required. More specifically, what may be needed is the employment of soft computing - rather than hard computing - in systems analysis and design. Soft computing - unlike hard computing - is tolerant of imprecision, uncertainty and partial truth.

PDF PDF (1796 Kb)        DOI: 10.4173/mic.1994.3.9

DOI forward links to this article:
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  [2] (2013), doi:10.1002/9781118534823.ch3
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  [7] Kazem Sadegh-Zadeh (2001), doi:10.1016/S0933-3657(00)00071-3
  [8] M.-S. Ouali, D. Ait-Kadi and N. Rezg (1999), doi:10.1016/S0360-8352(99)00048-0
  [9] Arnold F Shapiro (2002), doi:10.1016/S0167-6687(02)00124-5
  [10] Tsung-Jung Hsieh, Hsiao-Fen Hsiao and Wei-Chang Yeh (2011), doi:10.1016/j.asoc.2010.09.007
  [11] Arnold F. Shapiro and R. Paul Gorman (2000), doi:10.1016/S0167-6687(00)00036-6
  [12] Mark J. Woods and James R. Hewit (2003), doi:10.1016/S0957-4158(01)00078-2


References:
[1] BELLMAN, R.E., ZADEH, L.A. (1970). Decision-making in a fuzzy environment, Management Science, 17, B141 - B164 doi:10.1287/mnsc.17.4.B141
[2] BERENJI, H.R. (1991). Fuzzy logic controllers, In An Introduction to Fuzzy Logic Applications in Intelligent Systems, edited by R.R. Yager and L.A. Zadeh.Kluwer Academic Publishers, pp. 69-96.
[3] CHANG, S.S.L., ZADEH, L.A. (1972). On fuzzy mapping and control, IEEE Trans. Systems, Man, and Cybernetics, 2, 30-34.
[4] DRIANKOV, D., HELLENDOORN, H., REINFRANK, M. (1993). An Introduction to Fuzzy Control, Springer-Verlag, Berlin.
[5] DUBOIS, D., PRADE, H., YAGER, R. (1993). Readings in Fuzzy Sets for Intelligent Systems, Morgan Kaufmann, San Mateo.
[6] HERTZ, J., KROGH, A., PALMER, R. (1991). Introduction to the theory of neural computation, Addison Wesley.
[7] JAMSHIDI, M., VADIEE, N. ROSS, T. (1993). Fuzzy Logic and Control, Prentice Hall, Englewood Cliffs, NJ.
[8] JANG, J.-S.R. (1992). Self-learning fuzzy controller based on temporal back-propagation, IEEE Trans. on Neural Networks, 3, 714-723 doi:10.1109/72.159060
[9] KANDEL, A , LANGHOLZ, G. (1994). Fuzzy Control Systems, CRC Press, Boca Raton.
[10] KARR, C. (1991). Genetic algorithms for fuzzy controllers, AI Expert, 6, 26-33.
[11] KOSKO, B. (1991). Neural Networks and Fuzzy Systems: A Dynamical Systems Approach to Machine Intelligence, Englewood Cliffs, Prentice-Hall.
[12] LEE, C.C. (1990). Fuzzy logic in control systems: Fuzzy logic controller, Part I and Part II, IEEE Trans. Systems, Man and Cybernetics, 20, 404-418 doi:10.1109/21.52551
[13] LEE, M.A. TAKAGI, H. (1993). Integrating design stages of fuzzy systems using genetic algorithms, 2nd International Conference on Fuzzy Systems.FUZZ-IEEE 93, pp. 612-617, March 28-April 1.
[14] LIN, C.-T. GEORGE LEE, C.S. (1991). Neural-network-based fuzzy logic control and decision system, IEEE Transactions on Computers, 40, 1320-1336 doi:10.1109/12.106218
[15] MAMDANI, E.H. ASSILIAN, S. (1975). An experiment in linguistic synthesis with a fuzzy logic controller, Int. J. Man-Machine Studies, 7, 1-13 doi:10.1016/S0020-7373(75)80002-2
[16] PEDRYCZ, W. (1989). Fuzzy Control and Fuzzy Systems, John Wiley, New York.
[17] SUGENO, M. KANG, G.T. (1988). Structure identification of fuzzy model, Fuzzy Sets and Systems, 28, 15-33 doi:10.1016/0165-0114(88)90113-3
[18] TERANO, T., ASAI, K. SUGENO, M. (1992). Fuzzy Systems Theory and its Applications, Academic Press.
[19] TAKAGI, T. SUGENO, M. (1985). Fuzzy identification of systems and its applications to modeling and control, IEEE Trans. Systems, Man and Cybernetics, 15, 116-132.
[20] WANG, L.-X. (1994). Adaptive Fuzzy Systems and Control: Design and Stability Analysis, PTR Prentice Hall, Englewood Cliffs, New Jersey.
[21] WARWICK, K., IRWIN, G.W. HUNT, K.J. (1992). Neural networks for control and systems, London, Peter Peregrinus Ltd.
[22] WERBOS, P.J. (1974). Beyond Regression: New Tools for Prediction and Analysis in the Behaviour Sciences, Ph.D. Thesis. Harvard University, Committee on Applied Mathematics.
[23] ZADEH, L.A. (1971). Toward a theory of fuzzy systems, In Aspects of Network and System Theory, R.E. Kalman and N. DeClaris .New York: Rinehart and Winston, 469-490.
[24] ZADEH, L. A. (1972). A rationale for fuzzy control, J. Dynamic Systems, Measurement and Control 94, Series G, 3-4.
[25] ZADEH, L. A. (1973). Outline of a new approach to the analysis of complex systems and decision processes, IEEE Trans. Systems, Man and Cybernetics, 3, 28-44.
[26] ZADEH, L.A. (1974). On the analysis of large scale systems, In Systems Approaches and Environment Problems, H. Gottinger (ed.), 23-27 (Gottingen, Vandenhoeck and Ruprecht).
[27] ZADEH, L.A. (1974). A fuzzy-algorithmic approach to the definition of complex or imprecise concepts, Electronics Research Laboratory Report ERL-M474, University of California, Berkeley,.also published in Int. Man-Machine Studies, 8, 249-291,1976.
[28] ZADEH, L.A. (1975). The concept of a linguistic variable and its applications to approximate reasoning, I, Information Sciences, 8, 199-249 doi:10.1016/0020-0255(75)90036-5
[29] ZADEH, L. A. (1994). Fuzzy Logic, Neural Networks and Soft Computing, Comm. ACM, 37,77-84 doi:10.1145/175247.175255
[30] ZIMMERMAN, H. J. (1990). Fuzzy Set Theory and Its Applications, second edition.Kluwer-Nijhoff.


BibTeX:
@article{MIC-1994-3-9,
  title={{The role of fuzzy logic in modeling, identification and control}},
  author={Zadeh, Lotfi A.},
  journal={Modeling, Identification and Control},
  volume={15},
  number={3},
  pages={191--203},
  year={1994},
  doi={10.4173/mic.1994.3.9},
  publisher={Norwegian Society of Automatic Control}
};

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