Abstract
Abstract
Developments in fuzzy sets theory are considered in relation to those in expert systems. It is suggested that these are not just mathematical and technological advances but also represent major paradigm shifts in system theory. The main shift is away from the normative application of technology to change the world to be theoretically tractable, and towards increasing model realism. The limitations of classical “hard” system theory when applied to natural systems are the impetus behind the development of modern “soft” system theory, its foundations in fuzzy sets theory and its application in expert systems.
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References
Davis, R. (1983). TEIRESIAS: experiments in communicating with a knowledge-based system. In M.E. Sime, and M.J. Coombs (eds.), Designing for Human-Computer Communication. Academic Press, London, 87–137.
Davis, R., and D.B. Lenat (1982). Knowledge-Based Systems in Artificial Intelligence. McGraw-Hill, New York.
Davis, R., and D.B. Lenat (1982). Knowledge-Based Systems in Artificial Intelligence. McGraw-Hill, New York.
Davis, R., and D.B. Lenat (1982). Knowledge-Based Systems in Artificial Intelligence. McGraw-Hill, New York.
Gaines, B.R., and M.L.G. Shaw (1984a). The Art of Computer Conversation: A New Medium for Communication. Prentice Hall, Englewood Cliffs, N.J.
Gaines, B.R., and M.L.G. Shaw (1984b). Logical foundations of expert systems. Proc. of IEEE Int. Conference on Systems, Man and Cybernetics. Halifax, Nova Scotia, 238–247.
Gaines, B.R. and M.L.G. Shaw (1984c). Expert systems: the substitution of knowledge for materials in world food production. Possible Worlds, 5–8.
Gevarter, W.B. (1983). Expert systems: limited but powerful. IEEE Spectrum 18, 39–45.
Hayes-Roth, F. (1984). The industrialization of knowledge engineering. In W. Reitman (ed.), Artificial Intelligence Applications for Business. Ablex, Norwood, N.J., 159–177.
Kandel, A., and R.R. Yager (1979). A 1979 bibliography of fuzzy sets, their applications and related topics. In M.M. Gupta, R.K. Ragade, and R.R. Yager (eds.). Advances in Fuzzy Set Theory and Applications. North-Holland, Amsterdam, 621–744.
Mamdani, E.H., and S. Assilian (1981). An experiment in linguistic synthesis with a fuzzy logic controller. In E.H. Mamdani and B.R. Gaines (eds.), Fuzzy Reasoning and its Applications. Academic Press, London, 311–323.
Mamdani, E.H., J.J. Ostergaard, and E. Lembessis (1984). Use of fuzzy logic for implementing rule-based control of industrial processes. In H.J. Zimmermann, L.A. Zadeh, and B.R. Gaines (eds.), Fuzzy Sets and Decision Analysis. North-Holland, Amsterdam.
Mamdani, E.H., T. Procyk and N. Baaklini (1976). Application of fuzzy logic to controller design based on linguistic protocol. In E.H. Mamdani and B.R. Gaines (eds.), Discrete Systems and Fuzzy Reasoning. Queen Mary College, London, 125–149.
Michie, D., (ed.) (1979). Expert Systems in the Micro Electronic Age. Edinburgh University Press, Edinburg.
Reitman, W., (ed.) (1984). Artificial Intelligence Applications for Business. Ablex, Norwood, N.J.
Salmon, W. (1984). Scientific Explanation and the Causal Structure of the World. Princeton University Press, Princeton, N.J.
Shortliffe, E.H. (1976). Computer-Based Medical Consultations: MYCIN. Elsevier, New York.
Zadeh, L.A. (1956). On the identification problem. IRE Trans. Circuit Theory CT-3, 277–281.
Zadeh, L.A. (1957). What is optimal? IRE Trans. Circuit Theory. CT-4, 3.
Zadeh, L.A. (1962). From circuit theory to system theory. Proc. Institute of Radio Engineers 50, 856–865,
Zadeh, L.A. (1963). On the definition of adaptivity. Proc. IEEE 51, 469–470.
Zadeh, L.A. (1964). The concept of state in system theory. Proc. of the Second Systems Symposium. John Wiley, New York.
Zadeh, L.A. (1965). Fuzzy sets. Inf. and Control 8, 338–353.
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Gaines, B.R. (1987). New Paradigms in Systems Engineering: From “Hard” to “Soft” Approaches. In: Kacprzyk, J., Orlovski, S.A. (eds) Optimization Models Using Fuzzy Sets and Possibility Theory. Theory and Decision Library, vol 4. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-3869-4_1
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DOI: https://doi.org/10.1007/978-94-009-3869-4_1
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