Abstract
The paper elaborates on the methodology and practice of the development of fuzzy systems (models). We re-examine some standard schemes of their life cycle (such as e.g., a waterfall model) and identify their efficacies emerging in the context of processing fuzzy information. Finally, the study reports on a series of design platforms whose analysis is completed in light of the main design features of fuzzy systems
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References
B. I. Blum (1992). Software Engineering. A Holistic View, Oxford University Press, N. York, Oxford.
B. W. Boehm (1975). Software engineering, IEEE Trans. on Computers, C-25, 1226-1241.
R. Kruse, J. Gebhardt, F. Klawonn (1994). Foundations of Fuzzy Systems, J. Wiley, Chichester.
W. Pedrycz (1995). Fuzzy Sets Engineering, CRC Press, Boca Raton, Fl.
H. J. Zimmermann (1991). Fuzzy Set Theory and Its Applications, 2nd edition, Kluwer Academic Publishers, Boston.
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© 1999 Springer Science+Business Media New York
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Pedrycz, W. (1999). Fuzzy System Development: Software Methodology and Design Tools. In: Zimmermann, HJ. (eds) Practical Applications of Fuzzy Technologies. The Handbooks of Fuzzy Sets Series, vol 6. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4601-6_19
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DOI: https://doi.org/10.1007/978-1-4615-4601-6_19
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-7079-6
Online ISBN: 978-1-4615-4601-6
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