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Fuzzy Sets Theory and Uncertainty in Mathematical Modeling

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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 347))

Abstract

This chapter presents a brief discussion about uncertainty based on philosophical principles, mainly from the point of view of the pre-Socratic philosophers. Next, the notions of fuzzy sets and operations on fuzzy sets are presented. Lastly, the concepts of alpha-level and the statement of the well-known Negoita-Ralescu Representation Theorem, the representation of a fuzzy set by its alpha-levels, are discussed.

Man is the measure of all things: of things which are, that they are, and of things which are not, that they are not.

(Protagoras – 5th Century BCE)

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References

  1. L.A. Zadeh, Fuzzy sets. Inf. Control 8, 338–353 (1965)

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  2. B.J. Caraça, Conceitos fundamentais da matemática, 4th edn. (Gradiva Publicações Ltda, Lisboa, 2002)

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  3. C.V. Negoita, D.A. Ralescu, Applications of Fuzzy Sets to Systems Analysis (Wiley, New York, 1975)

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Correspondence to Laécio Carvalho de Barros .

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de Barros, L.C., Bassanezi, R.C., Lodwick, W.A. (2017). Fuzzy Sets Theory and Uncertainty in Mathematical Modeling. In: A First Course in Fuzzy Logic, Fuzzy Dynamical Systems, and Biomathematics. Studies in Fuzziness and Soft Computing, vol 347. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-53324-6_1

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  • DOI: https://doi.org/10.1007/978-3-662-53324-6_1

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-53322-2

  • Online ISBN: 978-3-662-53324-6

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