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Elements of Fuzzy Set Theory

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Part of the book series: IFSR International Series on Systems Science and Engineering ((IFSR,volume 31))

Abstract

The notion of fuzziness lies at the core of fuzzy computability theory. Thus, one should have a basic understanding of the ideas involved. This chapter serves both as a crash course in fuzzy set theory, for those readers that have no previous knowledge of the concepts involved, and as a précis of fuzzy set theory, for those readers familiar with the relevant notions. The exposition that follows is based on [75], while the material for Sect. 3.1 is borrowed from [49, 137].

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Notes

  1. 1.

    Recall that an equivalence relation R on a set X is a subset of X ×X (i.e., R ⊆ X ×X) such that \(a R a\) for all \(a \in X\), \(a R b\) implies \(b R a\) for all a, b ∈ X, and \(a R b\) and \(b R c\) imply \(a R c\) for all a, b, c ∈ X.

References

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Syropoulos, A. (2014). Elements of Fuzzy Set Theory. In: Theory of Fuzzy Computation. IFSR International Series on Systems Science and Engineering, vol 31. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8379-3_3

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