Definition
A fuzzy set is a function A: U → L where U is an ordinary set of elements called universe and L is a scale which is usually supposed to have the structure of a residuated lattice (see “Residuated Lattice”). The function A is at the same time called also membership function, i.e., fuzzy set is identified with its membership function.
If x ∈ U is an element then A(x) ∈ L is a membership degree of x in the fuzzy set A. It can also be interpreted as a degree of truth of the fact that the element x belongs to the fuzzy set A. If U is a universe and A a fuzzy set then it is convenient to write A ⫇ U.
Key Points
Fuzzy sets can be explicitly written in the form
where a ∈ L is a membership degree of an element u ∈ U.
Given a residuated lattice (see “Residuated Lattice”) as the structure of truth values, the basic operations with fuzzy sets can be defined as follows:
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Recommended Reading
Klir GJ, Yuan B. Fuzzy sets and fuzzy logic: theory and applications. New York: Prentice-Hall; 1995.
Novák V. Fuzzy sets and their applications. Bristol: Adam Hilger; 1989.
Novák V, Perfilieva I, Močkoř J. Mathematical principles of fuzzy logic. Boston/Dordrecht: Kluwer; 1999.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Science+Business Media, LLC, part of Springer Nature
About this entry
Cite this entry
Novák, V. (2018). Fuzzy Set. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_5008
Download citation
DOI: https://doi.org/10.1007/978-1-4614-8265-9_5008
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-8266-6
Online ISBN: 978-1-4614-8265-9
eBook Packages: Computer ScienceReference Module Computer Science and Engineering