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Zadeh, L. A. (1965). Fuzzy Sets. Information and Control, 8(3), 338–353.

Zadeh's theory of fuzzy sets extends the classical notion of a set in mathematics.

In classical set theory, the membership of elements in a set is defined in binary terms: an element either belongs or does not belong to the set. Fuzzy set theory allows for gradual membership of a set's elements, described mathematically with membership function valued in the range [0, 1].

Introduced by Zadeh and other scholars in the 1960s, fuzzy set theory has a wide range of practical applications, including but not limited to pattern recognition, robotics, bioinformatics, and social sciences.

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Zadeh (1965)

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Zadeh (1965)

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Zadeh, L. A. (1965). Fuzzy Sets. Information and Control, 8(3), 338–353.

Zadeh's theory of fuzzy sets extends the classical notion of a set in mathematics.

In classical set theory, the membership of elements in a set is defined in binary terms: an element either belongs or does not belong to the set. Fuzzy set theory allows for gradual membership of a set's elements, described mathematically with membership function valued in the range [0, 1].

Introduced by Zadeh and other scholars in the 1960s, fuzzy set theory has a wide range of practical applications, including but not limited to pattern recognition, robotics, bioinformatics, and social sciences.

Citation typeset in King's Caslon. Figure typeset in IBM Plex Sans.

Citations collection image

Important publications in computer science, honored on the blockchain as piece-unique NFTs.

Contract Address0x495f...7b5e
Token ID
Token StandardERC-1155
ChainEthereum
MetadataCentralized
Creator Earnings
10%
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Price
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