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Cited Fuzzy Logic
Anthropologica, Vol 62(1), 2020, 124-130
Anthropologica, Vol 62(1), 2020, 124-130
Dissertation Abstracts International: Section B: The Sciences and Engineering, Vol 83(3-B), 2022
Title Goes Here, Vol 83(2), 2022
Title Goes Here, Vol 83(2), 2022
Title Goes Here, Vol 83(2), 2022
Title Goes Here, Vol 83(2), 2022
Title Goes Here, Vol 83(2), 2022
Title Goes Here, Vol 83(2), 2022
Title Goes Here, Vol 83(2), 2022
Title Goes Here, Vol 83(2), 2022
Title Goes Here, Vol 83(2), 2022
Title Goes Here, Vol 83(2), 2022
Title Goes Here, Vol 83(2), 2022
Title Goes Here, Vol 83(2), 2022
Title Goes Here, Vol 83(2), 2022
Title Goes Here, Vol 83(2), 2022
Title Goes Here, Vol 83(2), 2022
Title Goes Here, Vol 83(2), 2022
Title Goes Here, Vol 83(2), 2022
Information Fuzzy Logic
Scope Note
A logic-based knowledge representation scheme founded on the axiom that set membership is based on a probability distribution (as opposed to traditional set theory, in which an element is either in a set or not in that set). An example of fuzzy logic is that a certain person can be a member of the set of tall people with 75% confidence and also be a member of the set of short people with 5% confidence. Fuzzy logic also breaks the assumption of the excluded middle in philosophy, in that an element can be a member of both a set and the opposite of that set at the same time. Fuzzy logic is often used to support the design of expert systems as well as to control algorithms. [first proposed in 1965 by Romanian-born computer engineer Lotfi A. Zadeh (1921– )]