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Lotfi Zadeh

proper noun/LOT-fee ZAH-deh/Also: Lotfi A. Zadeh, Lotfi Aliasker Zadeh

In plain wordsAn Azerbaijani-born American engineer who invented fuzzy logic, which lets computers reason with vague categories such as 'warm' or 'tall' that are true only to a degree.

  1. Azerbaijani-born American mathematician and electrical engineer at the University of California, Berkeley, from 1959, the founder of fuzzy logicfuzzy logic, n.: A kind of logic that allows degrees of truth, so a statement like 'the room is warm' can be 70 percent true, which helps machines handle vague everyday categories.. Raised in Iran and educated at the University of Tehran, MIT and Columbia University, he first worked in systems theory, co-writing a standard text on the state-space approach to linear systems (1963). His paper 'Fuzzy Sets' (1965) replaced the all-or-nothing membership of classical sets with degrees of membership between 0 and 1, and in the 1970s he built on it linguistic variables, fuzzy if–then rules and possibility theory. Initially derided by many engineers and statisticians, fuzzy methods spread in control systems, notably in Japanese trains, cameras and appliances from the late 1980s. In the early 1990s he promoted soft computingsoft computing, n.: A group of computing methods, including fuzzy logic, neural networks and evolutionary algorithms, that accept imprecise, approximate answers in exchange for being practical on messy real-world problems. as the combination of fuzzy logic, neural networks and evolutionary methods. Honors include the IEEE Medal of Honor (1995).

Related

See also
  • fuzzy logicfuzzy logic, n.: A kind of logic that allows degrees of truth, so a statement like 'the room is warm' can be 70 percent true, which helps machines handle vague everyday categories.
  • soft computingsoft computing, n.: A group of computing methods, including fuzzy logic, neural networks and evolutionary algorithms, that accept imprecise, approximate answers in exchange for being practical on messy real-world problems.
  • computational intelligencecomputational intelligence, n.: A family of AI methods inspired by nature, such as neural networks, fuzzy logic and evolutionary algorithms, that learn or adapt from numbers rather than following explicit logical rules.
  • rule-based systemrule-based system, n.: A computer system that makes decisions by following a list of 'if… then…' rules written by people, rather than by learning from examples.
  • genetic algorithmgenetic algorithm, n.: A problem-solving method that copies natural evolution: many candidate solutions compete, the best are 'bred' by mixing and randomly tweaking them, and over many generations the solutions improve.

Sources

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