GC: n

CT: Fuzzy logic is an approach to computing based on “degrees of truth” rather than the usual “true or false” (1 or 0) Boolean logic on which the modern computer is based. The idea of fuzzy logic was first advanced by Dr. Lotfi Zadeh of the University of California at Berkeley in the 1960s. Dr. Zadeh was working on the problem of computer understanding of natural language. Natural language (like most other activities in life and indeed the universe) is not easily translated into the absolute terms of 0 and 1. (Whether everything is ultimately describable in binary terms is a philosophical question worth pursuing, but in practice much data we might want to feed a computer is in some state in between and so, frequently, are the results of computing.)

S: http://whatis.techtarget.com/definition/fuzzy-logic (last access: 19 December 2014)

N: 1. fuzzy (adj): 1610s, “soft, spongy,” from fuzz + -y. Compare Low German fussig “weak, loose, spongy,” Dutch voos “spongy.” From 1713 as “covered with fuzz;” 1778 as “blurred;” and 1937 as “imprecise,” with reference to thought, etc. Related: Fuzzily; fuzziness.
logic (n):
2. Fuzzy logic is precise reasoning about imprecise concepts.
3. fuzzy logic: term standardized by CSA International and ISO/IEC (International Electrotechnical Commission); term officially approved by the RADARSAT-2 Terminology Approval Group (RTAG).
4. fuzzy-set logic: term standardized by ISO/IEC (International Electrotechnical Commission).
5. fuzzy set logic: term standardized by CSA International.

S: 1. OED – http://www.etymonline.com/index.php?allowed_in_frame=0&search=fuzzy+logic&searchmode=none (last access: 19 December 2014). 2, 3, 4 & 5. TERMIUMPLUS.

SYN: 1. fuzzy set logic. 2. fuzzy logics. 3. fuzzy-set logic.

S: 1. GDT; TERMIUMPLUS. 2. GDT. 3. TERMIUMPLUS.

CR: artificial intelligence, artificial language, computer science, fuzzy system, natural language.