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15 Νοε 2016 · Fuzzy logic emerged in the context of the theory of fuzzy sets, introduced by Lotfi Zadeh (1965). A fuzzy set assigns a degree of membership, typically a real number from the interval \ ( [0,1]\), to elements of a universe. Fuzzy logic arises by assigning degrees of truth to propositions.
- Bibliography Sorted by Topic - Stanford Encyclopedia of Philosophy
Cintula, Petr and Carles Noguera, 2011, “A General Framework...
- Bibliography Sorted by Topic - Stanford Encyclopedia of Philosophy
15 Νοε 2016 · This entry focuses on fuzzy logic in a narrow sense, established as a discipline of mathematical logic following the seminal monograph by Petr Hájek (1998) and nowadays usually referred to as “mathematical fuzzy logic” (see Cintula, Fermüller, Hájek, & Noguera 2011 and 2015).
5 Μαΐ 2021 · Fuzzy logic arises from an attempt to manage the inherent vagueness there is in the language we use when discussing our world—it is a formal treatment of vague predicates. This chapter will describe how this formal structure has come about, from origins in...
It then briefly examines the early research on many-valued logics during the first half the twentieth century, and describes in some detail circumstances that led to the emergence of fuzzy set theory and fuzzy logic in the mid-1960s.
VAGUE IDENTI1Y AND FUZZY LOGIC* I. surdity the assumption that some identity-any identity-is indeterminate, or so he claimed. His notation "allow[s] for th. expression of the idea of inde. \l(a = b) ~x[\l (x = a)] b from (1) -\lea = a) axIOm. -~x[\l(x = a)]a from (3) a =F b from (2) and (4) by Leibniz's Law.
Fuzzy logic is a branch of machine intelligence that helps computers paint gray, commonsense pictures of an un-certain world. Logicians in the 1920s Þrst broached its key concept: every-thing is a matter of degree. Fuzzy logic manipulates such vague concepts as ÒwarmÓ or Òstill dirtyÓ and so helps engineers to build air condition-
25 Μαΐ 2017 · The book examines from the historical perspective two areas of research on fuzzy logic known as fuzzy logic in the narrow sense (FLN) and fuzzy logic in the broad sense (FLB), which have distinct research agendas.
