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1 definition found
 for fuzzy computing
From The Free On-line Dictionary of Computing (30 December 2018) :

  fuzzy logic
  fuzzy computing
     A superset of Boolean logic dealing with the concept of
     partial truth -- truth values between "completely true" and
     "completely false".  It was introduced by Dr. Lotfi Zadeh of
     UCB in the 1960's as a means to model the uncertainty of
     natural language.
     Any specific theory may be generalised from a discrete (or
     "crisp") form to a continuous (fuzzy) form, e.g. "fuzzy
     calculus", "fuzzy differential equations" etc.  Fuzzy logic
     replaces Boolean truth values with degrees of truth which are
     very similar to probabilities except that they need not sum to
     one.  Instead of an assertion pred(X), meaning that X
     definitely has the property associated with predicate
     "pred", we have a truth function truth(pred(X)) which gives
     the degree of truth that X has that property.  We can combine
     such values using the standard definitions of fuzzy logic:
     	truth(not x)   = 1.0 - truth(x)
     	truth(x and y) = minimum (truth(x), truth(y))
     	truth(x or y)  = maximum (truth(x), truth(y))
     (There are other possible definitions for "and" and "or",
     e.g. using sum and product).  If truth values are restricted to
     0 and 1 then these functions behave just like their Boolean
     counterparts.  This is known as the "extension principle".
     Just as a Boolean predicate asserts that its argument
     definitely belongs to some subset of all objects, a fuzzy
     predicate gives the degree of truth with which its argument
     belongs to a fuzzy subset.
     Usenet newsgroup: news:comp.ai.fuzzy.
     E-mail servers: ,
     , .
     James Brule, "Fuzzy systems - a tutorial", 1985
     STB Software Catalog
     http://krakatoa.jsc.nasa.gov/stb/catalog.html)">(http://krakatoa.jsc.nasa.gov/stb/catalog.html), includes a
     few fuzzy tools.
     [H.J. Zimmerman, "Fuzzy Sets, Decision Making and Expert
     Systems", Kluwer, Dordrecht, 1987].
     ["Fuzzy Logic, State of the Art", Ed. R. Lowen, Marc Roubens,
     Theory and Decision Library, D: System theory, Knowledge
     Engineering and Problem Solving 12, Kluwer, Dordrecht, 1993,
     ISBN 0-7923-2324-6].

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