| slovo | definícia |
fuzzy
(mass) | fuzzy
- konfúzny, nejasný, neostrý, zmätený, nejasný |
fuzzy
(encz) | fuzzy,chmýřovitý adj: Zdeněk Brož |
fuzzy
(encz) | fuzzy,chomáčkovitý adj: Zdeněk Brož |
fuzzy
(encz) | fuzzy,konfuzní adj: Zdeněk Brož |
fuzzy
(encz) | fuzzy,mlhavý adj: |
fuzzy
(encz) | fuzzy,nakadeřený adj: Zdeněk Brož |
fuzzy
(encz) | fuzzy,nejasný adj: |
fuzzy
(encz) | fuzzy,neostrý adj: Zdeněk Brož |
fuzzy
(encz) | fuzzy,rozmazaný adj: Zdeněk Brož |
fuzzy
(encz) | fuzzy,zmatený adj: Zdeněk Brož |
Fuzzy
(gcide) | Fuzzy \Fuzz"y\, a. [See Fuzz, n.]
1. Not firmly woven; that ravels. [Written also fozy.]
[Prov. Eng.]
[1913 Webster]
2. Furnished with fuzz; having fuzz; like fuzz; as, the fuzzy
skin of a peach.
[1913 Webster] |
fuzzy
(wn) | fuzzy
adj 1: covering with fine light hairs; "his head fuzzed like a
dandelion gone to seed" [syn: fuzzed, fuzzy]
2: indistinct or hazy in outline; "a landscape of blurred
outlines"; "the trees were just blurry shapes" [syn:
bleary, blurred, blurry, foggy, fuzzy, hazy,
muzzy]
3: confused and not coherent; not clearly thought out; "a vague
and fuzzy idea of the world of finance" |
| | podobné slovo | definícia |
fuzzy logic
(encz) | fuzzy logic,fuzzy logika n: fuzzy logic,vícehodnotová logika n: |
fuzzy-britches
(encz) | fuzzy-britches,nahotinka n: [amer.] jose |
fuzzy logika
(czen) | fuzzy logika,fuzzy logicn: |
Fuzzy
(gcide) | Fuzzy \Fuzz"y\, a. [See Fuzz, n.]
1. Not firmly woven; that ravels. [Written also fozy.]
[Prov. Eng.]
[1913 Webster]
2. Furnished with fuzz; having fuzz; like fuzz; as, the fuzzy
skin of a peach.
[1913 Webster] |
fuzzy logic
(wn) | fuzzy logic
n 1: a form of mathematical logic in which truth can assume a
continuum of values between 0 and 1 |
fuzzy computing
(foldoc) | 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: ,
, .
(ftp://ftp.hiof.no/pub/Fuzzy),
(ftp://ntia.its.bldrdoc.gov/pub/fuzzy).
{FAQ
(ftp://rtfm.mit.edu/pub/usenet-by-group/comp.answers/fuzzy-logic)}.
{James Brule, "Fuzzy systems - a tutorial", 1985
(http://life.anu.edu.au/complex_systems/fuzzy.html)}.
{STB Software Catalog
(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].
(1995-02-21)
|
fuzzy logic
(foldoc) | 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: ,
, .
(ftp://ftp.hiof.no/pub/Fuzzy),
(ftp://ntia.its.bldrdoc.gov/pub/fuzzy).
{FAQ
(ftp://rtfm.mit.edu/pub/usenet-by-group/comp.answers/fuzzy-logic)}.
{James Brule, "Fuzzy systems - a tutorial", 1985
(http://life.anu.edu.au/complex_systems/fuzzy.html)}.
{STB Software Catalog
(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].
(1995-02-21)
|
fuzzy subset
(foldoc) | fuzzy subset
membership function
In fuzzy logic, a fuzzy subset F of a set S is defined by a
"membership function" which gives the degree of membership of
each element of S belonging to F.
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