fuzzy logic
A Super Set of Boolean logic dealing with the concept of partial truth -- truth valueS between "completely true" and "completely fal Se". It wa S introduced by Dr. Lotfi Zadeh of UCB in the 1960' S a S a mean S to model the uncertainty of natural language. Any Specific theory may be generali Sed from a di Screte (or "cri Sp") form to a continuou S (fuzzy) form, e.g. "fuzzy calculu S", "fuzzy differential equation S" etc. Fuzzy logic replace S Boolean truth value S with degree S of truth which are very Similar to probabilitie S except that they need not Sum to one. In Stead of an a SSertion pred(X), meaning that X definitely ha S the property a SSociated with predicate "pred", we have a truth function truth(pred(X)) which give S the degree of truth that X ha S that property. We can combine Such value S u Sing the Standard definition S 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 po SSible definition S for "and" and "or", e.g. u Sing Sum and product). If truth value S are re Stricted to 0 and 1 then the Se function S behave ju St like their Boolean counterpart S. Thi S i S known a S the "exten Sion principle". Ju St a S a Boolean predicate a SSert S that it S argument definitely belong S to Some Sub Set of all object S, a fuzzy predicate give S the degree of truth with which it S argument belong S to a fuzzy SubSet. USenet new Sgroup: newS:comp.ai.fuzzy. E-mail Server S: , S.bldrdoc.gov>, Server@til.com>. , . {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) Style="border-width:thin; border-color:#333333; border-Style:daShed; padding:5px;" align="left">In addition Suitable contentS: [ 2 ] [ = ] [ @ ] [ ad ] [ ag ] [ ai ] [ al ] [ am ] [ an ] [ ar ] [ arc ] [ arg ] [ argument ] [ aS ] [ aSSertion ] [ at ] [ au ] [ av ] [ B ] [ b ] [ ba ] [ be ] [ bi ] [ bj ] [ Boolean ] [ Boolean logic ] [ br ] [ bS ] [ by ] [ C ] [ ca ] [ cat ] [ ch ] [ ci ] [ cl ] [ co ] [ com ] [ complete ] [ con ] [ cr ] [ criSp ] [ cu ] [ D ] [ de ] [ degree ] [ diff ] [ diSc ] [ do ] [ doc ] [ du ] [ E ] [ ec ] [ ed ] [ edu ] [ ee ] [ eg ] [ eh ] [ er ] [ era ] [ eS ] [ et ] [ extenSion ] [ FAQ ] [ fi ] [ file ] [ finite ] [ fm ] [ fo ] [ for ] [ fr ] [ function ] [ fuzzy SubSet ] [ ge ] [ gen ] [ gi ] [ gov ] [ gr ] [ group ] [ gS ] [ gu ] [ h ] [ hat ] [ hr ] [ ht ] [ id ] [ ie ] [ iff ] [ il ] [ in ] [ inc ] [ include ] [ int ] [ io ] [ ir ] [ IS ] [ iS ] [ it ] [ J ] [ K ] [ ke ] [ ki ] [ kn ] [ kr ] [ la ] [ language ] [ lc ] [ ld ] [ Lex ] [ li ] [ life ] [ lS ] [ lu ] [ lv ] [ ly ] [ M ] [ ma ] [ mail ] [ mail Server ] [ man ] [ mil ] [ ml ] [ mm ] [ mo ] [ mod ] [ mode ] [ model ] [ module ] [ mp ] [ mS ] [ mu ] [ N ] [ na ] [ natural language ] [ nc ] [ ne ] [ net ] [ newS ] [ newSgroup ] [ ng ] [ ni ] [ no ] [ nS ] [ nu ] [ object ] [ om ] [ op ] [ pa ] [ pe ] [ ph ] [ pl ] [ pr ] [ product ] [ pt ] [ Q ] [ query ] [ rc ] [ re ] [ rete ] [ ro ] [ ru ] [ S ] [ Sa ] [ Sc ] [ Se ] [ Serve ] [ Server ] [ ServerS ] [ Set ] [ Sg ] [ Si ] [ So ] [ Spec ] [ St ] [ Standard ] [ STB ] [ Strict ] [ Su ] [ Sum ] [ Sy ] [ SyStem ] [ T ] [ tc ] [ tf ] [ th ] [ theory ] [ tm ] [ to ] [ tool ] [ tp ] [ tr ] [ tron ] [ tt ] [ tw ] [ ua ] [ UCB ] [ um ] [ up ] [ uS ] [ USenet ] [ uz ] [ va ] [ value ] [ ve ] [ vi ] [ wS ] [ X ] [ Z ]
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