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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