Computing with WordsFuzzy logic refers to a computer's ability to make decisions involving "grey" or "fuzzy" areas. As linguistics contains numerous "grey" areas, computing with words through the use of fuzzy logic is an extremely hot topic in database and Internet research. This book explores the state of the art in linguistic computation, discussing how current research findings are extending the application of fuzzy logic beyond control engineering and intelligent systems into the use of language on a computer. Fuzzy logic pioneer, Dr. Lofti Zadeh, provides the introduction for this thought-provoking work. |
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Page 41
perceptions Dana is young Tandy is a few years older than Dana Tandy is ( young + few ) years old perceptions most students are young most young students are single most students are single perceptiona box contains balls of various ...
perceptions Dana is young Tandy is a few years older than Dana Tandy is ( young + few ) years old perceptions most students are young most young students are single most students are single perceptiona box contains balls of various ...
Page 65
Underlying this remarkable capability is the brain's crucial ability to manipulate perceptions — perceptions of distance , size , weight , force , color , numbers , likelihood , truth and other characteristics of physical and mental ...
Underlying this remarkable capability is the brain's crucial ability to manipulate perceptions — perceptions of distance , size , weight , force , color , numbers , likelihood , truth and other characteristics of physical and mental ...
Page 246
What is needed is a methodology for reasoning and computing with perceptions rather than measurements . This is provided by Zadeh's [ 27 ] computational theory of perceptions ( CTP ) , which is briefly discussed in the next section . a ...
What is needed is a methodology for reasoning and computing with perceptions rather than measurements . This is provided by Zadeh's [ 27 ] computational theory of perceptions ( CTP ) , which is briefly discussed in the next section . a ...
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Contents
FROM COMPUTING WITH NUMBERS TO COMPUTING WITH | 32 |
THE PROBLEMS | 69 |
GRANULAR RELATIONAL COMPUTING WITH SEMIOTIC | 85 |
Copyright | |
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according adverbs agents algorithms allow analysis applications approach basic called chaotic cognitive communication complex computing with words concept considered constraints context corresponding decision defined Definition described domain dynamic elements entities environment equality example expert expressed extraction Figure formal function fuzzy logic fuzzy relations fuzzy set given granularity granulation human identified important inference intelligent internal interpretation knowledge learning linguistic mathematical meaning methods modified natural language objects observed operator particular perceptions performance phrase points possible precision presented principle probability problem procedures properties propositions query Question reasoning reference representation represented respectively rules semantic semiotic sense sentence shown shows signal situations space specific speech structures symbols Syst t-norms Table texts theory tion truth understanding University values variables verb weighted Zadeh