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 16
1.4 MATHEMATICAL MODELING OF NATURAL LANGUAGE USING FUZZY MATHEMATICS a Zadeh is well known as the founding father of fuzzy logic . However , his CW theory is much more fundamental because of its connection to language theory .
1.4 MATHEMATICAL MODELING OF NATURAL LANGUAGE USING FUZZY MATHEMATICS a Zadeh is well known as the founding father of fuzzy logic . However , his CW theory is much more fundamental because of its connection to language theory .
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As John Holland has remarked , the desired mathematical model is like a political cartoon — the salient feature should be enhanced . He also noted that the trademark of a good mathematical model is being able to put out more than you ...
As John Holland has remarked , the desired mathematical model is like a political cartoon — the salient feature should be enhanced . He also noted that the trademark of a good mathematical model is being able to put out more than you ...
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1.14 GRANULARITY , CW , AND MULTIPLE RESOLUTION DYNAMIC SYSTEMS For many years it has been widely recognized that mathematical modeling for a dynamic system is not unique and subject to error . The total error can be further aggravated ...
1.14 GRANULARITY , CW , AND MULTIPLE RESOLUTION DYNAMIC SYSTEMS For many years it has been widely recognized that mathematical modeling for a dynamic system is not unique and subject to error . The total error can be further aggravated ...
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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