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 239
The representation bearer of a mental representation is a computational structure or process , considered purely formally . R2.2 . Representational content . Mental representations have a number of semantic properties .
The representation bearer of a mental representation is a computational structure or process , considered purely formally . R2.2 . Representational content . Mental representations have a number of semantic properties .
Page 269
In the levels considered ( 3-4 and 2–3 ) , there are two main flows where the weighted information to be aggregated appears . Such flows are represented in Figure 8.5 , where the elements related to a single - user have been considered ...
In the levels considered ( 3-4 and 2–3 ) , there are two main flows where the weighted information to be aggregated appears . Such flows are represented in Figure 8.5 , where the elements related to a single - user have been considered ...
Page 343
At any moment in time , a level of resolution can be determined for which the time interval exceeds the operational time of interest , and thus a single directional operational flow can be considered from knowledge representation to ...
At any moment in time , a level of resolution can be determined for which the time interval exceeds the operational time of interest , and thus a single directional operational flow can be considered from knowledge representation to ...
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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