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 116
Definition of the relation “ syndromes to general diseases ” YG ; E F ( Y → G 1 4 The fuzzy relation YG shows the degree of relevance of syndromes Y to different general diseases G. The aim of this fuzzy relation is to identify the ...
Definition of the relation “ syndromes to general diseases ” YG ; E F ( Y → G 1 4 The fuzzy relation YG shows the degree of relevance of syndromes Y to different general diseases G. The aim of this fuzzy relation is to identify the ...
Page 397
Figure 13.12a shows the attractor of computational process symbol 1 and Figure 13.12b shows the attractor of computational ... Figure 13.12c , d , and e show the relations of x versus ř , y versus ỹ , and z versus ž , respectively .
Figure 13.12a shows the attractor of computational process symbol 1 and Figure 13.12b shows the attractor of computational ... Figure 13.12c , d , and e show the relations of x versus ř , y versus ỹ , and z versus ž , respectively .
Page 399
Figure 13.13b and c show plots of ñ versus fi ( x , y ) and ŷ versus f2 ( x , y ) , respectively . Observe that the linear GS transformation is true . Figure 13.13d shows a plot of 7 versus z . To show the difference between GS and ...
Figure 13.13b and c show plots of ñ versus fi ( x , y ) and ŷ versus f2 ( x , y ) , respectively . Observe that the linear GS transformation is true . Figure 13.13d shows a plot of 7 versus z . To show the difference between GS and ...
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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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Common terms and phrases
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
Bibliographic information
| Title | Computing with Words Volume 3 of Wiley Series on Intelligent Systems |
| Editor | Paul P. Wang |
| Edition | illustrated |
| Publisher | Wiley, 2001 |
| Original from | the University of Michigan |
| Digitized | 20 Nov 2007 |
| ISBN | 0471353744, 9780471353744 |
| Length | 466 pages |
| Export Citation | BiBTeX EndNote RefMan |