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 180
Although on first sight these points appear to be symbolic meaning representations , it is worth mentioning here again that in fact each such point is determined by a fuzzy set or value distribution of pairs of word type and numerical ...
Although on first sight these points appear to be symbolic meaning representations , it is worth mentioning here again that in fact each such point is determined by a fuzzy set or value distribution of pairs of word type and numerical ...
Page 195
37 Apparently , although the DDS algorithm can simply be characterized as a greedy , encapsulated minimal spanning tree ( MST ) generating procedure [ 34 ] which consumes all meaning points Zn E ( S , 5 ) , this encapsulation serves a ...
37 Apparently , although the DDS algorithm can simply be characterized as a greedy , encapsulated minimal spanning tree ( MST ) generating procedure [ 34 ] which consumes all meaning points Zn E ( S , 5 ) , this encapsulation serves a ...
Page 384
Since m ( t ) has a 1000 - point bit duration , the center region is chosen as the central 800 points . ... We simply move a 50 - point window along the corresponding regions and average all samples to get the verb models , as shown in ...
Since m ( t ) has a 1000 - point bit duration , the center region is chosen as the central 800 points . ... We simply move a 50 - point window along the corresponding regions and average all samples to get the verb models , as shown in ...
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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 |