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 74
The results of interpretation depend on the totality of the world presented at each resolution ( granularity , scale ) . In the world of a particular granularity , the vocabulary a is frequently interpreted in a different way than at ...
The results of interpretation depend on the totality of the world presented at each resolution ( granularity , scale ) . In the world of a particular granularity , the vocabulary a is frequently interpreted in a different way than at ...
Page 78
... a person to scan large volumes of text ( corpora ) efficiently and end up with a discovery of 3 4 Presented by Alexander M. Meystel in [ 27 ] , Chapter 4 , and partially in Chapter 11 . Presented by Burghard B. Rieger in Chapter 5 .
... a person to scan large volumes of text ( corpora ) efficiently and end up with a discovery of 3 4 Presented by Alexander M. Meystel in [ 27 ] , Chapter 4 , and partially in Chapter 11 . Presented by Burghard B. Rieger in Chapter 5 .
Page 81
The results presented in this chapter are very timely because they are applicable to information handling in a distributed intelligent agent model on the Internet . The authors have worked out an example in sufficient detail to show how ...
The results presented in this chapter are very timely because they are applicable to information handling in a distributed intelligent agent model on the Internet . The authors have worked out an example in sufficient detail to show how ...
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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 |