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 167
It is this lack of being properly attuned to the semiotic principles underlying natural language understanding systems which prompts cognitive linguists to fall back on situations they are attuned to : namely , natural language ...
It is this lack of being properly attuned to the semiotic principles underlying natural language understanding systems which prompts cognitive linguists to fall back on situations they are attuned to : namely , natural language ...
Page 233
6th Message Understanding Conference ( MUC - 6 ) [ 14 ] , pp . 177–191 . 6. B. Baldwin et al . , Description of the University of Pennsylvania's MUC - 7 System , in Proc . 7th Message Understanding Conference ( MUC - 7 ) ( 15 ) . 7.
6th Message Understanding Conference ( MUC - 6 ) [ 14 ] , pp . 177–191 . 6. B. Baldwin et al . , Description of the University of Pennsylvania's MUC - 7 System , in Proc . 7th Message Understanding Conference ( MUC - 7 ) ( 15 ) . 7.
Page 395
bols cannot be affected by the reader , understanding of the computational process symbols by the reader is a unidirectional synchronizing process . One example of verb equality using unidirectional coupling is as follows . 1.
bols cannot be affected by the reader , understanding of the computational process symbols by the reader is a unidirectional synchronizing process . One example of verb equality using unidirectional coupling is as follows . 1.
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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 |