Computing with WordsPaul P. Wang Wiley, 2001 M04 30 - 466 pages Fuzzy 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
... shows the degree of relevance of syndromes Y to different general diseases G. The aim of this fuzzy relation is to identify the general diseases of the patient . There is a separate relation for each body system . • Definition of the ...
... shows the degree of relevance of syndromes Y to different general diseases G. The aim of this fuzzy relation is to identify the general diseases of the patient . There is a separate relation for each body system . • Definition of the ...
Page 397
... shows the attractor of computational process symbol 1 and Figure 13.12b shows the attractor of computational process symbol 2. Observe that the attractor of com- putational process symbol 2 is a scaled version of that of computational ...
... shows the attractor of computational process symbol 1 and Figure 13.12b shows the attractor of computational process symbol 2. Observe that the attractor of com- putational process symbol 2 is a scaled version of that of computational ...
Page 399
... show plots of x versus fi ( x , y ) and ỹ versus f2 ( x , y ) , respectively . Observe that the linear GS transfor- mation is true . Figure 13.13d shows a plot of ž versus z . To show the difference between GS and identical ...
... show plots of x versus fi ( x , y ) and ỹ versus f2 ( x , y ) , respectively . Observe that the linear GS transfor- mation is true . Figure 13.13d shows a plot of ž versus z . To show the difference between GS and identical ...
Contents
MEYSTEL Department of Electrical and Computer Engineering | 1 |
FROM COMPUTING WITH NUMBERS TO COMPUTING WITH | 32 |
THE PROBLEMS | 69 |
Copyright | |
13 other sections not shown
Common terms and phrases
adverbs agents aggregation algorithms analysis applications approach artificial intelligence Bandler basic BK-products body systems Clinaid cognitive linguistic cognitive sciences complex computational semiotics computational verb computing with words concept constraint propagation context coreference crisp decision defined Definition domain dynamic entities environment example expressed extraction FDNF Figure formal front end fuzzy constraint fuzzy graph fuzzy information granulation fuzzy logic fuzzy relations Fuzzy Sets Syst grammar granularity human identified IEEE important inference input intelligent systems interpretation knowledge representation L. A. Zadeh L. J. Kohout labels language discourse linear linguistic terms linguistic variable mathematical meaning natural language processing neural objects operator perceptions performance phrase precision predicate principle problem Proc procedures propositions query reasoning relational computations relational structures represented rules SCIP Section semantic semiotic descriptors sentence specific syntactic texts theory tion truth tables ural language values WordNet