Computing with WordsPaul P. Wang Wiley, 30.04.2001 - 466 Seiten 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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Seite 217
... rule becomes two rules with three entities in Figure 6.3 . Since two target phrases remain and in our convention , each generalized rule corresponds to only one target phrase , two rules are necessary to capture two types of target ...
... rule becomes two rules with three entities in Figure 6.3 . Since two target phrases remain and in our convention , each generalized rule corresponds to only one target phrase , two rules are necessary to capture two types of target ...
Seite 219
... rules generated from the training set and then applies those rules again on the training set . Based on the training examples and a threshold , the system selects useful rules . The relevancy_rate rel ( r ; ) for rule r ; is a fuzzy ...
... rules generated from the training set and then applies those rules again on the training set . Based on the training examples and a threshold , the system selects useful rules . The relevancy_rate rel ( r ; ) for rule r ; is a fuzzy ...
Seite 221
... rules BEN □ two entity rules three entity rules all rules FIGURE 6.7 . F - measure on single fact extraction in pure syntactic generalization . entities . For the target information COMPANY , the rules with three entities perform the ...
... rules BEN □ two entity rules three entity rules all rules FIGURE 6.7 . F - measure on single fact extraction in pure syntactic generalization . entities . For the target information COMPANY , the rules with three entities perform the ...
Inhalt
MEYSTEL Department of Electrical and Computer Engineering | 1 |
FROM COMPUTING WITH NUMBERS TO COMPUTING WITH | 32 |
THE PROBLEMS | 69 |
Urheberrecht | |
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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
Verweise auf dieses Buch
Classification and Modeling with Linguistic Information Granules: Advanced ... Hisao Ishibuchi,Tomoharu Nakashima,Manabu Nii Eingeschränkte Leseprobe - 2004 |
Applied Computational Intelligence: Proceedings of the 6th International ... Da Ruan Keine Leseprobe verfügbar - 2004 |