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 105
... example , an LPT cover plate may appear in the context of an ingot process , for- ging process , extrusion process , or other process . In medical diagnostics contexts may be different body systems , for example ( see Section 4.7.2 for ...
... example , an LPT cover plate may appear in the context of an ingot process , for- ging process , extrusion process , or other process . In medical diagnostics contexts may be different body systems , for example ( see Section 4.7.2 for ...
Page 211
... example , the word bank in the example refers to a finan- cial institution and not to the edge of a river . Any pattern designed to select financial institutions runs the risk of firing on river banks unless a mechanism is included to ...
... example , the word bank in the example refers to a finan- cial institution and not to the edge of a river . Any pattern designed to select financial institutions runs the risk of firing on river banks unless a mechanism is included to ...
Page 218
... Example of permutation rules . paraphrases . Rules created by the permutation function are named permutation rules . For example , the permutation function can generate rules in Figure 6.4 by reordering rule entities in Figure 6.3 ...
... Example of permutation rules . paraphrases . Rules created by the permutation function are named permutation rules . For example , the permutation function can generate rules in Figure 6.4 by reordering rule entities in Figure 6.3 ...
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