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 217
A rule with one rule entity suffices . Rules with more entities are too specific and will lower the performance . For example , in Figure 6.2 , by removing the second , fourth , sixth , and seventh entities , the most specific rule ...
A rule with one rule entity suffices . Rules with more entities are too specific and will lower the performance . For example , in Figure 6.2 , by removing the second , fourth , sixth , and seventh entities , the most specific rule ...
Page 219
Predefine N , the maximum number of entities allowed in the rule . 2. For each target phrase in the training sentence , based on the important phrases in the sentence , generate all combinations rules with number of entities from 1 to N ...
Predefine N , the maximum number of entities allowed in the rule . 2. For each target phrase in the training sentence , based on the important phrases in the sentence , generate all combinations rules with number of entities from 1 to N ...
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100 SAL CON COM 80 POS SKI 60 EXP BEN F - measure ( % ) one entity rules two entity rules three entity rules all rules 40 LOC 20 0 FIGURE 6.7 . F - measure on single fact extraction in pure syntactic generalization . entities .
100 SAL CON COM 80 POS SKI 60 EXP BEN F - measure ( % ) one entity rules two entity rules three entity rules all rules 40 LOC 20 0 FIGURE 6.7 . F - measure on single fact extraction in pure syntactic generalization . entities .
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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 |