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 92
relations , and degrees of truth in propositions . All four characteristics are extremely important in the context of the computing with words by means of granular structures . 1. Fuzzy sets and logics possess far greater capability to ...
relations , and degrees of truth in propositions . All four characteristics are extremely important in the context of the computing with words by means of granular structures . 1. Fuzzy sets and logics possess far greater capability to ...
Page 131
Knowledge Base of Fuzzy Relational Structures . The front end serves as a shell that contains none of the knowledge base fuzzy relations that are used for relational computations by means of linguistic query interrogations .
Knowledge Base of Fuzzy Relational Structures . The front end serves as a shell that contains none of the knowledge base fuzzy relations that are used for relational computations by means of linguistic query interrogations .
Page 141
W. Bandler and L. J. Kohout , Special properties , closures and interiors of crisp and fuzzy relations , Fuzzy Sets Syst . , 26 ( 3 ) : 317–332 , June 1988 . 12. W. Bandler and L. J. Kohout , Universal construction of fuzzy preorders by ...
W. Bandler and L. J. Kohout , Special properties , closures and interiors of crisp and fuzzy relations , Fuzzy Sets Syst . , 26 ( 3 ) : 317–332 , June 1988 . 12. W. Bandler and L. J. Kohout , Universal construction of fuzzy preorders by ...
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Contents
FROM COMPUTING WITH NUMBERS TO COMPUTING WITH | 32 |
THE PROBLEMS | 69 |
GRANULAR RELATIONAL COMPUTING WITH SEMIOTIC | 85 |
Copyright | |
8 other sections not shown
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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 |