Fuzzy logic

A "fuzzy set" is a category or a class which is not - as in traditional classification  - defined by attributing all elements identical properties. In Fuzzy set theory precise defined criteria for class inclusion are substituted with criteria without precise definitions and overlapping classes. 

 

The opposite of a fuzzy set is termed "an ordinary set". In fuzzy-set theory it is not the case whether or not an element is a member of a class but to which degree this is the case. 
 

Fuzzy string matching may identify words with similar spelling. A fuzzy search operator can be helpful in finding word variants or misspellings in a database, for example, the result of typographical mistakes or errors during OCR (optical character recognition) processing. 

 

 

 

Literature:

 

Bookstein, A. (1986). Probability and fuzzy-set application to information retrieval. Annual Review of Information Science and Technology, 29, 117-151.
 

Hajek, P. (2002). Fuzzy logic. The Stanford Encyclopedia of Philosophy (Fall 2002 Edition), Edward N. Zalta (ed.). http://plato.stanford.edu/archives/fall2002/entries/logic-fuzzy/

 

Wikipedia, the free encyclopedia. Fuzzy logic. http://en.wikipedia.org/wiki/Fuzzy_logic

 

 

See also: Logic

 

 

 

Birger Hjørland

Last edited: 26-04-2006

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