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Publikace

Discovering Linguistic Associations from Numerical Data.

Typ:
Výzkumná zpráva
Číslo zprávy:
Research report No 88 -
Nakladatel:
ÚVAFM OU
Místo vydání:
Ostrava
Rok:
2005
Strany:
33
Anotace:
This paper contains a method for direct search of associations from numerical data that are expressed in natural language and so, we call them ``linguistic associations''. We have applied three theories: the formal theory of evaluating linguistic expressions, the GUHA method and the F-transform. One of essential outcomes of our theory is high understandability of the found associations because when formulated in natural language they are much closer to the way of thinking of experts from various fields. Moreover, associations characterizing real dependencies can be directly taken as fuzzy IF-THEN rules and used as expert knowledge about the problem.
 
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