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Research Centre
Data - Algorithms - Decision Making
Data - Algorithms - Decision Making
Established in 2005 under support of MŠMT ČR (project 1M0572)
Publications
Discovering Linguistic Associations from Numerical Data.
Typ:
Research report
Authors:
Article number:
Research report No 88 -
Publisher:
ÚVAFM OU
Serie:
Ostrava
Year:
2005
Pages:
33
URL (www page):
Anotation:
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.