Interpreting GUHA Data Mining Logic in Paraconsistent Fuzzy Logic Framework

Authors:
Esko Turunen
Affiliations:
Tampere University of Technology, Finland
Venue:
ADT '09 Proceedings of the 1st International Conference on Algorithmic Decision Theory
Year:
2009

Citing 6
Cited 0

Mining association rules between sets of items in large databases

SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Fuzzy hypotheses for GUHA implications

Fuzzy Sets and Systems
Mining for 4ft Association Rules

DS '00 Proceedings of the Third International Conference on Discovery Science
Modelling uncertain positive and negative reasons in decision aiding

Decision Support Systems
Mining pure linguistic associations from numerical data

International Journal of Approximate Reasoning
A Para Consistent Fuzzy Logic

ICLA '09 Proceedings of the 3rd Indian Conference on Logic and Its Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

A natural interpretation of GUHA style data mining logic in paraconsistent fuzzy logic framework is introduced. Significance of this interpretation is discussed.