In this study, we discuss the use of fuzzy sets regarded as a well-rounded algorithmic vehicle in the construction of decision trees. The concept of fuzzy granulation realized via context-based clustering is aimed at the quantization (discretization) of continuous attributes as well as handling continuous classes encountered in classification problems. Two detailed experimental studies are presented concerning well-known data sets available on the Web
Published in:
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
(Volume:30
,
Issue:
2
)
Date of Publication: Mar 2000