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Designing decision trees with the use of fuzzy granulation

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2 Author(s)
W. Pedrycz ; Dept. of Electr. & Comput. Eng., Alberta Univ., Edmonton, Alta., Canada ; Z. A. Sosnowski

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:

IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans  (Volume:30 ,  Issue: 2 )