Utilizing Fuzzy Decision Trees in Decision Making
2011 ◽
pp. 1175-1180
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The seminal work of Zadeh (1965), fuzzy set theory (FST) has developed into a methodology fundamental to analysis that incorporates vagueness and ambiguity. With respect to the area of data mining, it endeavours to find potentially meaningful patterns from data (Hu & Tzeng, 2003). This includes the construction of if-then decision rule systems, which attempt a level of inherent interpretability to the antecedents and consequents identified for object classification (and prediction), (see Breiman 2001).
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2011 ◽
pp. 2024-2030
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2019 ◽
Vol 8
(1)
◽
pp. 37-42
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2019 ◽
Vol 56
(4)
◽
pp. 57-67
2015 ◽
Vol 5
(1)
◽
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2011 ◽
pp. 246-269
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