Abstract
Certain theoretical aspects of fuzzy decision trees and their applications are discussed. The main result is a branch-bound-backtrack algorithm which, by means of pruning subtrees unlikely to be traversed and installing tree-traversal pointers, has an effective backtracking mechanism leading to the optimal solution while still requiring usually only O(log n) time, where n is the number of decision classes.
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