fuzzy decision tree (fdt) classifiers combine decision trees with approximate reasoning offered by fuzzy representation to deal with language and measurement uncertainties. when a fdt induction algorithm utilizes stopping criteria for early stopping of the tree's growth, threshold values of stopping criteria will control the number of nodes. finding a proper threshold value for a stopping crite...

The linguistic terms used to describe the qualitative data in problems are symmetrical about central word. With increasing complexity and a large number of DMs with different domain expertise involved decision-making, symmetric term set seems constricted. This paper examines multiple-criteria group decision-making which decision-makers use unbalanced 2-tuple alternative–criteria assessments mat...