Dominance-based Rough Set Approach (DRSA) has been proposed to deal with multi-criteria classification problems, where data may be inconsistent with respect to the dominance principle. In this paper, we consider different measures of the quality of approximation, which is the value indicating how much inconsistent the decision table is. We begin with the classical definition, based on the relat...

In optimal planning as heuristic search, admissible pruning techniques are paramount. One idea is dominance pruning, identifying states “better than” other states. Prior approaches are limited to simple dominance notions, like “more STRIPS facts true” or “higher resource supply”. We apply simulation, well-known in model checking, to compute much more general dominance relations based on compari...

To achieve sustainable human-agent interaction (HAI), we proposed a new model of intrinsically motivated adaptive agent, which learns about the human partner and behaves to satisfy its intrinsic motivation. To investigate the model’s effectiveness, we conducted a comparative HAI experiment with a simple interaction setting. The results showed that the model was effective in inducing subjective ...

This study compares the relative role of impression management tactics and the other form of supervisor–subordinate guanxi (s–s g) in predicting supervisor-rated employee performance. Empirical data were collected from 175 supervisor-subordinate dyads working full-time in Taiwanese organisations. Specifically, this study uses the Dominance-based Rough Set Approach (DRSA) to formulate employee s...

Dominance-based Rough Set Approach (DRSA) has been proposed to deal with multi-criteria classification problems, where data may be inconsistent with respect to the dominance principle. However, in real-life datasets, in the presence of noise, the notions of lower and upper approximations handling inconsistencies were found to be excessively restrictive which led to the proposal of the variable ...