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...

This paper introduces a mechanism for computing approximations of Dominance-Based Rough Sets (DBRS) by bit-vector encodings. DBRS was introduced by Greco et al. as an extension of Pawlak’s classical rough sets theory by using dominance relations in place of equivalence relations for approximating sets of preference ordered decision classes. Our formulation of dominance-based approximation space...

Incremental induction of decision rules within the dominance-based rough set approach to the multicriteria and multiattribute classification is discussed. We introduce an algorithm, called Glance, that incrementally induces a set of all rules from examples. We experimentally evaluate it and compare with two other algorithms, previously proposed for this kind of classification problem.

• On Irreducible Descriptive Sets of Attributes for Information Systems Mikhail Moshkov, Andrzej Skowron, Zbigniew Suraj • Dominance-Based Rough Set Approach and Bipolar Abstract Rough Approximation Spaces Salvatore Greco, Benedetto Matarazzo, Roman Słowinski • Paraconsistent Logic Programs with FourValued Rough Sets Jan Małuszynski, Andrzej Szałas, Aida Vitória • An Equivalent Definition of Ro...

Induction of decision rules within the dominance-based rough set approach to the multiple-criteria sorting decision problem is discussed in this paper. We introduce an algorithm called DOMLEM that induces a minimal set of generalized decision rules consistent with the dominance principle. An extension of this algorithm for a variable consistency model of dominance based rough set approach is al...

Keywords: Power Average operator Support function Dominance-based rough set approach Ordinal preference Group decision making a b s t r a c t In group decision making (GDM) problems, ordinal data provide a convenient way of articulating preferences from decision makers (DMs). A number of GDM models have been proposed to aggregate such kind of preferences in the literature. However, most of the ...

Speed management represents an important strategy in order to improve road safety, because a strong relationship is between speed and crash occurrence and severity. Speed limits enforcement is the main measure to control operating speeds but to obtain the compliance of drivers, the limits must be safe but also credible. This means that road users have to regard the speed limit as logical under ...

The fuzzy measure can highlight important information in analyzing component features, patterns, and trends. However, fuzzy densities and interaction effects are usually unknown or uncertain for implications thus making the fuzzy measure limited in applications. This research proposes an extended fuzzy measure to derive the conditional fuzzy densities from dominance-based rough set approach (DR...

Market segmentation is a crucial activity in the present business environment. Data mining is a useful tool for identifying customer behavior patterns in large amounts of data. This information can then be used to help with decision-making in areas such as the airline market. In this study, we use the Dominance-based Rough Set Approach (DRSA) to provide a set of rules for determining customer a...

This paper proposes a prediction method that relies on the Dominance-based Rough Set Approach (DRSA) to improve the individual knowledge appropriation when the learning process occurs in a collaborative environment such as the Massive Open Online Courses (MOOCs). This method is based on two phases: the first has to be applied at the end of each week of the MOOC and aims at inferring a preferenc...