In many practical problems, games between conditions (costs) and decisions (goals) at
different scales have often been encountered. Obtaining acceptable decisions under weaker …

With granular computing point of view, the classical dominance-based rough set model is
based on a single granulation. For an ordered information system, this paper proposes two …

In many engineering design contexts models are indispensable. They offer decision support
and help tackle complex and interconnected design projects, capturing the underlying …

In attribute reduction, the method of partitioning information granules is crucial; however, the
existing attribute reduction algorithms have limitations in this respect. To solve this problem …

Set-valued information systems are important type of data tables and generalized models of
single-valued information systems. Approximations are the focal point of approaches to …

Multigranulation rough set theory is a desirable direction in the field of rough set, in which
upper and lower approximations are approximated by multiple granular structures. However …

This paper studies variable precision multigranulation fuzzy decision-theoretic rough sets in
an information system. We firstly review definitions and properties of multigranulation fuzzy …

Based on analysis of Pawlak's rough set model in the view of single equivalence relation
and the theory of fuzzy set, associated with multi-granulation rough set models proposed by …

In order to represent hierarchical structure of data measured at different levels of
granularities, the notion of multi-scale information table has been developed from the …

Presently, attribute reduction, as one of the most important topics in the field of rough set,
has been widely explored from different perspectives. To derive the qualified reduct defined …