The philosophy of soft sets is founded on the fundamental idea of parameterization, while
Pawlak's rough sets put more emphasis on the importance of granulation. As a multivalued …

This paper addresses a foundational aspect of imprecision in information and knowledge. It
makes a convincing case that convexity can take part in the progress of rough set theory in …

The aim of medical knowledge representation is to capture detailed domain knowledge in a
clinically efficient manner, and to offer reliable resolution with the acquired knowledge. The …

Granules are the building blocks of concepts of different types in soft computing and rough
sets in particular. These granules can be defined in ways that are related to computing or …

In this paper, we study finite dimensional vector spaces using rough set theory (RST) by
defining a Boolean information system IB associated with a vector space V for a given basis …

Coverings are a useful form of data, while covering-based rough sets provide an effective
tool for dealing with this data. Covering-based rough sets have been widely used in attribute …

In this paper, we consider a left quantale module represented by Q-module as a universal
set and we introduce the notion of rough Q-submodule with respect to a Q-submodule of Q …

In order to solve the problem of interoperability in Internet of Things, the Semantic Web
technology is introduced into the Internet of Things to form Semantic Web of Things …

Rough set theory is a useful mathematical tool for dealing with the uncertainty and
granularity in information systems. In this paper, rough approximations are introduced into …

Rough set theory and fuzzy set theory are two useful mathematical tools for dealing with
uncertainty and granularity in information systems. Motivated by the studies of roughness …