Abstract. In this paper we introduce a new approach to automatic attribute and granularity selection for building optimum regression trees. The method is based on the minimum descr...
Granular computing is gradually changing from a label to a new field of study. The driving forces, the major schools of thought, and the future research directions on granular co...
This is a follow-up of the paper “A ten-year review of granular computing” published in 2007. We will continue to examine the most influential papers in granular computing. B...
Granular computing is not only a computing model for computer-centered problem solving, but also a thinking model for human-centered problem solving. Some authors have presented t...
Abstract. A model of granular computing (GrC) is proposed by reformulating, re-interpreting, and combining results from rough sets, quotient space theory, and belief functions. Two...
— As an emerging research method to deal with information and knowledge processing, various topics of granular computing have recently received more attention by researchers. The...
Reading and literature exploration are important tasks of scientific research. However, conventional retrieval systems provide limited support for these tasks by concentrating on ...
The main objective of this paper is to provide a granular computing based interpretation of rules representing two levels of knowledge. This is done by adopting and adapting the de...
The current research in granular computing is dominated by set-theoretic models such as rough sets and fuzzy sets. By recasting the existing studies in a wider context, we propose ...
One of the important components of granular computing is interval computations. In interval computations, at each intermediate stage of the computation, we have intervals of possi...
Martine Ceberio, Vladik Kreinovich, Andrzej Pownuk...