There are two objectives of this chapter. One objective is to examine the basic principles and issues of granular computing. We focus on the tasks of granulation and computing with granules. From semantic and algorithmic perspectives, we study the construction, interpretation, and representation of granules, as well as principles and operations of computing and reasoning with granules. The other objective is to study a partition model of granular computing in a set-theoretic setting. The model is based on the assumption that a finite set of universe is granulated through a family of pairwise disjoint subsets. A hierarchy of granulations is modeled by the notion of the partition lattice
In this paper we propose a formal theory of partitions (ways of dividing up or sorting or mapping re...
Information granules, as encountered in natural language, are implicit in nature. To make them fully...
Granulation of a universe involves grouping of similar elements into granules. With granulated views...
We have a variety of different ways of dividing up, classifying, mapping, sorting and listing the ob...
Abstract. The current research in granular computing is dominated by set-theoretic models such as ro...
Abstract. A framework is proposed for studying a particular class of set-theoretic approaches to gra...
Abstract. A model of granular computing (GrC) is proposed by refor-mulating, re-interpreting, and co...
We represent granular partitions as triples consisting of a rooted tree structure as first component...
Granular computing is an emerging field of study that attempts to formalize and explore methods and ...
Granular computing concerns human thinking and problem solving, as well as their implications to the...
Granular computing concerns human thinking and problem solving, as well as their implications to the...
The theory of granular partitions is designed to capture in a formal framework important a...
Abstract. We outline a rough–neuro computing model as a basis for granular computing. Our approach i...
Abstract — Granular Computing is a paradigm destined to study how to compute with granules of knowle...
Granular computing becomes known as an innovative multidisciplinary study and has established much a...
In this paper we propose a formal theory of partitions (ways of dividing up or sorting or mapping re...
Information granules, as encountered in natural language, are implicit in nature. To make them fully...
Granulation of a universe involves grouping of similar elements into granules. With granulated views...
We have a variety of different ways of dividing up, classifying, mapping, sorting and listing the ob...
Abstract. The current research in granular computing is dominated by set-theoretic models such as ro...
Abstract. A framework is proposed for studying a particular class of set-theoretic approaches to gra...
Abstract. A model of granular computing (GrC) is proposed by refor-mulating, re-interpreting, and co...
We represent granular partitions as triples consisting of a rooted tree structure as first component...
Granular computing is an emerging field of study that attempts to formalize and explore methods and ...
Granular computing concerns human thinking and problem solving, as well as their implications to the...
Granular computing concerns human thinking and problem solving, as well as their implications to the...
The theory of granular partitions is designed to capture in a formal framework important a...
Abstract. We outline a rough–neuro computing model as a basis for granular computing. Our approach i...
Abstract — Granular Computing is a paradigm destined to study how to compute with granules of knowle...
Granular computing becomes known as an innovative multidisciplinary study and has established much a...
In this paper we propose a formal theory of partitions (ways of dividing up or sorting or mapping re...
Information granules, as encountered in natural language, are implicit in nature. To make them fully...
Granulation of a universe involves grouping of similar elements into granules. With granulated views...