The basic ideas and principles of granular computing (GrC) have been studied explicitly or implicitly in many fields in isolation. With the recent renewed and fast growing interest, it is time to extract the commonality from a diversity of fields and to study systematically and formally the domain independent principles of granular computing in a unified model. A framework of granular computing...

It is well accepted that in many real life situations information is not certain and precise but rather uncertain or imprecise. To describe uncertainty probability theory emerged in the 17th and 18th century. Bernoulli, Laplace and Pascal are considered to be the fathers of probability theory. Today probability can still be considered as the prevalent theory to describe uncertainty. However, in...

Granular computing becomes known as an innovative multidisciplinary study and has established much attention in recent years. The framework shared multiple views and multiple levels of understanding in each view from many fields. The three components of the theory are labeled as the philosophy, methodology and the computation, the integration of the above view of granular computing as a way of ...

As a new computing model, Granular computing provides a new efficient way for solving complicated problems, massive data mining, and fuzzy information processing. Privacy is becoming an increasingly important issue in many data mining applications. In this paper, we combined the existing model of granular computing with personalized privacy-preserving demand, and proposed a new granular computi...

Granular computing (GrC) is an emerging computing paradigm of information processing. It concerns the processing of complex information entities called information granules, which arise in the process of data abstraction and derivation of knowledge from information. Granular computing is more a theoretical perspective, it encourages an approach to data that recognizes and exploits the knowledge...

Granular computing (GrC) is an emerging computing paradigm of information processing. It concerns the processing of complex information entities called information granules, which arise in the process of data abstraction and derivation of knowledge from information. Granular computing is more a theoretical perspective, it encourages an approach to data that recognizes and exploits the knowledge...

We provide an overview of Granular Computing a rapidly growing area of information processing aimed at the construction of intelligent systems. We highlight the main features of Granular Computing, elaborate on the underlying formalisms of information granulation and discuss ways of their development. We also discuss the concept of granular modeling and present the issues of communication betwe...

This paper discusses on granular computing and the role of inexactness in its process. It will discuss on emergence of granular computing and consider fuzzy sets. Fuzzy set is considered due to ability of dealing with uncertainties, where f.ggeneralization has intersected for fuzzy and granular computing. Linguistic variables are discussed due to their utilizations for labeling fuzzy granules.

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 a unified framework of granular computing. The new framework extends results obtained in the set-theoretic setting and extracts high-level common principles from a wide range of scientific disciplines. The art of gran...