In two recent papers, J.T. Yao (2007, 2008) presents a ten-year review of granular computing by analyzing published papers collected from the ISI’s Web of Science and the IEEE Digital Library. The objective is to “study the current status, the trends and the future direction of granular computing and identify prolific authors, impact authors, and the most impact papers in the past decade.” The ...

We discus the Wisdom Granular Computing (WGC) as a basic methodology in Wisdom Technology (WisTech). By wisdom, we understand an adaptive ability to make judgements correctly to a satisfactory degree (in particular, correct decisions) having in mind real-life

AbsfracfData mining has a lot of e-Commerce applications. The key problem is how to tind useful hidden patterns for better business applications. For these problems, granular fuzzy Web intelligence techniques are used to implement the granular fuzzy Web data mining system for available historical data of the credit company customers. Fuzzy computing and granular computing are used to design the...

In this lecture, binary granular computing (granular computing on binary relations) is re-examined. Two definitions for approximations in Rough Set Theory (one is from equivalence relation and the other from point-based topology view) were no longer equal under binary relation, the latter will have the better performance, especially when the universe is infinite. However, the point-based defini...

A set-theoretic framework is proposed for granular computing. Each element of a universe is associated with a nonempty family of neighborhoods. A neighborhood of an element consists of those elements that are drawn towards that element by indistinguishability, similarity, proximity, or functionality. It is a granule containing the element. A neighborhood system is a family of granules, which is...

In this paper, from the viewpoint of granular computing, information granule and concept granule are introduced to information systems, and then structure of concept granules and their distance, concept granular entropy and significance degree are presented. The concept of concept granule-based granular lattice is proposed in information systems. The representation and operation rules of comple...

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 decision logic language for granular computing. The language provides a formal method for describing and interpreting conditions in rules as granules and rules as relationships between granules. An information table is ...

This workshop introduces the foundations of data mining in the context of granular and rough computing. Unlike conventional data mining research, this workshop focuses on deep reflection into the meaning of patterns obtained from data. Since patterns are embedded in sets of real world objects, algebraic or geometric views on sets may play important roles. For this purpose, granular and rough co...