Zadeh's seminal work in theory of fuzzy-information granulation in human reasoning is
inspired by the ways in which humans granulate information and reason with it. This has led …

Fuzzy information granules indicate sufficiently interpretable fuzzy sets for achieving a high
level of human cognitive abstraction. Furthermore, granularity, complexity, and accuracy are …

A fuzzy granular structure refers to a mathematical structure of the collection of fuzzy
information granules granulated from a dataset, while a fuzzy information granularity is used …

An information system is an important model in the field of artificial intelligence and its
information structures mean a mathematical structure of the family of information granules …

Information granules are complex entities that arise in the process of abstraction of data and
derivation of knowledge. The automatic generation of information granules from data is an …

There are three basic concepts that underlie human cognition: granulation, organization and
causation. Informally, granulation involves decomposition of whole into parts; organization …

Human-centered information processing has been pioneered by Zadeh through his
introduction of the concept of fuzzy sets in the mid 1960s. The insights that were afforded …

In his paper, we introduce a model of generalization and specialization of information
granules. The information granules themselves are modeled as fuzzy sets or fuzzy relations …

The past few years have witnessed what in retrospect may be seen as a turning point in the
evolution of fuzzy logic. What I have in mind is the debut of four linked methodologies …

The term granular computing (GrC) was coined by Lin and Zadeh (derived from Zadeh's
granular mathematics) in Fall, 1996. Since then, nine GrC models have been proposed. In …