Information granules and their processing permeate a way in which we perceive the
world, carryout processing at the conceptual (abstract) level, and communicate our
findings to the surrounding environment. The importance of information granulation
becomes even more apparent when we are faced with a rapidly growing flood of data,
become challenged to make decisions in complex data settings and are required to
appreciate the context from which the data is derived. Human centricity of systems
that claim to be “intelligent” and the granular computing come hand in hand. It is not
surprising at all to witness that the paradigm of Granular Computing has started to
gain visibility and continues along this path by gathering interest from the circles of
academics and practitioners. It is quite remarkable that the spectrum of application
and research areas that have adopted information granulation as a successful strategy
for dealing with information complexity covers such diverse fields as bioinformatics,
image understanding, environmental monitoring, urban sustainability, to mention few
most visible in the literature.