Band 182
Human-Centric Information Processing Through Granular Modelling
Aus der Reihe
Studies in Computational Intelligence
-
- Hardcover ausgewählt
- Taschenbuch
- eBook
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Sprache:Englisch
Fr. 192.00
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Gebundene Ausgabe
Erscheinungsdatum
26.02.2009
Abbildungen
148 schwarz-weiße Abbildungen, 60 Tabellen
Herausgeber
Andrzej Bargiela + weitereVerlag
Springer BerlinSeitenzahl
404
Maße (L/B/H)
24.5/16.5/2.9 cm
Gewicht
753 g
Auflage
2009
Sprache
Englisch
ISBN
978-3-540-92915-4
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. Undoubtedly, there are two important aspects of Granular Computing that are worth stressing. First, there are several formalisms in which information granules are articulated so be intervals (sets), fuzzy sets, rough sets, soft sets, approximate sets, near sets and alike. They are complementary and each of them offers some interesting views at the complexity of the world and cyberspace.
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