Human-Centric Information Processing Through Granular Modelling

Human-Centric Information Processing Through Granular Modelling
Author :
Publisher : Springer Science & Business Media
Total Pages : 402
Release :
ISBN-10 : 9783540929154
ISBN-13 : 3540929150
Rating : 4/5 (150 Downloads)

Book Synopsis Human-Centric Information Processing Through Granular Modelling by : Andrzej Bargiela

Download or read book Human-Centric Information Processing Through Granular Modelling written by Andrzej Bargiela and published by Springer Science & Business Media. This book was released on 2009-02-26 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Human-Centric Information Processing Through Granular Modelling Related Books

Human-Centric Information Processing Through Granular Modelling
Language: en
Pages: 402
Authors: Andrzej Bargiela
Categories: Mathematics
Type: BOOK - Published: 2009-02-26 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Information granules and their processing permeate a way in which we perceive the world, carryout processing at the conceptual (abstract) level, and communicate
Advances in Machine Learning II
Language: en
Pages: 530
Authors: Jacek Koronacki
Categories: Computers
Type: BOOK - Published: 2009-12-24 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This is the second volume of a large two-volume editorial project we wish to dedicate to the memory of the late Professor Ryszard S. Michalski who passed away i
Fuzzy Logic and Applications
Language: en
Pages: 289
Authors: Alfredo Petrosino
Categories: Computers
Type: BOOK - Published: 2011-08-19 - Publisher: Springer

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the 9th International Workshop on Fuzzy Logic and Applications, WILF 2011 held in Trani, Italy in August 2011.
Cognitive Informatics for Revealing Human Cognition: Knowledge Manipulations in Natural Intelligence
Language: en
Pages: 483
Authors: Wang, Yingxu
Categories: Science
Type: BOOK - Published: 2012-11-30 - Publisher: IGI Global

DOWNLOAD EBOOK

"This book presents indepth research that builds a link between natural and life sciences with informatics and computer science for investigating cognitive mech
Interpretable Artificial Intelligence: A Perspective of Granular Computing
Language: en
Pages: 430
Authors: Witold Pedrycz
Categories: Technology & Engineering
Type: BOOK - Published: 2021-03-26 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book offers a comprehensive treatise on the recent pursuits of Artificial Intelligence (AI) – Explainable Artificial Intelligence (XAI) by casting the cr