Granular Information

Human-Centric Information Processing Through Granular Modelling [Repost]  eBooks & eLearning

Posted by ChrisRedfield at Oct. 31, 2014
Human-Centric Information Processing Through Granular Modelling [Repost]

Andrzej Bargiela, Witold Pedrycz - Human-Centric Information Processing Through Granular Modelling
Published: 2009-02-26 | ISBN: 3540929150, 3540939288, 3642100929 | PDF | 404 pages | 8 MB

Human-Centric Information Processing Through Granular Modelling  eBooks & eLearning

Posted by tot167 at Jan. 2, 2009
Human-Centric Information Processing Through Granular Modelling

Andrzej Bargiela, Witold Pedrycz, "Human-Centric Information Processing Through Granular Modelling"
Springer | 2009-03-01 | ISBN: 3540929150 | 404 pages | PDF | 7,1 MB
Granular Computing and Intelligent Systems: Design with Information Granules of Higher Order and Higher Type

Witold Pedrycz, Shyi-Ming Chen, "Granular Computing and Intelligent Systems: Design with Information Granules of Higher Order and Higher Type"
S inger | 2011 | ISBN: 3642198198 | 316 pages | PDF | 3,4 MB

Granular Neural Networks, Pattern Recognition and Bioinformatics  eBooks & eLearning

Posted by arundhati at May 3, 2017
Granular Neural Networks, Pattern Recognition and Bioinformatics

Sankar K. Pal, Shubhra S. Ray, "Granular Neural Networks, Pattern Recognition and Bioinformatics"
2017 | ISBN-10: 3319571133 | 227 pages | PDF | 6 MB

Granular, Soft and Fuzzy Approaches for Intelligent Systems  eBooks & eLearning

Posted by Jeembo at April 30, 2017
Granular, Soft and Fuzzy Approaches for Intelligent Systems

Granular, Soft and Fuzzy Approaches for Intelligent Systems: Dedicated to Professor Ronald R. Yager by Janusz Kacprzyk, Dimitar Filev, Gleb Beliakov
English | 2017 | ISBN: 3319403125 | 248 Pages | PDF | 8.3 MB

This book offers a comprehensive report on the state-of-the art in the broadly-intended field of “intelligent systems”. After introducing key theoretical issues, it describes a number of promising models for data and system analysis, decision making, and control.

Aerobic Granular Sludge (repost)  eBooks & eLearning

Posted by libr at April 8, 2017
Aerobic Granular Sludge (repost)

Aerobic Granular Sludge (Water and Environmental Management Series) by Stephan Bathe and Merle De Kreuk
English | 2007 | ISBN: 1843395096 | ISBN-13: 9781843395096 | 180 pages | PDF | 16,8 MB

Information Granularity, Big Data, and Computational Intelligence  eBooks & eLearning

Posted by naag at March 18, 2017
Information Granularity, Big Data, and Computational Intelligence

Information Granularity, Big Data, and Computational Intelligence (Studies in Big Data) by Witold Pedrycz and Shyi-Ming Chen
English | 2014 | ISBN: 3319082531 | 444 pages | EPUB | 2 MB

The recent pursuits emerging in the realm of big data processing, interpretation, collection and organization have emerged in numerous sectors including business, industry and government organizations.

Granular-Relational Data Mining  eBooks & eLearning

Posted by naag at March 9, 2017
Granular-Relational Data Mining

Granular-Relational Data Mining: How to Mine Relational Data in the Paradigm of Granular Computing? (Studies in Computational Intelligence) by Piotr Hońko
English | 27 Feb. 2017 | ISBN: 3319527509 | 123 Pages | EPUB | 0.2 MB

Type-2 Fuzzy Granular Models  eBooks & eLearning

Posted by AvaxGenius at Feb. 11, 2017
Type-2 Fuzzy Granular Models

Type-2 Fuzzy Granular Models By Mauricio A. Sanchez, Oscar Castillo, Juan R. Castro
English | PDF | 2017 | 97 Pages | ISBN : 3319412876 | 3.91 MB

In this book, a series of granular algorithms are proposed. A nature inspired granular algorithm based on Newtonian gravitational forces is proposed. A series of methods for the formation of higher-type information granules represented by Interval Type-2 Fuzzy Sets are also shown, via multiple approaches, such as Coefficient of Variation, principle of justifiable granularity, uncertainty-based information concept, and numerical evidence based.
Granular-Relational Data Mining: How to Mine Relational Data in the Paradigm of Granular Computing?
Granular-Relational Data Mining: How to Mine Relational Data in the Paradigm of Granular Computing? (Studies in Computational Intelligence) by Piotr Hońko
English | 27 Feb. 2017 | ISBN: 3319527509 | 123 Pages | PDF | 1.48 MB

This book provides two general granular computing approaches to mining relational data, the first of which uses abstract descriptions of relational objects to build their granular representation, while the second extends existing granular data mining solutions to a relational case.