The puzzle of granular computing

Cover of: The puzzle of granular computing |

Published by Springer in Berlin, New York .

Written in English

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Subjects:

  • Granular computing

Edition Notes

Includes bibliographical references and index.

Book details

StatementBruno Apolloni ... [et al.].
SeriesStudies in computational intelligence -- 138
ContributionsApolloni, Bruno, 1946-
Classifications
LC ClassificationsQA76.9.S63 P994 2008
The Physical Object
Paginationxviii, 495 p. :
Number of Pages495
ID Numbers
Open LibraryOL22656189M
ISBN 109783540798637
LC Control Number2008926081

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About this book Granular Computing is concerned with constructing and processing carried out at the level of information granules. Using information granules, we comprehend the world and interact with it, no matter which intelligent endeavor this may : Physica-Verlag Heidelberg.

The Handbook of Granular Computing represents a significant and valuable contribution to the literature and will appeal to a broad audience including researchers, students and practitioners in the fields of Computational Intelligence, pattern recognition, fuzzy sets and neural networks, system modelling, operations research and bioinformatics.

The puzzle of granular computing. [Bruno Apolloni;] -- "The ultimate goal of this book is to bring the fundamental issues of information granularity, inference tools and problem solving procedures into a coherent, unified, and fully operational Your Web browser is not enabled for JavaScript.

Some features of WorldCat will not be available. The puzzle of granular computing. [Bruno Apolloni;] -- Rem tene, verba sequentur (Gaius J. Victor, Rome VI century b.c.) The ultimate goal of this book is to bring the fundamental issues of information granularity, inference tools and problem solving.

The Handbook of Granular Computing represents a significant and valuable contribution to the literature and will appeal to a broad audience including researchers, students and practitioners in the fields of Computational Intelligence, pattern recognition, fuzzy sets and neural networks, system modelling, operations research and : Hardcover.

Part of the Studies in Computational Intelligence book series (SCI, volume ) Abstract In its primary form of connectionist paradigms, social computation raised in the eighties of the last century with the role of bringing an answer to the failure of the parallel computation as a general way of overcoming the speed limits of sequential : Bruno Apolloni, Witold Pedrycz, Simone Bassis, Dario Malchiodi.

Explores application domains where granular computing and granular models play a visible role, including pattern recognition, time series, and decision making Written by an internationally renowned authority in the field, this innovative book introduces readers to granular computing as a new paradigm for the analysis and synthesis of Cited by: Quotient Space Based Problem Solving provides an in-depth treatment of hierarchical problem solving, computational complexity, and the principles and applications of multi-granular computing, including inference, information fusing, planning, and heuristic search.

Home Browse by Title Books Granular computing: an emerging paradigm. Granular computing: an emerging paradigm The basic premise of granular computing is that, by reducing precision in our model of a system, we can suppress minor details and focus on the most significant relationships in the system.

Chiu D and Manjunath R Inferring the. Explores application domains where granular computing and granular models play a visible role, including pattern recognition, time series, and decision making Written by an internationally renowned authority in the field, this innovative book introduces readers to granular computing as a new paradigm for the analysis and synthesis of.

The Puzzle of Granular Computing Kieti viršeliai - Bruno Apolloni, Witold Pedrycz, Simone Bassis, Dario Malchiodi. Atsiliepimai. Įvertinimų nėra. Įvertink ir tu. Įvertink ir tu. Visi atsiliepimai. Formatai:The University of Alberta Faculty of Engineering provides students with an outstanding education preparing them for challenging and rewarding careers.

This book is about Granular Computing (GC) - an emerging conceptual and of information processing. As the name suggests, GC concerns computing paradigm processing of complex information entities - information granules.

In essence, information granules arise in the process of abstraction of data and derivation of knowledge from information. Granular computing could hopefully be the theoretical tool and methodology on information processing and studying other subject.

Granulations and related properties based on the semantics of Rough. In a unified way, they describe the recent development of theories and methodologies in pattern recognition, image processing and vision using fuzzy logic, artificial neural networks, genetic algorithms, rough sets and wavelets with significant real life book details the theory of granular computing and the role of a rough.

The origins of the granular computing ideology are to be found in the rough sets and fuzzy sets literatures. One of the key insights of rough set research—although by no means unique to it—is that, in general, the selection of different sets of features or variables will yield different concept granulations.

Granular Computing can be conceived as a framework of theories, methodologies, techniques, and tools that make use of information granules in the process of problem solving. In particular, the granular computing has been implicitly used in geospatial representation and processing in order to conquer the complexity and diversity of a large geographic data set.

What is Granular Computing. Definition of Granular Computing: The idea of granular computing goes back to Zadeh (). The basic idea of granular computing is that an object is described by a bunch of values in possible dimensions like indistinguishability, similarity, and proximity. If a granular is labeled by a linguistic expression it is called a linguistic variable.

Predictive Modelling of Seismic Hazard Applying Naïve Bayes and Granular Computing Available via license: CC BY-NC-ND Content may be subject to copyright. Watch this space more puzzles. Download a copy of our computational thinking puzzles and solutions booklets.

Copies of the puzzle book will be sent to schools that subscribe to cs4fn towards the end of February Download the linked booklets that go in to the puzzles in more depth, or read linked stories to the puzzles below.

Granular Computing: The idea of granular computing goes back to Zadeh (). The basic idea of granular computing is that an object is describe by a bunch of values in possible dimensions like indistinguishability, similarity and proximity. If a granular is labeled by a linguistic expressing it is called a linguistic variable.

Granular computing (GrC) is an emerging computing paradigm of information processing that concerns the processing of complex information entities called "information granules", which arise in the process of data abstraction and derivation of knowledge from information or data.

Generally speaking, information granules are collections of entities that usually originate at the numeric level and. "About Granular Computing" website has been reported by IEEE SIGNAL PROCESSING MAGAZINE [] MARCH in the article of "Granular Computing for Web Applications" by Carlos Castillo and Yiyu Yao.

>> More. Apolloni, B., Pedrycz, W., Bassis, S., Malchiodi, D. The Puzzle of Granular Computing, Springer, This book explores the significant role of granular computing in advancing machine learning towards in-depth processing of big data. It begins by introducing the main characteristics of big data, i.e., the five Vs—Volume, Velocity, Variety, Veracity and : Han Liu, Mihaela Cocea.

Information granules along with a faculty of their processing constitute an area of Granular Computing. The chapter presents an omnipresent visibility of information granules in the perception of real-world phenomena, coping with their complexity, and highlights a role of information granules in user-friendly schemes of interpretation of Author: Witold Pedrycz.

Granular Computing (GrC) is a general computation theory for effectively using granules such as classes, clusters, subsets, groups, and intervals to build an efficient computational model for complex applications with huge amounts of data, information, and knowledge.

The goal of the technical committee is to provide a forum to help establish. This book is about Granular Computing (GC) - an emerging conceptual and of information processing.

As the name suggests, GC concerns computing paradigm processing of complex information entities - information granules.

In essence, information granules arise in the process of abstraction of data Author: Andrzej Bargiela. A reference or citation consists of elements that allow the reader to trace the original book, article or website you have consulted and cited.

The puzzle of granular computing. (Andrzej, Michael, & Philip, ) computing Andrzej, G., Michael, B., & Philip, C. High performance computing clouds. In B. Benatallah (Ed.). Applied Soft Computing Vol Is OctoberPages Building the fundamentals of granular computing: A principle of justifiable granularityCited by: Handbook of Granular Computing - Ebook written by Witold Pedrycz, Andrzej Skowron, Vladik Kreinovich.

Read this book using Google Play Books app on your PC, android, iOS devices. Download for offline reading, highlight, bookmark or take notes while you read Handbook of Granular Computing. A Categorial Basis for Granular Computing, In: Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, LNAISpringer, Chen, Y.H.

and Yao, Y.Y. Multiview intelligent data analysis based on granular computing. Explores application domains where granular computing and granular models play a visible role, including pattern recognition, time series, and decision making Written by an internationally renowned authority in the field, this innovative book introduces readers to granular computing as a new paradigm for the analysis and synthesis of Author: Witold Pedrycz.

Information granules, as encountered in natural language, are implicit in nature. To make them fully operational so they can be effectively used to analyze and design intelligent systems, information granules need to be made explicit.

An emerging discipline, granular computing focuses on formalizing information granules and unifying them to create a coherent methodological and developmental.Algorithmic inference gathers new developments in the statistical inference methods made feasible by the powerful computing devices widely available to any data analyst.

Cornerstones in this field are computational learning theory, granular computing, bioinformatics, and, long ago, structural probability (Fraser ).The main focus is on the algorithms which compute statistics rooting the.Granularity (also called graininess), the condition of existing in granules or grains, refers to the extent to which a material or system is composed of distinguishable pieces.

It can either refer to the extent to which a larger entity is subdivided, or the extent to which groups of smaller indistinguishable entities have joined together to become larger distinguishable entities.

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