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Thursday, July 30, 2020 | History

3 edition of Granular computing found in the catalog.

Granular computing

A. Bargiela

Granular computing

an introduction

by A. Bargiela

  • 377 Want to read
  • 18 Currently reading

Published by Kluwer Academic Publishers in Boston .
Written in English

    Subjects:
  • Granular computing.

  • Edition Notes

    Includes bibliographical references and index.

    StatementAndrzej Bargiela, Witold Pedrycz.
    SeriesKluwer international series in engineering and computer science -- SECS 717
    ContributionsPedrycz, Witold, 1953-
    Classifications
    LC ClassificationsQA76.9.S63 B37 2002
    The Physical Object
    Paginationxvii, 452 p. :
    Number of Pages452
    ID Numbers
    Open LibraryOL22446459M
    ISBN 101402072732
    LC Control Number2002034098

    In this perspective, granular computing has a position of centrality in data mining. Another methodology which has high relevance to data mining and plays a central role in this volume is that of rough set theory. Basically, rough set theory may be viewed as a . This insight has led to the suggestion of the development of the granular computing (GrC) paradigm some 15 years ago and takes as a point of departure, an empirical validation of the aggregated data in order to achieve the closest possible correspondence of the semantics of data aggregates and the entities in the problem domain.

    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. Read "Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing 15th International Conference, RSFDGrC , Tianjin, China, November , , Proceedings" by available from Rakuten Kobo. This book constitutes the refereed conference proceedings of the 15th International Conference on Rough SBrand: Springer International Publishing.

    A simple and more concrete granular computing model may be developed using the notion of information tables. In this framework, each object in a finite nonempty universe is described by a finite set of attributes. Based on attribute values of objects. Granular Computing in Decision Approximation. by Lech Polkowski,Piotr Artiemjew. Intelligent Systems Reference Library (Book 77) Thanks for Sharing! You submitted the following rating and review. We'll publish them on our site once we've reviewed : Springer International Publishing.


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Granular computing by A. Bargiela Download PDF EPUB FB2

The Handbook of Granular Computing offers a comprehensive reference source for the granular computing community, edited by and with contributions from leading experts in the field.

 Includes chapters covering the foundations of granular computing, interval analysis and fuzzy set theory; hybrid methods and models of granular computing; and Format: Hardcover.

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 Granular computing book of Computational Intelligence, pattern recognition, fuzzy sets and neural networks, system modelling, operations research and bioinformatics.

Granular Computing: The idea of Granular computing book 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. 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.

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.

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 intelligent systems.

It is a valuable resource for those engaged in research and practical developments in computer, electrical, industrial, manufacturing, and Cited by: Bisi C, Chiaselotti G, Ciucci D, Gentile T and Infusino F () Micro and macro models of granular computing induced by the indiscernibility relation, Information Sciences: an International Journal, C, (), Online publication date: 1-May 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.

Novel Developments in Granular Computing: Applications for Advanced Human Reasoning and Soft Computation analyzes developments and current trends of granular computing, reviewing the most influential research and predicting future trends.

This book not only presents a comprehensive summary of existing practices, but enhances understanding on.

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 intelligent systems.

It is a valuable resource for those engaged in research and practical developments in computer, electrical, industrial, manufacturing, and. Granular Computing: Analysis and Design of Intelligent Systems presents the unified principles of granular computing along with its comprehensive algorithmic framework and design practices.

this innovative book introduces readers to granular computing as a new paradigm for the analysis and synthesis of intelligent systems. It is a valuable Author: Witold Pedrycz. 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 involve. The landscape of Brand: Physica-Verlag Heidelberg. The landscape of granular computing is immensely rich and involves set theory (interval mathematics), fuzzy sets, rough sets, random sets linked together in a highly synergetic environment.

This volume is a first comprehensive treatment of this emerging paradigm and embraces its fundamentals, underlying methodological framework, and a sound. 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. 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 involve. The landscape of granular computing is immensely rich and involves set theory (interval mathematics), fuzzy sets, rough.

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.

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. Granular computing (GrC) (Pedrycz ; Yao and Zhong ; Yao ;Yao et al. ;Salehi et al. ) is an information processing paradigm.

This book investigates granular computing (GrC), which emerged as one of thefastest growing information processing paradigms in computational intelligence and human-centric systems--Provided by publisher.

Get this from a library! Granular computing: analysis and design of intelligent systems. [Witold Pedrycz] -- "Given the nature of the technology, granular computing cuts across a broad range of engineering disciplines. This self-contained book builds upon .This book covers methods based on a combination of granular computing, rough sets, and knowledge discovery in data mining (KDD).

The discussion of KDD foundations based on the rough set approach and granular computing feature illustrative applications. Category: Computers Human Centric Information Processing Through Granular Modelling.17 A Unified Framework of Granular Computing (Yiyu Yao). 18 Quotient Spaces and Granular Computing (Ling Zhang and Bo Zhang).

19 Rough Sets and Granular Computing: Toward Rough-Granular Computing (Andrzej Skowron and Jaroslaw Stepaniuk). 20 Construction of Rough Information Granules (Anna GomoliA ska).