Last edited by Zololmaran
Monday, July 27, 2020 | History

7 edition of Rough computing found in the catalog.

Rough computing

theories, technologies and applications

  • 340 Want to read
  • 24 Currently reading

Published by Information Science Reference in Hershey PA .
Written in English

    Subjects:
  • Soft computing,
  • Rough sets

  • Edition Notes

    Includes bibliographical references and index.

    StatementAboul Ella Hassanien ... [et al.], eds.
    ContributionsHassanien, Aboul Ella.
    Classifications
    LC ClassificationsQA76.9.S63 R66 2008
    The Physical Object
    Paginationp. cm.
    ID Numbers
    Open LibraryOL17901964M
    ISBN 109781599045528, 9781599045542
    LC Control Number2007016855

    The book "Rough-Granular Computing in Knowledge Discovery and Data Mining" written by Professor Jaroslaw Stepaniuk is dedicated to methods based on a combination of the following three closely. Book is in Like New / near Mint Condition. Will include dust jacket if it originally came with one. Text will be unmarked and pages crisp. Satisfaction is guaranteed with every order. ROUGH GUIDE TO INTERNET RADIO 1 (ROUGH GUIDE INTERNET/COMPUTING) By L. A. Heberlein **Mint Condition**.

    Table of Contents for Rough computing: theories, technologies and applications / Aboul Ella Hassanien [et al.], eds, available from the Library of Congress. Contents may have variations from the printed book or be incomplete or contain other coding. Lecture Notice "Introduction to Soft Computing" are based on Heikki Koivo "Soft Computing in Dynamical Systems" and Robert Fuller "Introduction to Neuro-Fuzzy Systems" books. Fuzzy logic systems chapter describes the basic definitions of fuzzy set theory, i.e., the basic notions, the properties of fuzzy sets and operations on fuzzy sets.

    IJGCRSIS provides a forum to help academics, practitioners, post-graduates and policy makers, working in the area of granular computing, soft computing (rough sets, fuzzy sets, evolutionary computing, neural networks, genetic computing, etc.), to disseminate information and to learn from each other's work. The intended audiences are granular. During the past few years, data mining has grown rapidly in visibility and importance within information processing and decision analysis. This is par­ ticularly true in the realm of e-commerce, where.


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This book covers the entire gamut of soft computing, including fuzzy logic, rough sets, artificial neural networks, and various evolutionary algorithms. It offers a learner-centric approach where each new concept is introduced with carefully designed examples/instances to train the learner.

E-Book Review and Description: Tender computing consists of quite a few paradigms dedicated to roughly fixing precise-world points, e.g. in willpower making, classification or learning; amongst these paradigms are fuzzy models, robust models, neural networks, genetic algorithms, and others.

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Data mining, rough sets and granular computing January January Read More. Editors: Rough sets extends classical set theory by incorporating the set model into the notion of classification in the form of an indiscernibility relation.

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Rough Approximations on Hesitant Fuzzy Sets: /ch Introduction of hesitant fuzzy rough sets would facilitate the use of rough set based techniques to hesitant fuzzy environment. Hesitant fuzzy rough sets dealAuthor: D. Deepak, Sunil Jacob John.

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About this Book. Although the notion is a relatively recent one, the notions and principles of Granular Computing (GrC) have appeared in a different guise in many related fields including granularity in Artificial Intelligence, interval computing, cluster analysis, quotient space theory and many others.

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Free shipping for many products. From the Publisher: This volume provides a collection of twenty articles containing new material and describing the basic concepts and characterizing features of rough set theory and its integration with fuzzy set theory, for developing an efficient soft computing strategy of machine learning.

Research on rough logic. Based on the rough set theory, the rough logic and its deduction theory system can be established. And combining with probability logic, random truth degree of rough logic can be studied in the future.

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Pawlak, is a formal approximation of a crisp set (i.e., conventional set) in terms of a pair of sets which give the lower and the upper approximation of the original set. In the standard version of rough set theory (Pawlak ), the lower- and upper-approximation sets are crisp sets, but in other.