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Rough Sets and Current Trends in Computing

Third International Conference, RSCTC 2002, Malvern, PA, USA, October 14-16, 2002. Proceedings

  • Conference proceedings
  • © 2002

Overview

Editors:
  1. James J. Alpigini

    1. Penn State Great Valley School of Professional Graduate Studies, Malvern, USA

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  2. James F. Peters

    1. Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, Canada

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  3. Andrzej Skowron

    1. Institute of Mathematics, Warsaw University, Warsaw, Poland

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  4. Ning Zhong

    1. Department of Systems and Information Engineering, Maebashi Institute of Technology, Maebashi-City, Japan

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2475)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: RSCTC 2002.

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Table of contents (83 papers)

  1. Front Matter

    Pages I-XV
    Download chapter PDF

  3. Plenary Papers

    1. Modelling Biological Phenomena with Rough Sets

      • Jan Komorowski
      Pages 13-13

    2. Database Mining on Derived Attributes Granular and Rough Computing Approach

      • Tsau Young Lin
      Pages 14-32

    3. A Proposed Evolutionary, Self-Organizing Automaton for the Control of Dynamic Systems

      • David W. Russell
      Pages 33-43

    4. Rough Set Analysis of Preference-Ordered Data

      • Roman SÅ‚owiÅ„ski, Salvatore Greco, Benedetto Matarazzo
      Pages 44-59

    5. Fuzzy Sets, Multi-valued Mappings, and Rough Sets

      • I. B. Türksen
      Pages 60-60

  4. Foundations and Methods I

    1. Investigating the Choice of l and u Values in the Extended Variable Precision Rough Sets Model

      • Malcolm J. Beynon
      Pages 61-68

    2. A Quantitative Analysis of Preclusivity vs. Similarity Based Rough Approximations

      • Gianpiero Cattaneo, Davide Ciucci
      Pages 69-76

    3. Heyting Wajsberg Algebras as an Abstract Environment Linking Fuzzy and Rough Sets

      • Gianpiero Cattaneo, Davide Ciucci
      Pages 77-84

    4. Dominance-Based Rough Set Approach Using Possibility and Necessity Measures

      • Salvatore Greco, Masahiro Inuiguchi, Roman SlowiÅ„ski
      Pages 85-92

    5. Generalized Decision Algorithms, Rough Inference Rules, and Flow Graphs

      • Salvatore Greco, Zdzislaw Pawlak, Roman SÅ‚owiÅ„ski
      Pages 93-104

    6. Generalized Rough Sets and Rule Extraction

      • Masahiro Inuiguchi, Tetsuzo Tanino
      Pages 105-112

    7. Towards a Mereological System for Direct Products and Relations

      • Ryszard Janicki
      Pages 113-122

    8. On the Structure of Rough Approximations

      • Jouni Järvinen
      Pages 123-130

    9. Modification of Weights of Conflict Profile’s Elements and Dependencies of Attributes in Consensus Model

      • Radoslaw Katarzyniak, Ngoc Thanh Nguyen
      Pages 131-138

    10. Reasoning about Information Granules Based on Rough Logic

      • Qing Liu, S. L. Jiang
      Pages 139-143

  5. Foundations and Methods II

    1. A Rough Set Framework for Learning in a Directed Acyclic Graph

      • Herman Midelfart, Jan Komorowski
      Pages 144-155

    2. On Compressible Information Systems

      • Mikhail Moshkov
      Pages 156-160
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  1. Rough Sets and Current Trends in Computing

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About this book

This volume contains the papers selected for presentation at the Third Inter- tional Conference on Rough Sets and Current Trends in Computing (RSCTC 2002) held at Penn State Great Valley, Malvern, Pennsylvania, U.S.A., 14–16 October 2002. Rough set theoryand its applications constitute a branch of soft computing that has exhibited a signi?cant growth rate during recent years. RSCTC 2002 provided a forum for exchanging ideas among manyresearchers in the rough set communityand in various areas of soft computing and served as a stimulus for mutual understanding and cooperation. In recent years, there have been a number of advances in rough set theoryand applications. Hence, we have witnessed a growing number of international workshops on rough sets and their applications. In addition, it should be observed that one of the beauties of rough sets and the rough set philosophyis that it tends to complement and reinforce research in manytraditional research areas and applications. This is the main reason that manyinternational conferences are now including rough sets into the list of topics.

Editors and Affiliations

  • Penn State Great Valley School of Professional Graduate Studies, Malvern, USA

    James J. Alpigini

  • Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, Canada

    James F. Peters

  • Institute of Mathematics, Warsaw University, Warsaw, Poland

    Andrzej Skowron

  • Department of Systems and Information Engineering, Maebashi Institute of Technology, Maebashi-City, Japan

    Ning Zhong

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