Rough Sets and Intelligent Systems Paradigms: Second International Conference, RSEISP 2014, Granada and Madrid, Spain, July 9-13, 2014. Proceedings | SpringerLink
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Rough Sets and Intelligent Systems Paradigms

Second International Conference, RSEISP 2014, Granada and Madrid, Spain, July 9-13, 2014. Proceedings

  • Conference proceedings
  • © 2014

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Editors:
  1. Marzena Kryszkiewicz

    1. Institute of Computer Science, Warsaw University of Technology, Warsaw, Poland

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  2. Chris Cornelis

    1. Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain

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  3. Davide Ciucci

    1. DISCo, Università di Milano – Bicocca, Milano, Italy

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  4. Jesús Medina-Moreno

    1. Dpt. de Matemáticas, University of Càdiz, Spain

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  5. Hiroshi Motoda

    1. School of Computing and Information Systems, University of Tasmania, Japan

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  6. Zbigniew W. Raś

    1. Institute of Computer Science, Warsaw University of Technology, Warsaw, Poland

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8537)

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

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Conference proceedings info: RSEISP 2014.

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About this book

This book constitutes the refereed proceedings of the 23rd Australasian Joint Conference on Rough Sets and Intelligent Systems Paradigms, RSEISP 2014, held in Granada and Madrid, Spain, in July 2014. RSEISP 2014 was held along with the 9th International Conference on Rough Sets and Current Trends in Computing, RSCTC 2014, as a major part of the 2014 Joint Rough Set Symposium, JRS 2014. JRS 2014 received 40 revised full papers and 37 revised short papers which were carefully reviewed and selected from 120 submissions and presented in two volumes. This volume contains the papers accepted for the conference RSEISP 2014, as well as the three invited papers presented at the conference. The papers are organized in topical sections on plenary lecture and tutorial papers; foundations of rough set theory; granular computing and covering-based rough sets; applications of rough sets; induction of decision rules - theory and practice; knowledge discovery; spatial data analysis and spatial databases; information extraction from images.

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Table of contents (41 papers)

  1. Front Matter

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  3. Foundations of Rough Set Theory

    1. From Vagueness to Rough Sets in Partial Approximation Spaces

      • Zoltán Ernő Csajbók, Tamás Mihálydeák
      Pages 42-52

    2. Random Probes in Computation and Assessment of Approximate Reducts

      • Andrzej Janusz, Dominik Ślęzak
      Pages 53-64

    3. Applications of Boolean Kernels in Rough Sets

      • Sinh Hoa Nguyen, Hung Son Nguyen
      Pages 65-76

    4. Robust Ordinal Regression for Dominance-Based Rough Set Approach under Uncertainty

      • Roman Słowiński, Miłosz Kadziński, Salvatore Greco
      Pages 77-87

    5. Monotonic Uncertainty Measures in Probabilistic Rough Set Model

      • Guoyin Wang, Xi’ao Ma, Hong Yu
      Pages 88-98

    6. Attribute Subset Quality Functions over a Universe of Weighted Objects

      • Sebastian Widz, Dominik Ślęzak
      Pages 99-110

    7. A Definition of Structured Rough Set Approximations

      • Yiyu Yao, Mengjun Hu
      Pages 111-122

  4. Granular Computing and Covering-Based Rough Sets

    1. Interactive Computations on Complex Granules

      • Andrzej Jankowski, Andrzej Skowron, Roman Swiniarski
      Pages 123-134

    2. Formulation and Simplification of Multi-Granulation Covering Rough Sets

      • Tong-Jun Li, Xing-Xing Zhao, Wei-Zhi Wu
      Pages 135-142

    3. Covering Based Rough Sets and Relation Based Rough Sets

      • Mauricio Restrepo, Jonatan Gómez
      Pages 143-152

  5. Applications of Rough Sets

    1. A Rough Set Approach to Novel Compounds Activity Prediction Based on Surface Active Properties and Molecular Descriptors

      • Jerzy Błaszczyński, Łukasz Pałkowski, Andrzej Skrzypczak, Jan Błaszczak, Alicja Nowaczyk, Roman Słowiński et al.
      Pages 153-160

    2. Rough Sets in Ortholog Gene Detection

      • Deborah Galpert Cańizares, Reinier Millo Sánchez, María Matilde García Lorenzo, Gladys Casas Cardoso, Ricardo Grau Abalo, Leticia Arco García
      Pages 161-168

    3. Hybrid Model Based on Rough Sets Theory and Fuzzy Cognitive Maps for Decision-Making

      • Gonzalo Nápoles, Isel Grau, Koen Vanhoof, Rafael Bello
      Pages 169-178

    4. Decision Rules-Based Probabilistic MCDM Evaluation Method – An Empirical Case from Semiconductor Industry

      • Kao-Yi Shen, Gwo-Hshiung Tzeng
      Pages 179-190

  6. Induction of Decision Rules - Theory and Practice

    1. Decision Rule Classifiers for Multi-label Decision Tables

      • Fawaz Alsolami, Mohammad Azad, Igor Chikalov, Mikhail Moshkov
      Pages 191-197

    2. Considerations on Rule Induction Procedures by STRIM and Their Relationship to VPRS

      • Yuichi Kato, Tetsuro Saeki, Shoutarou Mizuno
      Pages 198-208
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Editors and Affiliations

  • Institute of Computer Science, Warsaw University of Technology, Warsaw, Poland

    Marzena Kryszkiewicz, Zbigniew W. Raś

  • Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain

    Chris Cornelis

  • DISCo, Università di Milano – Bicocca, Milano, Italy

    Davide Ciucci

  • Dpt. de Matemáticas, University of Càdiz, Spain

    Jesús Medina-Moreno

  • School of Computing and Information Systems, University of Tasmania, Japan

    Hiroshi Motoda

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