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Transactions on Computational Science II

  • Marina L. Gavrilova
  • C. J. Kenneth Tan
  • Yingxu Wang
  • Yiyu Yao
  • Guoyin Wang

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5150)

Table of contents

  1. Front Matter
  2. Regular Papers

    1. Yingxu Wang, Yiyu Yao, Guoyin Wang
      Pages 1-5
    2. Yingxu Wang
      Pages 46-83
    3. Qing Liu, Lan Liu
      Pages 84-99
    4. Yiyu Yao, Yan Zhao, Jue Wang
      Pages 100-117
    5. Pawel Terlecki, Krzysztof Walczak
      Pages 118-132
    6. Yong Liu, Guoyin Wang, Lin Feng
      Pages 133-144
    7. Natalia Lopez, Manuel Núñez, Fernando L. Pelayo
      Pages 224-245
  3. Back Matter

About this book

Introduction

The LNCS journal Transactions on Computational Science reflects recent developments in the field of Computational Science, conceiving the field not as a mere ancillary science but rather as an innovative approach supporting many other scientific disciplines. The journal focuses on original high-quality research in the realm of computational science in parallel and distributed environments, encompassing the facilitating theoretical foundations and the applications of large-scale computations and massive data processing. It addresses researchers and practitioners in areas ranging from aerospace to biochemistry, from electronics to geosciences, from mathematics to software architecture, presenting verifiable computational methods, findings and solutions and enabling industrial users to apply techniques of leading-edge, large-scale, high performance computational methods.

Transactions on Computational Science II is devoted to the subject of denotational mathematics for computational intelligence. Denotational mathematics, as a counterpart of conventional analytic mathematics, is a category of expressive mathematical structures that deals with high-level mathematical entities beyond numbers and sets, such as abstract objects, complex relations, behavioral information, concepts, knowledge, processes, granules, and systems. This volume includes 12 papers covering the following four important areas: foundations and applications of denotational mathematics; rough and fuzzy set theories; granular computing; and knowledge and information modeling.

Keywords

approximate reasoning artificial intelligence autonomic computing brain models cognitive models cognitive psychology cognitive science computational intelligence concept algebra cybernetics decision grids decision mak modeling sets software architecture

Editors and affiliations

  • Marina L. Gavrilova
    • 1
  • C. J. Kenneth Tan
    • 2
  • Yingxu Wang
    • 3
  • Yiyu Yao
    • 4
  • Guoyin Wang
    • 5
  1. 1.Department of Computer ScienceUniversity of CalgaryCanada
  2. 2.OptimaNumerics Ltd.BelfastUK
  3. 3.Schulich School of Engineering, Department of Electrical and Computer EngineeringUniversity of CalgaryNW CalgaryCanada
  4. 4.Department of Computer ScienceUniversity of ReginaReginaCanada
  5. 5.School of Information Science & TechnologySouthwest Jiaotong UniversityChengduChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-87563-5
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-87562-8
  • Online ISBN 978-3-540-87563-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site