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  • © 2008

Transactions on Computational Science II

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

Part of the book sub series: Transactions on Computational Science (TCOMPUTATSCIE)

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Table of contents (13 chapters)

  1. Front Matter

  2. Regular Papers

    1. Perspectives on Denotational Mathematics: New Means of Thought

      • Yingxu Wang, Yiyu Yao, Guoyin Wang
      Pages 1-5
    2. On Mathematical Laws of Software

      • Yingxu Wang
      Pages 46-83
    3. Rough Logic and Its Reasoning

      • Qing Liu, Lan Liu
      Pages 84-99
    4. On Reduct Construction Algorithms

      • Yiyu Yao, Yan Zhao, Jue Wang
      Pages 100-117
    5. Attribute Set Dependence in Reduct Computation

      • Pawel Terlecki, Krzysztof Walczak
      Pages 118-132
    6. A General Model for Transforming Vague Sets into Fuzzy Sets

      • Yong Liu, Guoyin Wang, Lin Feng
      Pages 133-144
    7. A Comparative Study of STOPA and RTPA

      • Natalia Lopez, Manuel Núñez, Fernando L. Pelayo
      Pages 224-245
  3. Back Matter

About this book

The denotational and expressive needs in cognitive informatics, computational intelligence, software engineering, and knowledge engineering have led to the development of new forms of mathematics collectively known as denotational mathematics. Denotational mathematics is a category of mathematical structures that formalize rigorous expressions and long-chain inferences of system compositions and behaviors with abstract concepts, complex relations, and dynamic processes. Typical paradigms of denotational mathematics are concept algebra, system algebra, Real-Time Process Algebra (RTPA), Visual Semantic Algebra (VSA), fuzzy logic, and rough sets. A wide range of applications of denotational mathematics have been identified in many modern science and engineering disciplines that deal with complex and intricate mathematical entities and structures beyond numbers, Boolean variables, and traditional sets. This issue of Springer’s Transactions on Computational Science on Denotational Mathematics for Computational Intelligence presents a snapshot of current research on denotational mathematics and its engineering applications. The volume includes selected and extended papers from two international conferences, namely IEEE ICCI 2006 (on Cognitive Informatics) and RSKT 2006 (on Rough Sets and Knowledge Technology), as well as new contributions. The following four important areas in denotational mathem- ics and its applications are covered: Foundations and applications of denotational mathematics, focusing on: a) c- temporary denotational mathematics for computational intelligence; b) deno- tional mathematical laws of software; c) a comparative study of STOPA and RTPA; and d) a denotational mathematical model of abstract games.

Editors and Affiliations

  • Department of Computer Science, University of Calgary, Canada

    Marina L. Gavrilova

  • OptimaNumerics Ltd., Belfast, UK

    C. J. Kenneth Tan

  • Schulich School of Engineering, Department of Electrical and Computer Engineering, University of Calgary, NW Calgary, Canada

    Yingxu Wang

  • Department of Computer Science, University of Regina, Regina, Canada

    Yiyu Yao

  • School of Information Science & Technology, Southwest Jiaotong University, Chengdu, China

    Guoyin Wang

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access