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  • Conference proceedings
  • © 2010

Quantitative Logic and Soft Computing

Vol 2

Editors:

  1. Bing-yuan Cao

    1. Guangzhou University, Guangdong, China

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  2. Guo-jun Wang

    1. Shaanxi Normal University, Xi’an, China

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  3. Shui-li Chen

    1. Jimei University, Fujian, China

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  4. Si-zong Guo

    1. Liaoning Technical University, Fuxing, China

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  • Recent research on Fuzzy Information and Engineering Results of the The 2nd International Conference on Quantitative Logic and Soft Computing and 2010 Annual Conference on Fuzzy Information & Engineering of ORSC in 2010
  • Written by leading experts in the field

Part of the book series: Advances in Intelligent and Soft Computing (AINSC, volume 82)

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Table of contents (83 papers)

  1. Front Matter

    PDF

  2. Keynote Speakers

    2. Modeling the Degree of Truthfulness

      • Paul P. Wang, Chih Hsun Hsieh
      Pages 17-38

    3. A Nonlinear Integral Which Generalizes Both the Choquet and the Sugeno Integral

      • Erich Peter Klement, Radko Mesiar, Endre Pap
      Pages 39-52

    7. D-Completions of Net Convergence Structures

      • Weng Kin Ho, Dong-sheng Zhao, Wen Shih Wee
      Pages 93-110

  3. Quantitative Logic

    1. Modal R 0-Algebra-Valued Modal Logic System M\(\mathcal{L}\)*

      • Hui-Xian Shi, Guo-Jun Wang
      Pages 111-120

    2. Deduction Theorem for Symmetric Cirquent Calculus

      • Wen-yan Xu, San-yang Liu
      Pages 121-126

    4. Reflexive Transformation in L *-Logic Metric Space

      • Qing-Ping Wang, Guo-Jun Wang
      Pages 135-144

    5. A Quantitative Analysis of Rough Logic

      • Yan-hong She, Guo-jun Wang
      Pages 145-156

    8. The Properties of Normal R_0 Algebras

      • Hua-Rong Zhang
      Pages 177-185

    11. The Interval-Valued Truth Degree Theory of the Modal Formulas

      • Bi-jing Li, Guo-jun Wang
      Pages 207-214

    12. T-Seminorms and Implications on a Complete Lattice

      • Hua-wen Liu, Pei-jun Xue
      Pages 215-225
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About this book

Admittedly, the notion “intelligence or intelligent computing” has been around us for several decades, implicitly indicating any non-conventional methods of solving complex system problems such as expert systems and intelligent control techniques that mimic human skill and replace human operators for automation. Various kinds of intelligent methods have been suggested, phenomenological or ontological, and we have been witnessing quite successful applications. On the other hand, “Soft Computing Techniques” is the concept coined by Lot? Zadeh, referring to “a set of approaches of computing which parallels the remarkable ability of the human mind to reason and learn in an environment of uncertainty, imprecision and partial truth. ” Such a notion is well contrasted with the conventionalbinary logic based hard c- puting and has been effectively utilized with the guiding principle of “exploiting the tolerance for uncertainty,imprecision and partial truth to achieve tractability, - bustness and low solution cost. ” The soft computing techniques are often employed as the technical entities in a tool box with tools being FL, ANN, Rough Set, GA etc. Based on one’s intuition and experience, an engineer can build and realize hum- like systems by smartly mixing proper technical tools effectivelyand ef?ciently in a wide range of ?elds. For some time, the soft computing techniques are also referred to as intelligent computing tools.
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Keywords

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Editors and Affiliations

  • Guangzhou University, Guangdong, China

    Bing-yuan Cao

  • Shaanxi Normal University, Xi’an, China

    Guo-jun Wang

  • Jimei University, Fujian, China

    Shui-li Chen

  • Liaoning Technical University, Fuxing, China

    Si-zong Guo

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Bibliographic Information

  • Book Title: Quantitative Logic and Soft Computing

  • Book Subtitle: Vol 2

  • Editors: Bing-yuan Cao, Guo-jun Wang, Shui-li Chen, Si-zong Guo

  • Series Title: Advances in Intelligent and Soft Computing

  • DOI: https://doi.org/10.1007/978-3-642-15660-1

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer Berlin Heidelberg 2010

  • Softcover ISBN: 978-3-642-15659-5Published: 15 September 2010

  • eBook ISBN: 978-3-642-15660-1Published: 14 October 2010

  • Series ISSN: 1867-5662

  • Series E-ISSN: 1867-5670

  • Edition Number: 1

  • Number of Pages: 800

  • Number of Illustrations: 75 b/w illustrations

  • Topics: Computational Intelligence, Artificial Intelligence

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Access via your institution

Buy it now

eBook USD 259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 329.99
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

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