On the Power of Fuzzy Markup Language

  • Giovanni Acampora
  • Vincenzo Loia
  • Chang-Shing Lee
  • Mei-Hui Wang

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 296)

Table of contents

  1. Front Matter
    Pages 1-17
  2. Fuzzy Markup Language – Fundamentals

  3. Fuzzy Markup Language – Applications

    1. Front Matter
      Pages 71-71
    2. Chang-Shing Lee, Mei-Hui Wang, Pi-Hsia Hung, Yi-Ling Kuo, Hui-Min Wang, Bort-Hung Lin
      Pages 73-93
    3. Chang-Shing Lee, Mei-Hui Wang, Yu-Jen Chen, Shi-Jim Yen
      Pages 95-112
    4. Hsien-De Huang, Giovanni Acampora, Vincenzo Loia, Chang-Shing Lee, Hani Hagras, Mei-Hui Wang et al.
      Pages 113-132
    5. Mei-Hui Wang, Chang-Shing Lee, Hani Hagras, Ming-Kai Su, Yu-Yang Tseng, Hui-Min Wang et al.
      Pages 133-147
    6. Mei-Hui Wang, Chang-Shing Lee, Zhi-Wei Chen, Hani Hagras, Su-E Kuo, Hui-Ching Kuo et al.
      Pages 149-168
    7. Chang-Shing Lee, Mei-Hui Wang, Ming-Kai Su, Min-Hsiang Wu, Hani Hagras
      Pages 169-187
  4. Back Matter
    Pages 0--1

About this book


One of the most successful methodology that arose from the worldwide diffusion of Fuzzy Logic is Fuzzy Control. After the first attempts dated in the seventies, this methodology has been widely exploited for controlling many industrial components and systems. At the same time, and very independently from Fuzzy Logic or Fuzzy Control, the birth of the Web has impacted upon almost all aspects of computing discipline. Evolution of Web, Web 2.0 and Web 3.0 has been making scenarios of ubiquitous computing much more feasible;  consequently information technology has been thoroughly integrated into everyday objects and activities.

What happens when Fuzzy Logic meets Web technology? Interesting results might come out, as you will discover in this book. Fuzzy Mark-up Language is a son of this synergistic view, where some technological issues of Web are re-interpreted taking into account the transparent notion of Fuzzy Control, as discussed here.  The concept of a Fuzzy Control that is conceived and modeled in terms of a native web wisdom represents another step towards the last picture of Pervasive Web Intelligence.


Fuzziness Fuzzy Logic Controller Fuzzy Markup Language

Editors and affiliations

  • Giovanni Acampora
    • 1
  • Vincenzo Loia
    • 2
  • Chang-Shing Lee
    • 3
  • Mei-Hui Wang
    • 4
  1. 1., School of Industrial Engineering,Eindhoven University of TechnologyEindhovenNetherlands
  2. 2., Dept. of Computer ScienceUniversity of SalernoFiscianoItaly
  3. 3., Dept. of Computer Science andNational University of TainanTainanTaiwan R.O.C.
  4. 4., Dept. of Computer Science andNational University of TainanTainanTaiwan R.O.C.

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-642-35487-8
  • Online ISBN 978-3-642-35488-5
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site
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