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On the Power of Fuzzy Markup Language (Studies in Fuzziness and Soft Computing, 296)

معرفی کتاب «On the Power of Fuzzy Markup Language (Studies in Fuzziness and Soft Computing, 296)» نوشتهٔ Bruno N. Di Stefano (auth.), Giovanni Acampora, Vincenzo Loia, Chang-Shing Lee, Mei-Hui Wang (eds.)، منتشرشده توسط نشر Springer-Verlag Berlin and Heidelberg GmbH & در سال 2013. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.

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. Front Matter....Pages 1-17 Front Matter....Pages 1-1 On the Need of a Standard Language for Designing Fuzzy Systems....Pages 3-15 Fuzzy Markup Language: A XML Based Language for Enabling Full Interoperability in Fuzzy Systems Design....Pages 17-31 Distributing Fuzzy Reasoning through Fuzzy Markup Language: An Application to Ambient Intelligence....Pages 33-50 An Enhanced Visual Environment for Designing, Testing and Developing FML-Based Fuzzy Systems....Pages 51-70 Front Matter....Pages 71-71 Apply Fuzzy Markup Language to ASAP Assessment System....Pages 73-93 Apply Fuzzy Markup Language to Knowledge Representation for Game of Computer Go....Pages 95-112 Fuzzy Markup Language for Malware Behavioral Analysis....Pages 113-132 Applying FML-Based Fuzzy Ontology to University Assessment....Pages 133-147 A Type-2 FML-Based Fuzzy Ontology for Dietary Assessment....Pages 149-168 A Type-2 FML-Based Meeting Scheduling Support System....Pages 169-187 Back Matter....Pages 0--1
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