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<blockquote>"Although Acampora's motivation for developing FML seems to be to develop embedded fuzzy controllers for ambient intelligence applications, FML could be a real boon for developers of fuzzy rule extraction algorithms: from my own experience during my PhD, I know that having to design a file format and implement the appropriate parsers for rule extraction and fuzzy inference engines can be a real pain, taking as much time as implementing the rule extraction algorithm itself. I would much rather have used something like FML for my work."</blockquote>
A complete overview of FML and related applications can be found in the book titled ''On the power of Fuzzy Markup Language''<ref
==FML at work: syntax, grammar and hardware synthesis==
FML allows fuzzy systems to be coded through a collection of correlated semantic tags capable of modeling the different components of a classical fuzzy controller such as knowledge base, rule base, fuzzy variables and fuzzy rules. Therefore, the FML tags used to build a fuzzy controller represent the set of lexemes used to create fuzzy expressions. In order to design a well-formed XML-based language, an FML context-free grammar is defined by means of a XML
* XML in order to create a new markup language for fuzzy logic control;
* a XML Schema in order to define the legal building blocks;
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==References==
{{reflist
<ref name=Acampora2013>
{{cite book | title=On the power of Fuzzy Markup Language | series=Studies in Fuzziness and Soft Computing
| publisher= Springer| work=Vol.296 | year=2013
| editor1-first=Giovanni|editor1-last= Acampora| editor2-first=Vincenzo|editor2-last=Loia| editor3-first=Chang-Shing | editor3-last=Lee
| editor4-first=Mei-Hui | editor4-last=Wang | display-editors=4
| url=http://link.springer.com/book/10.1007/978-3-642-35488-5/page/1 | accessdate=January 11, 2013}}</ref>
}}
==Further reading==
|