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Fuzzy markup language

Known as: Fuzzy 
Fuzzy Markup Language (FML) is a specific purpose markup language based on XML, used for describing the structure and behavior of a fuzzy system… Expand
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Related topics

Related topics

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Fuzzy control systemMarkup languageXMLXSLT

Broader (1)

Fuzzy logic

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
PSO-Based Fuzzy Markup Language for Student Learning Performance Evaluation and Educational Application
Fuzzy relationships exist between students’ learning performance with various abilities and a test item. However, the challenges… Expand
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2015
2015
Adaptive Personalized Diet Linguistic Recommendation Mechanism Based on Type-2 Fuzzy Sets and Genetic Fuzzy Markup Language
Many different real-world applications with a high-level of uncertainty proved the good performance of the type-2 fuzzy sets (T2… Expand
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2013
2013
On the Power of Fuzzy Markup Language
One of the most successful methodology that arose from the worldwide diffusion of Fuzzy Logic is Fuzzy Control. After the first… Expand
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Highly Cited
2012
Highly Cited
2012
A Supervised and Fuzzy-based Approach to Determine Optimal Multi-resolution Image Segmentation Parameters
Image segmentation is important for object-based classification. One of the most advanced image segmentation techniques is multi… Expand
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2011
2011
NEURO FUZZY LOGIC MODEL FOR COMPONENT BASED SOFTWARE ENGINEERING
Fuzzy logic has proved its mettle in last few decades and has been used in various applications to improve the performance and… Expand
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Highly Cited
2010
Highly Cited
2010
Diet assessment based on type-2 fuzzy ontology and fuzzy markup language
Ontology and Fuzzy Markup Language Chang-Shing Lee,1∗ Mei-Hui Wang,1 Giovanni Acampora,2† Chin-Yuan Hsu,3 Hani Hagras4… Expand
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1998
1998
Evolutionary Computing and Negotiating Agents
Automated negotiation has been of particular interest due to the relevant role that negotiation plays among trading agents. This… Expand
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Highly Cited
1995
Highly Cited
1995
Fuzzy and possibilistic shell clustering algorithms and their application to boundary detection and surface approximation. II
AbstructShell clustering algorithms are ideally suited for computer vision tasks such as boundary detection and surface… Expand
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Highly Cited
1995
Highly Cited
1995
Fuzzy and possibilistic shell clustering algorithms and their application to boundary detection and surface approximation. I
Shell clustering algorithms are ideally suited for computer vision tasks such as boundary detection and surface approximation… Expand
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1994
1994
Local model networks and local learning
The Local Model Networks (networks composed of locally accurate models, where the output is interpolated by smooth locally active… Expand
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