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Genetic fuzzy markup language for diet application

2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), 2011
In this paper, the genetic fuzzy markup language (GFML) is presented to describe the knowledge base and rule base of the diet domain, including ingredients and the contained servings of six food categories of some common food. The domain experts first define the nutrient facts of the common food to construct the fuzzy food ontology.
Chang-Shing Lee   +2 more
exaly   +2 more sources

Fuzzy Markup Language for game of NoGo

2011 IEEE International Conference on Granular Computing, 2011
Game of Go is one of the main challenges in the artificial intelligence. In particular, it is much harder than chess, in spite of the fact that it is fully observable and has very intuitive rules. Computer Go has been developing for the past several years, and NoGo game is similar to Go, in the sense that each player puts a stone on the board ...
Chang-Shing Lee   +2 more
exaly   +2 more sources

Item response theory with fuzzy markup language for parameter estimation and validation

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2015
Owing to advanced technical progress in information and communication technology, computerized adaptive assessment becomes more and more important for the personalized learning achievement. According to the response data from the conventional test and three-parameter logistic (3PL) model of the item response theory (IRT), this paper combines IRT with ...
Mei-Hui Wang   +2 more
exaly   +2 more sources

Intelligent Investigation Mechanism based on Fuzzy Markup Language for social media application

2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2016
The Intelligent Investigation Mechanism (IIM) based on Fuzzy Markup Language (FML) and genetic learning ability for social media application is presented in this paper. We take the social media contents of presidential election domain on Facebook as an example in this paper, and construct the presidential election ontology for defining the knowledge ...
Chang-Shing Lee, Mei-Hui Wang
exaly   +2 more sources

Adaptive Personalized Diet Linguistic Recommendation Mechanism Based on Type-2 Fuzzy Sets and Genetic Fuzzy Markup Language

IEEE Transactions on Fuzzy Systems, 2015
Many different real-world applications with a high-level of uncertainty proved the good performance of the type-2 fuzzy sets (T2 FSs). Balanced diet means that the intake of each necessary nutrient meets its adequate demand and actual caloric intake balances with calories burned.
Chang-Shing Lee, Mei-Hui Wang
exaly   +2 more sources

Healthy diet assessment mechanism based on fuzzy markup language for Japanese food

Soft Computing, 2014
Owing to the change of our lifestyle, more people suffer from chronic diseases, such as obesity or diabetes. Making improvements in terms of diet and physical activity is helpful for people to reduce the risk of suffering from these chronic diseases.
Mei-Hui Wang   +2 more
exaly   +2 more sources

Fuzzy markup language with genetic learning mechanism for invention patent quality evaluation

2015 IEEE Congress on Evolutionary Computation (CEC), 2015
Patent quality evaluation and applications are important issues for new products generation. In recent years, Taiwan government also actively pushes the patent-related laws and rules to strengthen the development of national patent technologies and their protection utility. In order to deal with large amounts of patent information to enhance the patent
Mei-Hui Wang, Chang-Shing Lee
exaly   +2 more sources

An Intelligent-Mamdani Inference Scheme for Healthcare Applications Based on Fuzzy Markup Language

2009 10th International Symposium on Pervasive Systems, Algorithms, and Networks, 2009
In recent years, personal health management has been interested to researchers and healthcare practitioners. Recording and analyzing physiological variations in ordinary life could be especially useful to manage health problems and to care individuals.
Chin-Yuan Hsu, Yeim-Kuan Chang
exaly   +2 more sources

Genetic fuzzy markup language-based item response theory agent for online self-learning platform construction

2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2016
Popularity of the Internet has increased online self-learning platforms such as Coursera and Khan Academy. This paper proposes an online self-learning platform (KWS learning platform) for self-learners to improve their English learning for listening in southern Taiwan.
Chang-Shing Lee, Mei-Hui Wang
exaly   +2 more sources

On the Power of Fuzzy Markup Language

Studies in Fuzziness and Soft Computing, 2013
Acampora Giovanni   +3 more
exaly   +4 more sources

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