Results 91 to 100 of about 1,288 (119)

Fuzzy markup language for university assessment

2011 IEEE International Conference on Systems, Man, and Cybernetics, 2011
The goal of higher education evaluation and accreditation is to ensure that education provided by institutions meets acceptable levels of quality. In 2011, the higher education evaluation and accreditation council of Taiwan (HEEACT) starts to evaluate the eighty-one higher education institutions through five predefined items, including (1) university ...
Chang-Shing Lee, Che-Hung Liu, Mei‐Hui Wang   +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, Hani Hagras, Mei‐Hui Wang   +2 more
exaly   +2 more sources

Genetic fuzzy markup language for game of NoGo

Knowledge-Based Systems, 2012
NoGo is similar to the game of Go in terms of gameplay; however, the goal is different: the first player who either suicides or kills a group loses the game and the first player with no legal move loses the game. In this paper, we propose an approach combining the technologies of ontologies, evolutionary computation, fuzzy logic, and fuzzy markup ...
Chang-Shing Lee, Hani Hagras, Olivier Teytaud   +2 more
exaly   +4 more sources

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, Chin-Yuan Hsu, Mei‐Hui Wang   +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 ...
Jialin Liu, Chang-Shing Lee, Su-Wei Lin   +2 more
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.
Shusaku Tsumoto, Chang-Shing Lee, Kawaguchi Mikiko   +2 more
exaly   +2 more sources

Fuzzy Markup Language: A new solution for transparent intelligent agents

2011 IEEE Symposium on Intelligent Agent (IA), 2011
From an industrial and technological point of view, fuzzy control theory deals with the development of a particular system controller on a specific hardware by means of an open or legacy programming language that is useful to address, in a high-level fashion, the hardware constraints.
Giovanni Acampora, Vincenzo Loïa
exaly   +4 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

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.
Yeim-Kuan Chang, Chin-Yuan Hsu
exaly   +2 more sources