Diet assessment based on type-2 fuzzy ontology and fuzzy markup language

2010 ◽  
Vol 25 (12) ◽  
pp. 1187-1216 ◽  
Author(s):  
Chang-Shing Lee ◽  
Mei-Hui Wang ◽  
Giovanni Acampora ◽  
Chin-Yuan Hsu ◽  
Hani Hagras
Keyword(s):  
Markup Language ◽  
Fuzzy Ontology ◽  
Diet Assessment ◽  
Fuzzy Markup Language

A NOVEL GENETIC FUZZY MARKUP LANGUAGE AND ITS APPLICATION TO HEALTHY DIET ASSESSMENT

2012 ◽  
Vol 20 (supp02) ◽  
pp. 247-278 ◽  
Author(s):  
CHANG-SHING LEE ◽  
MEI-HUI WANG ◽  
HANI HAGRAS ◽  
ZHI-WEI CHEN ◽  
SHUN-TENG LAN ◽  
...  
Keyword(s):  
Knowledge Base ◽  
Fuzzy System ◽  
Fuzzy Inference ◽  
Healthy Diet ◽  
Rule Base ◽  
Markup Language ◽  
Genetic Fuzzy System ◽  
Common Food ◽  
Diet Assessment ◽  
Fuzzy Markup Language

In this paper, we present a novel Genetic Fuzzy Markup Language (GFML)-based genetic fuzzy system, including the genetic learning base, the knowledge base and rule base of FML, the fuzzy inference engine, and the genetic learning mechanism. The GFML is applied to the genetic fuzzy system for dealing with the knowledge base, the rule base, and the genetic learning base of the healthy diet domain, including the ingredients and the contained servings of six food categories of some common food in Taiwan. Moreover, the proposed novel system is able to infer the healthy status of human's daily eating. In the proposed system, the domain experts first define the nutrient facts of the common food to construct the fuzzy food ontology. Meanwhile, the involved Taiwanese students of National University of Tainan (NUTN) record their daily meals for a constant period of time. Then, based on the built fuzzy profile ontology, fuzzy food ontology, and fuzzy personal food ontology, a GFML-based genetic fuzzy system is carried out to infer the possibility of dietary healthy level for one-day meals. The experimental results show that the proposed GFML-based genetic fuzzy system gives good results for the healthy diet assessment.

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

2014 ◽  
Vol 20 (1) ◽  
pp. 359-376 ◽  
Author(s):  
Mei-Hui Wang ◽  
Kanta Kurozumi ◽  
Mikiko Kawaguchi ◽  
Chang-Shing Lee ◽  
Hiroshi Tsuji ◽  
...  
Keyword(s):  
Healthy Diet ◽  
Markup Language ◽  
Diet Assessment ◽  
Fuzzy Markup Language

Fuzzy Markup Language for Malware Behavioral Analysis

2013 ◽  
pp. 113-132 ◽  
Author(s):  
Hsien-De Huang ◽  
Giovanni Acampora ◽  
Vincenzo Loia ◽  
Chang-Shing Lee ◽  
Hani Hagras ◽  
...  
Keyword(s):  
Behavioral Analysis ◽  
Markup Language ◽  
Fuzzy Markup Language

scholarly journals Special issue on fuzzy ontologies and fuzzy markup language applications

2011 ◽  
Vol 16 (7) ◽  
pp. 1107-1108 ◽  
Author(s):  
Giovanni Acampora ◽  
Chang-Shing Lee
Keyword(s):  
Markup Language ◽  
Special Issue ◽  
Fuzzy Markup Language
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