A Novel Type-2 Fuzzy Ontology and its Application to Diet Assessment

被引：0

作者：

Lee, Chang-Shing ^{[1
]}

Wang, Mei-Hui ^{[1
]}

Hsu, Chin-Yuan ^{[2
]}

Hagras, Hani ^{[3
]}

机构：

[1] Natl Univ Tainan, Dept Comp Sci & Informat Engn, Tainan, Taiwan

[2] Innovative Digitech Enabled Applicat & Serv Inst, Inst Informat Ind, Taipei, Taiwan

[3] Univ Essex, Comp Intelligence Ctr, Sch Comp Sci & Elect Engn, Colchester CO4 3SQ, Essex, England

来源：

2009 IEEE/WIC/ACM INTERNATIONAL JOINT CONFERENCES ON WEB INTELLIGENCE (WI) AND INTELLIGENT AGENT TECHNOLOGIES (IAT), VOL 3 | 2009年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper proposes a novel type-2 fuzzy ontology, including a type-2 food ontology and a type-2 FML-based ontology, for diet assessment. In addition, the paper presents a type-2 fuzzy diet assessment agent. In the proposed approach, firstly, the nutrition facts of various kinds of food are collected from the Internet and the convenience store. Next, the domain experts construct the type-2 fuzzy ontology, then the involved volunteers are requested to input eaten items. Finally, the proposed agent displays the diet assessment of the input eaten items based on the constructed type-2 fuzzy ontology. The experimental results show that the proposed approach is feasible for diet assessment.

引用

页码：417 / +

页数：2

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