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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(More)
Nowadays most people can get enough energy to maintain one-day activity, while few people know whether they eat healthily or not. It is quite important to analyze nutritional facts for foods eaten for those who are losing weight or suffering chronic diseases such as diabetes. This paper proposes a novel type-2 fuzzy ontology, including a type-2 fuzzy food(More)
In this paper, we propose a Genetic-based Fuzzy Image Filter (GFIF) to remove additive identical independent distribution (i.i.d.) impulse noise from highly corrupted images. The proposed filter consists of a fuzzy number construction process, a fuzz filtering process, a genetic learning process, and an image knowledge base. First, the fuzzy number(More)