A Type-2 Fuzzy Ontology and its Application to Personal Diabetic Diet Recommendation 论文

摘要

<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> It has been widely pointed out that classical ontology is not sufficient to deal with imprecise and vague knowledge for some real-world applications like personal diabetic-diet recommendation. On the other hand, fuzzy ontology can effectively help to handle and process uncertain data and knowledge. This paper proposes a novel ontology model, which is based on interval type-2 fuzzy sets (<emphasis emphasistype="italic">T2FSs</emphasis>), called type-2 fuzzy ontology (<emphasis emphasistype="italic">T2FO</emphasis>), with applications to knowledge representation in the field of personal diabetic-diet recommendation. The <emphasis emphasistype="italic">T2FO</emphasis> is composed of 1) a <emphasis emphasistype="italic">type-2 fuzzy personal profile ontology</emphasis> (<emphasis emphasistype="italic"> type-2 FPPO</emphasis>); 2) a <emphasis emphasistype="italic">type-2 fuzzy food ontology</emphasis> ( <emphasis emphasistype="italic">type-2 FFO</emphasis>); and 3) a <emphasis emphasistype="italic">type-2 fuzzy-personal food ontology</emphasis> (<emphasis emphasistype="italic">type-2 FPFO</emphasis>). In addition, the paper also presents a <emphasis emphasistype="italic">T2FS-based intelligent diet-recommendation agent</emphasis> ( <emphasis emphasistype="italic">IDRA</emphasis>), including 1) <emphasis emphasistype="italic">T2FS</emphasis> construction; 2) a <emphasis emphasistype="italic">T2FS-based personal ontology filter</emphasis>; 3) a <emphasis emphasistype="italic">T2FS-based fuzzy inference mechanism</emphasis>; 4) a <emphasis emphasistype="italic"> T2FS-based diet-planning mechanism</emphasis>; 5) a <emphasis emphasistype="italic">T2FS-based menu-recommendation mechanism</emphasis>; and 6) a <emphasis emphasistype="italic">T2FS-based semantic-description mechanism</emphasis>. In the proposed approach, first, the domain experts plan the diet goal for the involved diabetes and create the nutrition facts of common Taiwanese food. Second, the involved diabetics are requested to routinely input eaten items. Third, the ontology-creating mechanism constructs a <emphasis emphasistype="italic">T2FO</emphasis>, including a <emphasis emphasistype="italic">type-2 FPPO</emphasis>, a <emphasis emphasistype="italic">type-2 FFO</emphasis>, and a set of <emphasis emphasistype="italic">type-2 FPFOs</emphasis>. Finally, the <emphasis emphasistype="italic"> T2FS-based IDRA</emphasis> retrieves the built <emphasis emphasistype="italic">T2FO</emphasis> to recommend a personal diabetic meal plan. The experimental results show that the proposed approach can work effectively and that the menu can be provided as a reference for the involved diabetes after diet validation by domain experts. </para>