An increasing number of decision support systems based on domain knowledge are
adopted to diagnose medical conditions such as diabetes and heart disease. It is widely …

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 …

Diabetes is a serious chronic disease. The importance of clinical decision support systems
(CDSSs) to diagnose diabetes has led to extensive research efforts to improve the accuracy …

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 …

In this paper, a fuzzy ontology and its application to news summarization are presented. The
fuzzy ontology with fuzzy concepts is an extension of the domain ontology with crisp …

Ontology is an effective conceptualism commonly used for the semantic Web. Fuzzy logic
can be incorporated to ontology to represent uncertainty information. Typically, fuzzy …

Diabetes mellitus is a major cause of morbidity and mortality in humans. Early diagnosis is
the first step toward the management of this condition. However, a diagnosis involves …

Millions of adults have diabetes across the globe and the overall cost for managing diabetic
patients has reached up to approximately 250 million. A major constraint in existing ontology …

Diabetes mellitus is one of the most common chronic diseases in recent years. According to
the World Health Organization, estimated diabetic patient numbers will increase by 56 …

Objective Case-based reasoning (CBR) is a problem-solving paradigm that uses past
knowledge to interpret or solve new problems. It is suitable for experience-based and theory …