Summary: Inspire of using standardization efforts, medical diagnosis is still considered an art. This status is owed due to the fact that medical diagnosis required a proficiency in coping with uncertainty simply that is not found in today’s computing machinery. The diagnostic decision in medicine is frequently encountered with uncertainties. Modeling of this uncertainties in the process of diagnosis of disease under fuzzy environment is an important subject. Various efforts have been made to model then uncertainties in this area through fuzzy sets and its generalizations. The interval-valued fuzzy set is referred to as an i-v fuzzy set. This study is to propose a comparative study for medical diagnosis based on cluster analysis by taking the lower and upper bounds from a given matrix of patients, symptoms, diseases relation.
For the entire collection see [Zbl 1345.00022].