Fuzzy groups and collections of subgroups
Fuzzy Sets and Systems
Expert Systems with Applications: An International Journal
A model for single and multiple knowledge based networks
Artificial Intelligence in Medicine
Fuzzy min-max neural networks. I. Classification
IEEE Transactions on Neural Networks
A fuzzy intelligent approach to the classification problem in gene expression data analysis
Knowledge-Based Systems
Fuzzy and hard clustering analysis for thyroid disease
Computer Methods and Programs in Biomedicine
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We present a new classification system which is based on fuzzy level sets subgrouping. This new classification system allows a fast classification method with quite accurate results. Classification runs were carried out with four different data sets. All four data sets were related to medical diagnostics. Data sets were related to thyroid and diabetes diagnostics, echocardiogram data relates to predicting patients chances of survival after acute heart attack. With lymphography data there are four classes to predict, normal find, metastases, malign lymph and fibrosis, from the existing data. Classification results are compared to some existing results in the literature and the results seem to compare well.