This monograph is the result of scientific research conducted between 2012 and 2016 by an
interdisciplinary team of scientists from the Department of Imprecise Information Processing …

In this contribution the new concept of the operator in the interval-valued fuzzy sets, which is
a pre-aggregation function, and their application in medical diagnosis is presented. Taking …

In this contribution we consider methods for improving the quality of classification by the k
nearest neighborhood classifiers in the case of large number of missing values. The …

This work presents an approach to deal with uncertainty in patient's medical record. After
giving a brief characterisation of possible sources of uncertainty in medical records, the …

In this contribution the concept of parameterized operator in the interval-valued fuzzy sets,
which is a pre-aggregation function, and their application in medical diagnosis is presented …

In this contribution methods for improving the quality of multi-class classification by the k
nearest neighborhood classifiers in the case of large number of missing values in data sets …

The problem of measuring the degree of entropy based on precedence indicator and
similarity measures under conditions of uncertainty or imprecision was studied. So we call …

In this contribution results connected with using new types of aggregation functions in
medical diagnosis support are presented. These aggregation functions belong to the …

In this contribution there are considered interval‐valued methods of improving the quality of
classification by the k‐NN binary classifiers in the case of large number of attributes in data …

Jednym z głównych zagadnień w naukometrii jest klasyfikacja dyscyplin naukowych
autorów, co ma znaczący wpływ na ocenę ich dorobku naukowego. Tradycyjne metody …