Computing is a critical driving force in the development of human civilization. In recent years,
we have witnessed the emergence of intelligent computing, a new computing paradigm that …

The following chapter describes the basic concepts of fuzzy systems and approximate
reasoning. The study focuses mainly on fuzzy models based on Zadeh's compositional rule …

This paper presents an approach to making accurate and high-quality decisions under
incomplete information. Our comprehensive approach includes interval modeling of …

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 …

Many serious real‐life problems could be simulated using cellular automata theory. There
were a lot of fires in public places which kill many people. Proposed method, called Cellular …

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 …

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 paper we present OvaExpert, an intelligent system for ovarian tumor diagnosis. We
give an overview of its features and main design assumptions. As a theoretical framework …

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 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 …