Wind power prediction is important for smooth power generation from wind turbines. Due to
the characteristics of volatility and indirectness of wind power, it is difficult to achieve high …

Due to the ubiquity of missing data, data imputation has received extensive attention in the
past decades. It is a well-recognized problem impacting almost all fields of scientific study …

Nowadays, we can use different websites that help us make decisions about various aspects
of our lives. However, privacy protection prevents websites from providing personalised …

Some data mining, AI and data processing tasks might have data loss whose
estimation/imputation is an important problem to be solved. Genetic algorithms are efficient …

Criticality is considered as a fundamental category of production planning, maintenance
process planning and management. The criticality assessment of machines and devices can …

We consider the problem of measuring the degree of inclusion and similarity between
interval-valued fuzzy sets. We propose a new idea for constructing indicators of inclusion …

Background We are researching, developing, and publishing the clinical decision support
system based on learning-to-rank. The main objectives are (1) To support for differential …

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 …

Two new methods for mining incomplete data based on interval-valued fuzzy set theory and
rough set theory, particularly maximal consistent blocks were proposed, and their …

A DNA microarray can represent thousands of genes for studying tumor and genetic
diseases in humans. Datasets of DNA microarray normally have missing values, which …