Анотація У монографії розвиваються структурні технології аналізу багатовимірних
даних в інтелектуальних системах. Основна увага приділяється ансамблевим моделям …

Interval time series forecasting can be used for forecasting special symbolic data comprising
lower and upper bounds and plays an important role in handling the complexity, instability …

Accurate interval-valued stock price prediction is challenging and of great interest to
investors and for-profit organizations. In this study, by considering individual stock …

The relative decision self-information is a crucial evaluation function of feature selection in
information system. It encapsulates classification information in upper and lower …

The problem of increasing the efficiency of decision making regarding the state of a
biophysical object is solved with the use of the computing intelligence apparatus. The …

Advance study about exchange rate prediction is reviewed in this paper. Different proposed
new methods forforecast exchange rate prediction, from 2000 to 2019 are taken into …

In many real-world forecasting problems, the time series under investigation can be
approximated. In that case, instead of dealing with its exact values, only their minima and …

Fuzzy rule-based inference systems facilitate approximate reasoning for decision-making
under circumstances where knowledge is imprecisely characterised. Compositional rule of …

An interval type-2 fuzzy logic system (IT2FLS) can function well with uncertain data, with
which a type-1 fuzzy logic system (T1FLS) is ineffective because its membership function …

Interval-valued time series (ITS) has been widely concerned by the academic community
due to its outstanding performance in dealing with the uncertainty of systems. Numerous ITS …