Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy etc. Methods and Their Applications

(Editor) (Editor)
& 2 more

This product is not available in the selected currency.

Descripció

Data processing has become essential to modern civilization. The original data for this processing comes from measurements or from experts, and both sources are subject to uncertainty. Traditionally, probabilistic methods have been used to process uncertainty. However, in many practical situations, we do not know the corresponding probabilities: in measurements, we often only know the upper bound on the measurement errors; this is known as interval uncertainty. In turn, expert estimates often include imprecise (fuzzy) words from natural language such as "small"; this is known as fuzzy uncertainty. In this book, leading specialists on interval, fuzzy, probabilistic uncertainty and their combination describe state-of-the-art developments in their research areas. Accordingly, the book offers a valuable guide for researchers and practitioners interested in data processing under uncertainty, and an introduction to the latest trends and techniques in this area, suitable for graduate students.

Detalls del producte

Editorial
Springer Nature Switzerland AG
Data de publicació
Idioma
Anglès
Tipus
Tapa dura
EAN/UPC
9783030310400
Matèries IBIC:

Obtingues ingressos recomanant llibres

Genera ingressos compartint enllaços dels teus llibres favorits a través del programa d’afiliats.

Uneix-te al programa d’afiliats