Interval-valued data analysis and symbolic data techniques have emerged as vital tools in managing uncertainty and complexity inherent in modern datasets. Unlike traditional approaches that focus ...

Interval-censored competing risks data arise when each study subject may experience an event or failure from one of several causes and the failure time is not observed directly but rather is known to ...

In this work the analysis of interval-censored data, with Weibull distribution as the underlying lifetime distribution has been considered. It is assumed that censoring mechanism is independent and ...

The A8814 monitors single- and three-phase loads and is easily expandable to support water, gas, steam, and solar photovoltaic (PV) monitoring applications to provide a comprehensive snapshot of a ...

Collectively, these studies underscore the global significance of interval-valued data analysis in addressing modern challenges of uncertainty and complexity in big data.