Several time-variant fuzzy time series models have been developed during the last decade. These models usually focus on forecasting stationary of trend time series, but they are not suitable for forecasting seasonal time series. Furthermore, several factors that affect the forecasting accuracy are not carefully examined, such as interval length, interval number, and level of window base. Aiming...

Most data processing techniques traditionally used in scientific and engineering practice are statistical. These techniques are based on the assumption that we know the probability distributions of measurement errors etc. In practice, often, we do not know the distributions, we only know the bound ∆ on the measurement accuracy – hence, after the get the measurement result x̃, the only informatio...

Abstract Some industrial data often come with uncertainty, which in some cases depends on the decision of those responsible for taking measurement production process. While fuzzy approach helps to tackle ambiguity that arises measurement, an interval type-2 set deals such uncertainty better due its flexibility over control limits chart. This paper aims develop Interval Type-2 Exponentially Weig...

An important aspect in modeling dynamic phenomena consists in measuring with higher accuracy some physical quantities corresponding to the dynamic system. Yet for measurements performed on limited time interval at high working frequency, certain intelligent methods should be added. The high working frequency requires that the measurement and data processing time interval should be greater than ...

This paper investigates the event-based fault detection (FD) problem for a category of discrete-time interval type-2 fuzzy systems with measurement outliers. For sake decreasing utilization limited communication bandwidth, an mechanism is introduced. Based on saturation function technique, novel FD observer first designed to reduce influence outliers in dynamic syst...

The study of poverty and its quantification is a critical yet unresolved problem in social science. This work seeks to use new composite indicator assess as multidimensional concept. However, subjective decisions, such various weighting systems on the indicator’s creation, may affect perception. In order solve this issue, we propose random different indicators based simulated weightings specifi...