This paper proposes a novel gradient-boosting-based ensemble system with a fuzzy
regression tree (FRT) as its base component for regression tasks. FRT first initializes the rule …

Machine learning draws its power from various disciplines, including computer science,
cognitive science, and statistics. Although machine learning has achieved great …

Numerous investigations have shown that the municipal solid waste incineration (MSWI) has
become one of the major sources of dioxin (DXN) emissions. Currently, the primary issue …

Municipal solid waste incineration (MSWI) is an effective method for waste to energy in the
developed and developing countries. However, it also produces multiple flue gas pollutants …

This article addresses an enhanced distributed outlier-resilient fusion estimation problem
using an interval type-2 (IT-2) Takagi–Sugeno (T–S) fuzzy model, integrating outlier …

In this study, a fuzzy reinforcement learning control (FRLC) is proposed to achieve trajectory
tracking of a differential drive mobile robot (DDMR). The proposed FRLC approach designs …

Real time detection of production quality and environmental protection indices is the basis
for realizing operational optimization of industrial processes. Insufficient samples are one of …

Approaches based on various technologies have been proposed in the literature for the
creation of regression models, which are among the most widely used models in fields such …

Subject to the piecewise transition probabilities (TPs), a finite-frequency non-fragile filtering
problem of semi-Markovian robotic hand is addressed. More exactly, by Takagi-Sugeno (TS) …