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An intelligent localization algorithm is proposed based on "interval type 2 fuzzy logic" for input processing.
Based on interval type 2 fuzzy logic (IT2FL), a signal processing of the radio signal strength indicator (RSSI) minimizes the uncertainty in RSSI measurements from anchors caused by the indoor obstacles.
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This paper proposes a model-based dual-loop feedback cooperative control method based on interval type-2 fuzzy logic control (IT2FLC) and actor-critic reinforcement learning (RL) algorithms with one-order digital low-pass filters (LPF) for three-dimensional trajectory tracking of RSS.
The weights for each criterion were calculated in step 5 based on interval type-2 fuzzy sets.
The features are transformed into fuzzy feature space by designing an algorithm based on interval type-2 (IT2) fuzzy sets.
Words were the enabler of the perceptual computer; therefore, it could consider the uncertainty related to each word based on interval type-2 fuzzy sets (IT2 FSs).
This paper proposes a PQ event detection and classification scheme utilizing a Volterra series based feature extractor and a classifier based on interval type-2 fuzzy logic system.
A dynamic parameter adaptation methodology for Ant Colony Optimization (ACO) based on interval type-2 fuzzy systems is presented in this paper.
This paper discusses the design and engineering of a biologically-inspired intrusion detection system, based on interval type-2 fuzzy set paradigm, for protecting computer networks.
A novel impulsive control approach based on interval Type-2 T S fuzzy model has been presented for nonlinear systems in this paper.
We propose a new method for evaluation of fetal health status based on interval type-2 fuzzy logic through fetal phonocardiography (fPCG).
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