[HTML][HTML] Application of adaptive-SOS (ASOS) algorithm based interval type-2 fuzzy-PID controller with derivative filter for automatic generation control of an …
In this article, a maiden comparative performance analysis of interval type-2 fuzzy-PID
controller with & without derivative filter (T2FPIDF & T2FPID), type-1 fuzzy-PID controller …
controller with & without derivative filter (T2FPIDF & T2FPID), type-1 fuzzy-PID controller …
Type-2 fuzzy hybrid controller network for robotic systems
Dynamic control, including robotic control, faces both the theoretical challenge of obtaining
accurate system models and the practical difficulty of defining uncertain system bounds. To …
accurate system models and the practical difficulty of defining uncertain system bounds. To …
Interval-valued complex fuzzy logic
Data is frequently characterised by both uncertainty and seasonality. Type-2 fuzzy sets are
an extension of type-1 fuzzy sets offering a conceptual scheme within which the effects of …
an extension of type-1 fuzzy sets offering a conceptual scheme within which the effects of …
Measures for evaluating IT2FSs constructed from data intervals
Interval type-2 fuzzy sets (IT2FSs) are increasingly used in fuzzy systems for modeling
linguistic words. Various approaches exist to construct such IT2FSs. Although the …
linguistic words. Various approaches exist to construct such IT2FSs. Although the …
An interval type-2 fuzzy logic based framework for reputation management in Peer-to-Peer e-commerce
During the last two decades, the Internet has changed people's habits and improved their
daily life activities and services. In particular, the emergence of e-commerce provided …
daily life activities and services. In particular, the emergence of e-commerce provided …
Exploring fuzzy set consensus analysis in IoT resource ranking
The complexity of the procedures for discovering, classifying, and selecting suitable
resources to meet customer demands is related to the growing resource offers connected to …
resources to meet customer demands is related to the growing resource offers connected to …
Improved uncertainty capture for nonsingleton fuzzy systems
In nonsingleton fuzzy logic systems (NSFLSs), input uncertainties are modeled with input
fuzzy sets in order to capture input uncertainty (eg, sensor noise). The performance of …
fuzzy sets in order to capture input uncertainty (eg, sensor noise). The performance of …
An adaptive type-2 fuzzy traffic engineering method for video surveillance systems over software defined networks
Abstract Software Defined Network (SDN) is a new network technology which allows
network providers to afford predefined Quality of Service (QoS) for video streaming …
network providers to afford predefined Quality of Service (QoS) for video streaming …
On the difference in control performance of interval type-2 fuzzy PI control system with different FOU shapes
Interval type-2 fuzzy logic controllers (IT2-FLCs) have been attracting a lot of attention.
However, challenges in designing IT2-FLCs still remain. One of the main challenges is to …
However, challenges in designing IT2-FLCs still remain. One of the main challenges is to …
Hemodynamic analysis for olfactory perceptual degradation assessment using generalized type-2 fuzzy regression
Olfactory perceptual degradation (OPD) refers to the inability of people to recognize the
variation in concentration levels of olfactory stimuli. This article attempts to assess the …
variation in concentration levels of olfactory stimuli. This article attempts to assess the …