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A_Brief_Tutorial_on_Interval_Type-2_Fuzzy_Sets_an
- This tutorial illustrates the basic ideas of interval type-2 (IT2) fuzzy sets and systems, and provides a Matlab implementation of IT2 fuzzy logic system (FLS). One obstacle in learning IT2 fuzzy logic is its complex notations. In this tutorial w
ELK-1107-10_manuscript_1
- Type-1 fuzzy sets theory was proposed to handle uncertainty in control systems. But some cases showed some liabilities of Type-1 fuzzy sets when facing with unpredictable disturbance and uncertainties. Therefore Type-2 fuzzy sets was introduced
t-normsForType2VancouverFUZZIEEE
- This paper is concerned with the denition of t- norms on the algebra of truth values of type-2 fuzzy sets. Our proposed denition extends the denition of ordinary t-norms on the unit interval and extends our denition of t-norms on the alg
A-Brief-Tutorial-on-Interval-Type-2-Fuzzy-Sets-an
- Designing Practical Interval Type-2 Fuzzy Logic Systems Made Simple
2-2-Control-
- 自适应区间二型模糊二阶滑模控制，采用二型模糊系统逼近-Second-Order Sliding Fuzzy Interval Type-2 Control
20170609080945510
- type-2 fuzzy controllers (T2FLC) are designed to control position of yaw and pitch angles of the Twin Rotor Multi-input Multi-output System (TRMS) characterized with nonlinear dynamics and uncertainties
barbosa2016
- Linear Quadratic Gaussian (LQR) controller and Kalman Filter (KF) both are robust when acting separately, but this property is lost if using them together.
c72e5dd2127eecc688cd6c5d0299e28b3ab1
- This paper focuses on the design of a novel control approach. Its contribution to the existing literature is that in the design of an interval type-2 fuzzy neural system, recursive fuzzy c-means clustering algorithm is used and the designed algorithm