The process of permanent magnetic drive (PMD) presents high uncertainty under the
complex operating conditions. In this paper, a type of Takagi Sugeno Kang (TSK) interval …

This paper designs a kind of Nagar-Bardini structure based on interval type-2 (IT2) fuzzy
logic systems for permanent magnetic drive uncertain parameter forecasting. For each fuzzy …

The paper designs a type of Takagi–Sugeno–Kang (TSK) type interval type-2 fuzzy logic
systems for permanent magnetic drive (PMD) coercivity and maximum energy product (MEP) …

Researching the theory and applications of general type‐2 fuzzy logic systems (GT2 FLSs)
has become a hot orientation in recent years. The permanent‐magnetic drive (PMD) affected …

With the development of α-planes representation result of general type-2 fuzzy sets, the
optimization and application of general type-2 fuzzy logic systems (GT2 FLSs) based on …

Much more attention has been focused on studying and applying general type-2 fuzzy logic
systems (GT2 FLSs) in recent years. The paper designs a type of Mamdani GT2 FLS for …

A type of Mamdani interval type-2 fuzzy logic systems is designed for historical data based
forecasting problem in the paper. In the Mamdani interval type-2 fuzzy logic systems design …

It is difficult to predict non-stationary or chaotic time series which includes the drift and/or the
non-linearity as well as uncertainty. To solve it, we propose an effective prediction method …

In this paper, the Takagi–Sugeno (T–S) fuzzy model is used to express dynamic systems,
and an on-line identification algorithm for its parameters and structures is presented. A new …

Type-II fuzzy model is useful to handle the influence of uncertainties. This paper presents an
algorithm of Type-II TS fuzzy (T2TSF) modeling based on data clustering and two …