Three parameters bell-shaped membership function; a, b and c.

Download scientific diagram | Three parameters bell-shaped membership function; a, b and c.  from publication: Application of the hybrid ANFIS models for long term wind power density prediction with extrapolation capability | In this paper, the suitability and performance of ANFIS (adaptive neuro-fuzzy inference system), ANFIS-PSO (particle swarm optimization), ANFIS-GA (genetic algorithm) and ANFIS-DE (differential evolution) has been investigated for the prediction of monthly and weekly wind | Wind, Hybrid and Alternative Energy | ResearchGate, the professional network for scientists.

Fuzzy Membership Function

PDF) Application of the hybrid ANFIS models for long term wind

Membership Function - an overview

Parameters used in the predictive model with their categories

Describing Fuzzy Membership Function and Detecting the Outlier by

Operational data about the EGSBR system [2]

Frequency histogram of measured D values

Parameters used in the predictive model with their categories

Chapter 10 Fuzzy Control and Fuzzy Expert Systems - ppt video

B. HORAN, Professor (Associate), PhD

Generalized bell-shaped membership function - MATLAB gbellmf