Tuning the Yager defuzzification in MISO fuzzy expert system by particle swarm optimization

In this research, we developed a multi input single output (MISO) fuzzy expert system with various rules and inputs, where both inputs and outputs are linguistic variables. In this system, we assumed that our parametric inference engine is in Yager environment. The approach was based on combination of Mamdani and Logical type linguistic model. Finally, we tuned the parameters of the system, using particle swarm optimization coded in MATLAB.

Keywords:

MISO fuzzy expert system , parameter tuning , Yager defuzzification , partticle swarm optimization