Implementation and comparison of coffee bean drying temperature settingsbased on fuzzy logic

HIGHLIGHTS

• What: This research investigates the application and evaluation of for temperature control in coffee bean dryers comparing the Mamdani and Sugeno methods. The literature suggests that fuzzy logic offers a promising solution for optimizing coffee bean drying, with ongoing research focused on further enhancements and hybrid systems. (Silva R and amp; Gonçalves P, Evaluation is an iterative process carried out to ensure that the system functions according to the research objectives. The general form of the trapezoidal membership function is: For a "Low" membership function with parameters , the authors can calculate the membership degree as follows . . .
  

   

  

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