Development of Fuzzy Inference System for Automatic Tea Making

• Main Authors: Ahamed, Nizam Uddin, Zahari, Taha, Ismail, Mohd Khairuddin, Rabbi, M. F., Sikandar, Tasriva, Palaniappan, Rajkumar, Ali, Md. Asraf, Rahman, S. A. M. Matiur, Sundaraj, Kenneth
• Format: Conference or Workshop Item
• Language: English; English
• Published: IEEE 2017
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/14986/7/fkp-2016-uddin-development%20of%20fuzzy%20inference%20system1.pdf; http://umpir.ump.edu.my/id/eprint/14986/13/fkp-2017-uddin-development%20of%20fuzzy%20inference.pdf; http://umpir.ump.edu.my/id/eprint/14986/; https://doi.org/10.1109/I2CACIS.2016.7885314

In this paper, a fuzzy inference system has been developed for automatic tea making process. The system takes five inputs and gives two output which determines the grade of black tea and milk tea. Specifically, the proposed system considers five important characteristics of hot tea beverage such as...