UMP Institutional Repository

Development of Fuzzy Inference System for Automatic Tea Making

Ahamed, Nizam Uddin and Zahari, Taha and Ismail, Mohd Khairuddin and Rabbi, M. F. and Sikandar, Tasriva and Palaniappan, Rajkumar and Ali, Md. Asraf and Rahman, S. A. M. Matiur and Sundaraj, Kenneth (2017) Development of Fuzzy Inference System for Automatic Tea Making. In: IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS 2016), 22 October 2016 , Shah Alam, Malaysia.. pp. 196-201.. ISBN 978-1-5090-4186-2

[img]
Preview
PDF
fkp-2016-uddin-development of fuzzy inference system1.pdf

Download (14kB) | Preview
[img] PDF
fkp-2017-uddin-development of fuzzy inference.pdf
Restricted to Registered users only

Download (863kB) | Request a copy

Abstract

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 water temperature, sugar, milk, brewing time and tea leaves quantity for grading the standard of the drink according to the consumer’s requirement. Both black tea and milk tea can be rated with a grade based on the human expert judgment which is according to the taste and aroma of the tea. This automatic tea making system can let the users choose their preferred type of tea without figuring out the complicated process to making a cup of hot tea beverage.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Fuzzy inference system, tea grading, automatic tea maker
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Faculty of Manufacturing Engineering
Depositing User: Dr. Nizam Uddin Ahamed
Date Deposited: 25 Oct 2016 07:30
Last Modified: 22 Jan 2018 00:29
URI: http://umpir.ump.edu.my/id/eprint/14986
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item