Development of Fuzzy Inference System for Automatic Tea Making

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...

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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:
Online Access:http://umpir.ump.edu.my/id/eprint/14986/
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
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author 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
author_facet 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
author_sort Ahamed, Nizam Uddin
building UMP Institutional Repository
collection Online Access
description 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.
first_indexed 2025-11-15T01:59:56Z
format Conference or Workshop Item
id ump-14986
institution Universiti Malaysia Pahang
institution_category Local University
language English
English
last_indexed 2025-11-15T01:59:56Z
publishDate 2017
publisher IEEE
recordtype eprints
repository_type Digital Repository
spelling ump-149862018-01-22T00:29:07Z http://umpir.ump.edu.my/id/eprint/14986/ Development of Fuzzy Inference System for Automatic Tea Making 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 TK Electrical engineering. Electronics Nuclear engineering 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. IEEE 2017 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/14986/7/fkp-2016-uddin-development%20of%20fuzzy%20inference%20system1.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/14986/13/fkp-2017-uddin-development%20of%20fuzzy%20inference.pdf 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 (Published) https://doi.org/10.1109/I2CACIS.2016.7885314
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
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
Development of Fuzzy Inference System for Automatic Tea Making
title Development of Fuzzy Inference System for Automatic Tea Making
title_full Development of Fuzzy Inference System for Automatic Tea Making
title_fullStr Development of Fuzzy Inference System for Automatic Tea Making
title_full_unstemmed Development of Fuzzy Inference System for Automatic Tea Making
title_short Development of Fuzzy Inference System for Automatic Tea Making
title_sort development of fuzzy inference system for automatic tea making
topic TK Electrical engineering. Electronics Nuclear engineering
url http://umpir.ump.edu.my/id/eprint/14986/
http://umpir.ump.edu.my/id/eprint/14986/
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