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:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	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

id	oai:umpir.ump.edu.my:14986
recordtype	eprints
spelling	oai:umpir.ump.edu.my: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 https://doi.org/10.1109/I2CACIS.2016.7885314
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	TK Electrical engineering. Electronics Nuclear engineering
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
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.
format	Conference or Workshop Item
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
title	Development of Fuzzy Inference System for Automatic Tea Making
title_short	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_sort	development of fuzzy inference system for automatic tea making
publisher	IEEE
publishDate	2017
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
first_indexed	2018-09-07T01:58:48Z
last_indexed	2018-09-07T01:58:48Z
_version_	1610912134917521408

Development of Fuzzy Inference System for Automatic Tea Making

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