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Development of fuzzy inference system for automatic tea making

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dc.contributor.author Ahamed, Nizam Uddin
dc.contributor.author Taha, Zahari Bin
dc.contributor.author Khairuddin, Ismail B. Mohd
dc.contributor.author Rabbi, Mohammad Fazle
dc.contributor.author Sikandar, Tasriva
dc.contributor.author Palaniappan, Rajkumar
dc.contributor.author Ali, Md. Asraf
dc.contributor.author Rahman, Sam Matiur
dc.contributor.author Sundaraj, K.
dc.date.accessioned 2018-09-22T06:37:29Z
dc.date.accessioned 2019-05-27T09:59:34Z
dc.date.available 2018-09-22T06:37:29Z
dc.date.available 2019-05-27T09:59:34Z
dc.date.issued 2017-03-27
dc.identifier.uri http://hdl.handle.net/20.500.11948/3262
dc.description.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. Full Text Link: http://doi.org/10.1109/I2CACIS.2016.7885314 en_US
dc.language.iso en en_US
dc.publisher IEEE Xplore en_US
dc.subject Dairy product en_US
dc.subject Sugar en_US
dc.subject Fuzzy logic en_US
dc.subject Neural networks en_US
dc.subject Temperature distribution en_US
dc.subject Conferences en_US
dc.subject Intelligent systems en_US
dc.title Development of fuzzy inference system for automatic tea making en_US
dc.type Article en_US


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