Development of Fuzzy Inference System for Automatic Tea Making

被引：0

作者：

Ahamed, Nizam Uddin ^{[1
]}

Bin Taha, Zahari ^{[1
]}

Khairuddin, Ismail B. Mohd ^{[1
]}

Rabbi, Mohammad Fazle ^{[2
]}

Sikandar, Tasriva ^{[2
]}

Palaniappan, Rajkumar ^{[3
]}

Ali, Md. Asraf ^{[4
]}

Rahman, S. A. M. Matiur ^{[4
]}

Sundaraj, K. ^{[5
]}

机构：

[1] Univ Malaysia Pahang, Fac Mfg Engn, iMAMS Lab, Pekan 26600, Malaysia

[2] Univ Malaysia Pahang, Fac Elect & Elect Engn, Pekan 26600, Malaysia

[3] VIT Univ, Sch Elect Engn, Vellore, Tamil Nadu, India

[4] Daffodil Int Univ, Dhaka, Bangladesh

[5] Univ Tekn Malaysia Melaka, Fac Elect & Comp Engn, Durian Tunggal, Melaka, Malaysia

来源：

2016 IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC CONTROL AND INTELLIGENT SYSTEMS (I2CACIS) | 2016年

关键词：

Fuzzy inference system; tea grading; automatic tea maker;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：196 / 201

页数：6

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