Course Syllabus

Course Information：

Year-Semester Course Number Course Name Phase Credits Hours Required/Elective Instructor Class Student NO. Withdraw Note

Fall Semester
Year 2026 366429 Fuzzy Control 1 3.0 3 ★ HUANG YO-PING GEE
IEECSG 0 0 電機所和電資外生所合開,EMI

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2026	366429	Fuzzy Control	1	3.0	3	★	HUANG YO-PING	GEE IEECSG	0	0	電機所和電資外生所合開,EMI

Course Plan：

Instructor HUANG YO-PING　Office Hours

Email yphuang@ntut.edu.tw

Last Updated 2026-06-04 12:05:39

Course Objective This goal of this course is to provide fundamental concepts and advanced applications of fuzzy sets and algebraic operations, fuzzy reasoning, fuzzy logic controls and fuzzy system design so that students can apply them to their research in the competitive world. BTW, some AI, AIoT related topics and their applications will be also presented and discussed in this course.

Course Schedule week 1~2: Introduction week 3~4: Fuzzy sets, AI, AIoT systems week 5~6: Fuzzy relations week 7~8: Membership functions, fuzzification and defuzzification week 9: Mid-term exam. week 10~12: Logic and fuzzy systems week 13~14: Automated methods for fuzzy systems week 15~16: Fuzzy classification week 17: Fuzzy control systems, AIoT applications week 18: Final exam

Evaluation and grading policy 1. Mid-term exam: 30% 2. Final exam: 30% 3. HWs+projects: 40%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
1. Li-Xin Wang, A Course in Fuzzy Systems and Control, 1st Ed., Pearson, 全威圖書代理 2. Lecture notes will be available at iPlus.

The access to curricular consultation Office hours: Monday 12:00~13:00;
Friday 16:00~18:00

Expanding teaching and resources ● 混成學習 (Blended Learning)
課程結合實體授課與線上學習（同步視訊／非同步活動）。
Combines face-to-face instruction with online learning (including synchronous video sessions or asynchronous activities).
● 數位科技融入 (Digital Technology Integration)
運用生成式AI、VR/AR、IoT、IRS等新興科技輔助教學與評量。
Utilizes emerging technologies such as Generative AI, VR/AR, IoT, and IRS (Interactive Response Systems) to facilitate teaching and assessment.

The course corresponds to the SDGs SDG4：優質教育（Quality Education）
SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
SDG13：氣候行動（Climate Action）
SDG14：水下生命（Life below Water）

Does the course incorporate AI ● 使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process）
● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI）
● 深入探討AI的原理與應用（Explore the principles and applications of AI in depth）

Note
Dear All:
If we need to have virtual teaching, then please login at Google Meet
https://meet.google.com/wca-fowh-yhj

Instructor	HUANG YO-PING　Office Hours
Email	yphuang@ntut.edu.tw
Last Updated	2026-06-04 12:05:39
Course Objective	This goal of this course is to provide fundamental concepts and advanced applications of fuzzy sets and algebraic operations, fuzzy reasoning, fuzzy logic controls and fuzzy system design so that students can apply them to their research in the competitive world. BTW, some AI, AIoT related topics and their applications will be also presented and discussed in this course.
Course Schedule	week 1~2: Introduction week 3~4: Fuzzy sets, AI, AIoT systems week 5~6: Fuzzy relations week 7~8: Membership functions, fuzzification and defuzzification week 9: Mid-term exam. week 10~12: Logic and fuzzy systems week 13~14: Automated methods for fuzzy systems week 15~16: Fuzzy classification week 17: Fuzzy control systems, AIoT applications week 18: Final exam
Evaluation and grading policy	1. Mid-term exam: 30% 2. Final exam: 30% 3. HWs+projects: 40%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes 1. Li-Xin Wang, A Course in Fuzzy Systems and Control, 1st Ed., Pearson, 全威圖書代理 2. Lecture notes will be available at iPlus.
The access to curricular consultation	Office hours: Monday 12:00~13:00; Friday 16:00~18:00
Expanding teaching and resources	● 混成學習 (Blended Learning) 課程結合實體授課與線上學習（同步視訊／非同步活動）。 Combines face-to-face instruction with online learning (including synchronous video sessions or asynchronous activities). ● 數位科技融入 (Digital Technology Integration) 運用生成式AI、VR/AR、IoT、IRS等新興科技輔助教學與評量。 Utilizes emerging technologies such as Generative AI, VR/AR, IoT, and IRS (Interactive Response Systems) to facilitate teaching and assessment.
The course corresponds to the SDGs	SDG4：優質教育（Quality Education） SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure） SDG13：氣候行動（Climate Action） SDG14：水下生命（Life below Water）
Does the course incorporate AI	● 使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process） ● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools） ● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI） ● 深入探討AI的原理與應用（Explore the principles and applications of AI in depth）
Note	Dear All: If we need to have virtual teaching, then please login at Google Meet https://meet.google.com/wca-fowh-yhj