教學大綱表 Syllabus
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課程名稱
Course Title
(中文) 模糊理論與應用
(英文) Fuzzy Theory And Applications
開課單位
Departments
電機工程研究所
課程代碼
Course No.
E4660B
授課教師
Instructor
龔宗鈞
學分數
Credit
3.0 必/選修
core required/optional
選修 開課年級
Level
研究所
先修科目或先備能力Course Pre-requisites:
課程概述與目標 Course Overview and Goals:(1) Fuzzy Sets and Fuzzy Operations on Fuzzy Sets; (2) Fuzzy Relations and the Extension Principle; (3) Linguistic Variables and Fuzzy IF-THEN Rules; (4) Fuzzy Rule Base and Fuzzy Inference Engine; (5) Fuzzifiers and Defuzzifiers; (6) Fuzzy Systems; (7) The Fuzzy C-Means Algorithm; (8) Fuzzy Arithmetic
教科書
Textbook
Li-Xin Wang
A Course in Fuzzy Systems and Control
Prentice-Hall, Inc.
參考教材
Reference
課程大綱
Syllabus
學生學習目標
Learning Objectives
單元學習活動
Learning Activities
學習成效評量
Evaluation
備註
Notes

Week
單元主題
Unit topic
內容綱要
Content summary
1 Fuzzy Sets and Fuzzy Operations on Fuzzy Sets 1. Fuzzy Sets
2. Fuzzy Operations on Fuzzy Sets
1. Fuzzy Sets
2. Fuzzy Operations on Fuzzy Sets
  • 討論
  • 講授
  •  
    2 Fuzzy Sets and Fuzzy Operations on Fuzzy Sets 1. Fuzzy Sets
    2. Fuzzy Operations on Fuzzy Sets
    1. Fuzzy Sets
    2. Fuzzy Operations on Fuzzy Sets
  • 討論
  • 講授
  •  
    3 Fuzzy Sets and Fuzzy Operations on Fuzzy Sets 1. Fuzzy Sets
    2. Fuzzy Operations on Fuzzy Sets
    1. Fuzzy Sets
    2. Fuzzy Operations on Fuzzy Sets
  • 討論
  • 講授
  • 作業Assignment
  •  
    4 Fuzzy Relations and the Extension Principle 1. From Classical Relations to Fuzzy Relations
    2. Compositions of Fuzzy Relations
    3. The Extension Principle for Fuzzy Sets
    1. From Classical Relations to Fuzzy Relations
    2. Compositions of Fuzzy Relations
    3. The Extension Principle for Fuzzy Sets
  • 討論
  • 講授
  • 平時考Test
  •  
    5 Fuzzy Relations and the Extension Principle 1. From Classical Relations to Fuzzy Relations
    2. Compositions of Fuzzy Relations
    3. The Extension Principle for Fuzzy Sets
    1. From Classical Relations to Fuzzy Relations
    2. Compositions of Fuzzy Relations
    3. The Extension Principle for Fuzzy Sets
  • 討論
  • 講授
  • 作業Assignment
  •  
    6 Linguistic Variables and Fuzzy IF-THEN Rules 1. From Numerical Variables to Linguistic Variables
    2. Fuzzy IF-THEN Rules
    1. From Numerical Variables to Linguistic Variables
    2. Fuzzy IF-THEN Rules
  • 討論
  • 講授
  •  
    7 Fuzzy Rule Base and Fuzzy Inference Engine 1. Fuzzy Rule Base
    2. Fuzzy Inference Engine
    1. Fuzzy Rule Base
    2. Fuzzy Inference Engine
  • 討論
  • 講授
  • 作業Assignment
  •  
    8 Fuzzifiers and Defuzzifiers 1. Fuzzifiers
    2. Defuzzifiers
    1. Fuzzifiers
    2. Defuzzifiers
  • 討論
  • 講授
  • 平時考Test
  •  
    9 期中考 1. Fuzzy Set Operations
    2. Fuzzy Relations and the Extension Principle
    3. Fuzzy Rule Base
    4. Fuzzy Inference Engine
    5. Fuzzifier and Defuzzifier
    To understand:
    1. Fuzzy Set Operations
    2. Fuzzy Relations and the Extension Principle
    3. Fuzzy Rule Base
    4. Fuzzy Inference Engine
    5. Fuzzifier and Defuzzifier
  • 期中考Midterm
  •  
    10 Fuzzy Systems as Nonlinear Mappings Fuzzy Systems as Universal Approximators 1. Fuzzy Systems As Universal Approximators
  • 討論
  • 講授
  •  
    11 Fuzzy Control of Nonlinear Systems Fuzzy Control of Nonlinear Systems Fuzzy Control of Nonlinear Systems
  • 設計研究
  • 討論
  • 講授
  •  
    12 Approximation Properties of Fuzzy Systems I 1. Design of Fuzzy System
    2. Approximation Accuracy of the Fuzzy System
    1. Design of Fuzzy System
    2. Approximation Accuracy of the Fuzzy System
  • 討論
  • 講授
  •  
    13 Approximation Properties of Fuzzy System II Fuzzy Systems with Second-order Approximation Accuracy Fuzzy Systems with Second-order Approximation Accuracy
  • 討論
  • 講授
  • 作業Assignment
  •  
    14 Design of Fuzzy Systems Using Gradient Descent Training Designing the Parameters by Gradient Descent Designing the Parameters by Gradient Descent
  • 討論
  • 講授
  • 平時考Test
  •  
    15 Design of Fuzzy Systems Using Gradient Descent Training Designing the Parameters by Gradient Descent Designing the Parameters by Gradient Descent
  • 討論
  • 講授
  •  
    16 Design of Fuzzy Systems Using Recursive Least Squares Derivation of the Recursive Least Squares Algorithm Derivation of the Recursive Least Squares Algorithm
  • 討論
  • 講授
  •  
    17 Design of Fuzzy Systems Using Clustering Design of Fuzzy Systems by Clustering Design of Fuzzy Systems by Clustering
  • 討論
  • 講授
  •  
    18 期末考 Fuzzy Systems Design Fuzzy Systems Design
  • 期末考Final Exam
  •  

    教學要點概述 Overview of Teaching Points:
    教材編選 Teaching Materials: ■ 自編教材 Handout by Instructor □ 教科書作者提供 Textbook
    評量方法 Evaluation: 期末考Final Exam:30%   期中考Midterm:30%   平時考Test:20%   作業Assignment:20%  
    教學資源 Teaching Resources: ■ 教材電子檔 Soft Copy of the Handout or the Textbook □ 課程網站 Website
    扣考規定 The rule of being able to take the final exam of the course:http://eboard.ttu.edu.tw/ttuwebpost/showcontent-news.php?id=504