| 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. |
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| 參考教材 Reference |
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| 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 |
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| 週 Week | 單元主題 Unit topic |
內容綱要 Content summary |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 7 | Fuzzy Rule Base and Fuzzy Inference Engine | 1. Fuzzy Rule Base 2. Fuzzy Inference Engine |
1. Fuzzy Rule Base 2. Fuzzy Inference Engine |
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| 8 | Fuzzifiers and Defuzzifiers | 1. Fuzzifiers 2. Defuzzifiers |
1. Fuzzifiers 2. Defuzzifiers |
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| 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 |
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| 10 | Fuzzy Systems as Nonlinear Mappings | Fuzzy Systems as Universal Approximators | 1. Fuzzy Systems As Universal Approximators |
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| 11 | Fuzzy Control of Nonlinear Systems | Fuzzy Control of Nonlinear Systems | Fuzzy Control of Nonlinear Systems |
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| 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 |
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| 13 | Approximation Properties of Fuzzy System II | Fuzzy Systems with Second-order Approximation Accuracy | Fuzzy Systems with Second-order Approximation Accuracy |
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| 14 | Design of Fuzzy Systems Using Gradient Descent Training | Designing the Parameters by Gradient Descent | Designing the Parameters by Gradient Descent |
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| 15 | Design of Fuzzy Systems Using Gradient Descent Training | Designing the Parameters by Gradient Descent | Designing the Parameters by Gradient Descent |
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| 16 | Design of Fuzzy Systems Using Recursive Least Squares | Derivation of the Recursive Least Squares Algorithm | Derivation of the Recursive Least Squares Algorithm |
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| 17 | Design of Fuzzy Systems Using Clustering | Design of Fuzzy Systems by Clustering | Design of Fuzzy Systems by Clustering |
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| 18 | 期末考 | Fuzzy Systems Design | Fuzzy Systems Design |
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教學要點概述 Overview of Teaching Points： |