| 課程名稱 |
(中文) 模糊理論與應用 (英文) Fuzzy Theory And Applications |
開課單位 | 電機工程研究所 | ||
| 課程代碼 | E4660B | ||||
| 授課教師 | 龔宗鈞 | ||||
| 學分數 | 3.0 | 必/選修 | 選修 | 開課年級 | 研究所 |
| 先修科目或先備能力： | |||||
| 課程概述與目標：(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 | Li-Xin Wang A Course in Fuzzy Systems and Control Prentice-Hall, Inc. |
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| 參考教材 | |||||
| 課程大綱 | 學生學習目標 | 單元學習活動 | 學習成效評量 | 備註 | ||
| 週 | 單元主題 | 內容綱要 | ||||
| 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： |