6 Fuzzy System Slide 1 of 29 Fuzzy
- Slides: 29
제 6장 퍼지시스템 (Fuzzy System) Slide 1 (of 29)
퍼지 시스템 모델의 기본 구조 Fuzzy Conditional Statements and Fuzzy Implication ALSO Fuzzy Relation Fuzzy Input Facts (X’, Y’) CRI method Defuzzification Process Fuzzy Output(Z’): System Behavior Slide 2 (of 29)
퍼지시스템 모델의 규칙표현의 예 전체규칙의ALSO 퍼지관계 IF I = Null and Zero then N=Very Large IF I= Zero and Null then N=Large ALSO IF I= Small and Medium then N=Medium ALSO IF I= Medium and Small then N=Small ALSO IF I= Large and Very Large then N=Zero ALSO IF I= Very Large and Large then N=Zero 조건부 규칙의 퍼지관계 결론부 퍼지 조건문(퍼지집합이며 각각 멤버쉽 함수로 표현되어 있음) 입력값: I=Null and Zero ? 비퍼지화과정 수행하여 시스템 행동 즉, N에 대한 수치값을 계산한다 Slide 3 (of 29)
퍼지 시스템 모델 Input Normalization and fuzzification of input variables Execution of rules Output fuzzy set Inference Engine Rules Term set(Vocabulary fuzzy sets) Defuzzification of output variables Slide 6 (of 29) Output
적응적 퍼지 시스템 모델 Input Normalization and fuzzification of input variables Execution of rules Inference Engine Time-Phased output fuzzy set Output fuzzy set Performance metric Rules Adaptation Machine Term set(Vocabulary fuzzy sets) Defuzzification of output variables Slide 7 (of 29) Output
HYBRID ASPECTS I/O vector ② Rule Base ③ ① Membership Function <제 1 형태> < 제 2 형태> Slide 14 (of 29)
퍼지 규칙 베이스 (Fuzzy Rule. Base) q 구조 다양화 Fuzzy이론에서는 지식을 1: Root “If Condition(조건) Then Conclusion(결론)” 의 형식을 가진 일련의 세 분 화 2: a -> Concl. 2 3: b -> Concl. 3 4: c -> Concl. 4 규칙(Rule)들의 트리 형태 로 구성 Rule 내용 Rule No : Conditions -> Concl. Code 5: d -> Concl. 5 6: e -> Concl. 6 7: f -> Concl. 7 9: g -> Concl. 9 8: g -> Concl. 8 Case 2 Case 3 Case 4 Case 5 Case 6 Case 7 Case 8 Case 9 a, e c, f, g c, g a b c a, d Slide 17 (of 29)
퍼지추론(Fuzzy Inference) Rule Type #1: IF (Ca/Na and Mg/Na Ratio is too high) and…. . and (Ca/P Ratio is too low) THEN Metabolic Type #3 IF Metabolic Type #3 and Account Number is 007 and…. THEN Description Type #7 Condition Part µ Conclusion Part µ High Medium µ Medium Ca/Na Ca/P µ Low Mg/Na Type #3 …. . µ µ Low …. . Mg/Na …. . Ca/Na µ µ High Type #4 Ca/P Slide 18 (of 29)
비퍼지화 방법: 무게 중심법 Decision by Center Of Area(COA) Method Input Facts: Ca/Na is 4. 55 and Mg/Na is 15. 7 µ Conclusion Part and … Ca/P is 12. 3 …. . . µ: Membership Function Answer : COA µlow(A) : A가 low에 속할 Membership Degree --> [0, 1] (예) µlow(12. 5) = 0. 8 Slide 19 (of 29)
직류계열 모터(DC SERIES MOTOR) + UN Regulation-duty Register Rr Series Excitation N M I Compensating Winding (I: 모터 현재값 N: 분당회전속도 UN: 제공된 볼트 M: Motor) Slide 21 (of 29)
직류계열 모터의 퍼지 규칙베이스 IF I = Null then N=Very Large ALSO IF I= Zero then N=Large ALSO IF I= Small then N=Medium ALSO IF I= Large ALSO IF I= Very Large then N=Small then N=Zero 조건부 결론부 각 퍼지집합(Null, Zero, Medium…. )에 대한 데이타베이스는 표 6. 4(p. 311)를 참조할 것 Slide 22 (of 29)
조건부 결론부 규칙 #1 0 1 2 3 4 5 6 7 8 9 10 400 600 800 1000 1200 1400 1600 1800 2000 0 1 2 3 4 5 6 7 8 9 10 400 600 800 1000 1200 1400 1600 1800 2000 규칙 #2 규칙 #3 규칙 #4 규칙 #5 규칙 #6 Slide 23 (of 29) 0 1 2 3 4 5 6 7 8 9 10 400 600 800 1000 1200 1400 1600 1800 2000
조건부 (전류) 규칙 #1 결론부 (회전속도) 입력 = Null (빨긴부분) 일 경우 0 1 2 3 4 5 6 7 8 9 10 400 600 800 1000 1200 1400 1600 1800 2000 0 1 2 3 4 5 6 7 8 9 10 400 600 800 1000 1200 1400 1600 1800 2000 규칙 #2 규칙 #3 규칙 #4 규칙 #5 규칙 #6 Slide 24 (of 29) 0 1 2 3 4 5 6 7 8 9 10 400 600 800 1000 1200 1400 1600 1800 2000
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Slide 29 (of 29)
- Basic dance steps in heel and toe polka
- Image sets
- Factor slide and divide
- Gaussian membership function
- Fuzzy inference system
- Fuzzy inference system
- Fuzzy expert system
- Vroom slide system
- Is earth a closed system or open system
- Circularory system
- Fuzzy logic
- Tipping problem fuzzy logic
- Controllable risk factor
- Fuzzy traces
- Contoh fuzzy set
- Contoh metode fuzzy mamdani
- Contoh himpunan fuzzy
- Fuzzy theory
- Contoh himpunan kabur dalam kehidupan sehari-hari
- Contoh kasus logika fuzzy
- Fuzzy logic lecture
- Fuzzy logic lecture
- Dot product
- Fuzzy relations with example
- Pattern recognition
- Fuzzy model plugin
- Fuzzy logic definition
- Fuzzy logic controller
- Fuzzy logic thermostat
- Fuzzy propositions examples