fuzzy system

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Example R1: If X is small then Y = 0.1X + 6.4 R2: If X is medium then Y = 0.5X + 4 R3: If X is large then Y = X – 2 X = input unsmooth [10, 10] Folie 22
Example R1: If X is small then Y = 0.1X + 6.4 R2: If X is medium then Y = 0.5X + 4 R3: If X is large then Y = X – 2 X = input [10, 10] If we have smooth membership functions (<strong>fuzzy</strong> rules) the overall input-output curve becomes a smoother one. Folie 23
Page 1 and 2: Fakultät ETIT Institut für Automa
Page 3 and 4: 1. • • In the description of th
Page 5 and 6: 3. • • The input, output and st
Page 7 and 8: Fuzzy Systems • • • Fuzzy sys
Page 9 and 10: • • • • Fuzzy Systems Most
Page 11 and 12: • • • In fuzzy systems, the r
Page 13 and 14: • Mamdani (Linguistic) fuzzy mode
Page 15 and 16: • • • Fuzzy logic operators,
Page 17 and 18: Example Max-min composition X, Y, Z
Page 19 and 20: • • Takagi-Sugeno fuzzy model:
Page 21: 60 50 40 30 20 10 0 1.2 1 0.8 0.6 0
Page 25 and 26: What defines the size of the rule-b
Page 27 and 28: • • • A set of rules in the c
Page 29 and 30: • • • • The antecedent form
Page 31 and 32: Fuzzification • • • The first
Page 33 and 34: Defuzzification • • • The res
Page 35 and 36: Types of defuzzifiers: 2. The Cente
Page 37 and 38: Types of defuzzifiers: There are se
Page 39 and 40: Fuzzy System (Overview) A fuzzy sys
Page 41 and 42: Folie 41

fuzzy system

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