B) The fuzzy Rules are: R1: If height is short then weight is light. R2: If height is medium then weight is me R3: If height is tall then weight is heavy. C) The fact that John's height is 6'1"
B) The fuzzy Rules are: R1: If height is short then weight is light. R2: If height is medium then weight is me R3: If height is tall then weight is heavy. C) The fact that John's height is 6'1"
Computer Networking: A Top-Down Approach (7th Edition)
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![Estimate John's weight if you gave:
A) The degree of membership for each fuzzy fact:
John is tall (degree 0.5).
• John is of medium height (degree 0.7).
• John is short (degree 0.1)
• John is well-built (degree 0.3).
John is weak (degree 0.2).
Where fuzzy membership functions are defined in
terms of numerical values of an underlying crisp
attribute. (For example: Short, Medium and Tall in
terms of height. Weak and Well-built in terms of
muscle mass)
B) The fuzzy Rules are:
R1: If height is short then weight is light.
R2: If height is medium then weight is medium.
R3: If height is tall then weight is heavy.
C) The fact that John's height is 6’1"](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F67218e57-d3c6-4634-9a7c-87a0c4a44a45%2F25fe7763-c93d-4eef-99cf-edbfc0fd8a3d%2Fpf9v8p_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Estimate John's weight if you gave:
A) The degree of membership for each fuzzy fact:
John is tall (degree 0.5).
• John is of medium height (degree 0.7).
• John is short (degree 0.1)
• John is well-built (degree 0.3).
John is weak (degree 0.2).
Where fuzzy membership functions are defined in
terms of numerical values of an underlying crisp
attribute. (For example: Short, Medium and Tall in
terms of height. Weak and Well-built in terms of
muscle mass)
B) The fuzzy Rules are:
R1: If height is short then weight is light.
R2: If height is medium then weight is medium.
R3: If height is tall then weight is heavy.
C) The fact that John's height is 6’1"
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