7. Estimate John's weight if you gave: A) The degree of membership for each fuzzy fact: • John is tall (degree 0.3). • John is of medium height (degree 0.4). • John is short (degree 0.2) • John is well-built (degree 0.6). • John is weak (degree 0.30). 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"
7. Estimate John's weight if you gave: A) The degree of membership for each fuzzy fact: • John is tall (degree 0.3). • John is of medium height (degree 0.4). • John is short (degree 0.2) • John is well-built (degree 0.6). • John is weak (degree 0.30). 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"
Computer Networking: A Top-Down Approach (7th Edition)
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![7. Estimate John's weight if you gave:
A) The degree of membership for each fuzzy fact:
• John is tall (degree 0.3).
• John is of medium height (degree 0.4).
• John is short (degree 0.2)
• John is well-built (degree 0.6).
• John is weak (degree 0.30).
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%2F30e20a31-dd0b-45f2-b49f-7cf266c9039d%2F51e5432d-7599-45ec-9ad9-7b49662be02d%2F7kwqtig_processed.jpeg&w=3840&q=75)
Transcribed Image Text:7. Estimate John's weight if you gave:
A) The degree of membership for each fuzzy fact:
• John is tall (degree 0.3).
• John is of medium height (degree 0.4).
• John is short (degree 0.2)
• John is well-built (degree 0.6).
• John is weak (degree 0.30).
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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