I have a question about truth degree of a induced fuzzy relation.
Let's say we have the following fuzzy fact data.
Name Age Sex height Truth degree
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wang 56 male 185 0.9
smith 26 male 198 0.76
bob 29 male 190 0.95
tom 23 male 200 1.0
susan 20 female 185 1.0
mary 65 female 180 0.99
li 23 male 152 0.95
Now, a non-fuzzy learning algorithm is applied to this set of data to
induce a concept of 'strong man', suppose we get the concept as:
All male , young and tall person can be considered as a strong man,
This concept can be represented as Prolog Horn clause :
strong_man(Name,Age,Sex,Height):- Age = #young, Sex = male, Height = #tall.
where, #young and #tall are two fuzzy linguistic values
My question is how to determine the fuzzy truth degree of this induced concept?
Your valuable information will be highly appreciated.
Thanks
Chen
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