fuzzy set theory

Terms from Artificial Intelligence: humans at the heart of algorithms

The glossary is being gradually proof checked, but currently has many typos and misspellings.

Fuzzy set theory is one of the forms of fuzzy reasoning. Rather than saying a set has a precise collection of members, values are assigned a level of memership between 0 and 1. So that member(x,S)=1 means that x is definitely a member of the set S; member(y,S)=0 means that y definitely is not, and ; member(z,S)=0.5 means we aren't really sure about z.

Used in Chap. 3: page 30

Also known as fuzzy sets