Level cuts are very useful tool to study the theory of fuzzy sets and their applications. It convert the whole fuzzy system to crisp system ( i.e. classical set theory system) which was given by George Cantor.
The level set is a horizontal representation of alpha cuts but sometimes technically incorrect as with alpha cuts we go with the notion of >= and with strong alpha cuts we use > (strictly greater).
Level set also known as α-cut is a crisp set for a fuzzy set consisting of all members of universe of discoure have membership value greater than or equal to α
The value of $\alpha$ which explicitly shows the value of the membership function is in the range of [0,1]. Thus the “level set” is obtained as the collection of all levels in a set.
For detail the book of (First course on fuzzy theory and applications) by KH Lee