(1994) paired an abstract picture, member of an

equivalence class, with mild electric shock (US) that elicited a galvanic skin response (GSR).

Assuming that the first n facets intersect at a vertex, we can choose a representative [LAMBDA] = ([I.sub.n]|[[LAMBDA].sub.*]) for the D-J

equivalence class of [lambda], where [I.sub.n] is the n x n identity matrix and [[LAMBDA].sub.*] is an n x(m - n) matrix.

If [alpha] = < a, [[mu].sub.[alpha]], [v.sub.[alpha]] > [epsilon] IF[[rho].sub.S](R), then we refer to the

equivalence class of [mathematical expression not reproducible], and we refer to the family of all

equivalence classes of a modulo [mathematical expression not reproducible].

If (u, v) [member of] R, it indicates that the objects u and v belong to the same

equivalence class with the equivalence relation R; they are indiscernible.

In a similar way as before, [[alpha]] [conjunction] will denote the

equivalence class with respect to ~[conjunction] that contains [alpha].

However, the product may contain functionally dependent components that have to be found and removed, which just means finding the simplest representative in the

equivalence class for [alpha] x [beta].

The data, which is replaced by the

equivalence class in the anonymization protection algorithm, is more likely to be found in its own laws, is usually used to reflect the development of the object, and is conducive to data mining for partners.

As an application of the main results, it is shown that if we identify every fuzzy number with the corresponding

equivalence class, there would be more differentiable fuzzy functions than what is found in the literature.

Figure 3b is a partition with four

equivalence classes, and each

equivalence class has four points.

So the next level of privacy has been provided using the method called l-diversity [3] which contains l well represented distinct values within an

equivalence class. Though privacy is improved in the l diversity method, it suffers from similarity attack and skewness attack.

Specifically, the sample can be two stimuli of the same

equivalence class or two stimuli of distinct classes.