The validity of the hypotheses about the role of the examined characteristic X in determining the site activity F is tested using Decision Making Theory and Zadeh’s fuzzy logic.

The valua U, which is called “the utility of usage of the
characteristic X in prediction of the activity F of the given site”, is calculated for
each characteristic X_{zmw}.

1) Simple regression is optimized:

;

f_{0} č f_{1} are regression
coefficients.

2) Deviation values between the regressed and experimental activities are determined:

D _{n} = F_{zmw}(S_{n})
- F_{n}.

3) A total number __22__ conditions of regression analysis

**are tested for the values {F _{zmw}(S_{n}), F_{n},
D _{n}}:**

- for correlations between F_{zmw}(S) and F (linear, sign,
rank, etc.);

- for the equality of the F_{zmw}(S_{n}) č F_{n} distributions;

- for deviations D _{n}.

**This yields the total number 22 values of **