Fuzzy logic has been very useful in environmental studies, especially for modeling, by an ability to admit degrees of uncertainty to elements under analysis, not just the yes or no, but also the perhaps. In this logic the operator is the element that selects the targets, is responsible for the possibilities of combining variables involved in the elaboration of a model. One can find the level of restriction of the result, where only one evidence may suffice to answer or problem, or when more evidence is needed (more restrictive). In order to analyze the differences between 3 operators in the elaboration of a model of vulnerability to soil erosion using fuzzy logic, 5 tests of vulnerability models were created using it. The analysis of the results, from the tests performed with the different operators, showed significant differences between them. You get pessimistic and optimistic scenarios for an area of equality. The product generated by operator E showed a restrictive result. In the operator or it has shown less restrictive and formulated a more pessimistic scenario considering a smaller number of evidences for the vulnerability. The operator Range of different results to modify the value of exponent "g" in 3, 5, 7 and 9. In Gamma 9 the best result was found. It has been found that as areas most susceptible to greater erosion action are in places that combine young soils, pasture areas and on steeper slopes. In this way each operator presents characteristics that can be explored from the dependent or the objective of the researcher.