Considering the complexity and infeasibility of Newton-Leibniz formula in computing some types of integral, it was used the density functions and numerical characteristics of exponential distribution, normal distribution and chi-square distribution to compute three types of integral in calculus. Three computational formulas were got. Through the process of proof, it was found that the convenience of probabilistic method and close relationship between probability theory and calculus.

Considering the fuzziness of indicator weight and indicator value, a talent selection scheme is created. We firstly build up judgment matrix and evaluation matrix based on linguistic variables. Secondly, the linguistic variables are translated to triangle fuzzy numbers and the fuzzy judgment matrix and fuzzy evaluation matrix are got. Thirdly, we get the fuzzy weights of indicators by fuzzy AHP, and get the closeness coefficient and ranking of each evaluated object by fuzzy TOPSIS. At last taking the selection of team member of MCM for example, we illustrate the feasibility and efficiency of the scheme.