Abstract: The object of the multi expert decision making is to make an integrated decision on the basis of decisions presented by several experts, which is near the “best” by adapting decision strategy according to examples. The algorithms introduced in this paper divide the whole decision area into several subareas and assign a weight to every expert in each subarea. In this way, the algorithms make the best decision in each subarea. The validity of the algorithms is proved. The decision made by algorithm 1 may approach the best decision presented by some experts in each decision area, and algorithm 2 attempts to make a decision which is more approximate to actual value than that made by the best expert, when all decisions made by experts deviate from the actual value.