Fuzzy set theory has been shown to be an effective tool to overcome the computational difficulties encountered in solving large multiple level programming problems (Shih et al., 1996). In this paper, compensatory operators are introduced for adjusting the decision making process between the different levels and also between the decision makers of the same level. After a brief consideration of the bi-level and three level systems, the large decentralized organizations with both equal and unequal goals are investigated. Various numerical examples are given to compare the influences of compensation and to illustrate the approaches.