Optimization with multiple fuzzy goals in stereotactic treatment planning

抄録

A fuzzy optimization method in stereotactic treatment planning is presented. Instead of strict twovalued (1 or 0; YES or NO) assignments and decisions, the present algorithm affords a more flexible way to build treatment plans by using a continuous range of true values for constraints. Furthermore, multiple objectives can be considered simultaneously in the proposed fuzzy optimization. Compared with ordinary methods, the present method is desirable not only for its capability to reduce the risk in giving inconsistent constraints but also for its capability to obtain a better treatment plan.