中文摘要：

通过考虑模糊理论中的不同模糊T-模算子扩展dezert-smarandache理论(DSmT),发展了一种更一般、更灵活的组合规则来融合不同信息源;并把这种方法与δ领域轮廓匹配方法相结合应用到移动机器人的环境感知中,通过比较不同T-模算子在地图创建中的效果,找到了解决环境感知中不确定信息融合的有效途径.

英文摘要：

Dezert-smarandache theory(DSmT)was extended with fuzzy theory by considering the different Fuzzy T-norm operators,in order to develop a more general and flexible combinational rule for more extensive application.At the same time,fuzzy-extended DSmT was applied to mobile robot′s sensing environment with the help of new self-localization method based on δ neighboring field appearance matching and also the perception effect was compared with different T-norm operators.Finally,an effective approach to solv sens...