摘要
诸多处理不确定性问题的理论由于各自的侧重点不同,因而相互之间具有很强的互补性。本文研究了将两种常用于处理不完备信息的理论结合来给出一种新的相对约简算法,并给出实例计算结果,证明了算法的可行性。
Many theories used for uncertainty problems are strongly complementary to each other because they focus on different aspects. This study proposes a new relative reduction algorithm by combing two theories which are frequently used to process incomplete information. It has been proved by example that the result is reliable.
出处
《计算机科学与应用》
2011年第1期28-31,共4页
Computer Science and Application