实时模糊积分融合决策中,λ求解过程的效率对融合算法的整体效率的提高具有重要意义.本文详细讨论利用牛顿迭代求解λ值的一种数值算法,可满足实时模糊积分融合决策的需要.文中对λ值一般情况下值域及其与模糊密度集{g_i}的相互关系进行分析,得出有意义的结论.对于具体的求解过程,给出一种迭代过程中 f(λ_k)和f′(λ_k)的简洁计算方法.算法收敛快,复杂度低,可广泛应用于工程控制和生产实践. In real-time fuzzy integral fusion decision-making, the efficiency of λ solving process is of great significance to the improvement of the overall efficiency of the fusion algorithm.In this paper, a numerical algorithm for solving λ value using Newton’s iteration is discussed in detail in order to meet the need of real-time fuzzy integral fusion decision. In the general case of λ value and its relationship with the fuzzy density set {g_i}, the conclusion is drawn that there is a significant conclusion.For a specific solution process, we give an iterative process f (λ_k) and f ’ (λ_k). The algorithm converges fast and has low complexity. It can be widely used in engineering control and production practice.