在深刻剖析层次分析法的基础上，给出了平均随机一致性指标的算法，并且基于MATLAB软件下予以程序实现。
There gives the algorithm of the mean random consistency index based on studying the method of AHP, and gives its implementation based mathematical ware MATLAB.
根据时序立体数据的特点，提出了基于关联函数一致性矩阵的动态聚类算法。
A dynamic clustering algorithm was proposed based on consistent matrix of dependent function for time series multi-dimensional data.
我们给出两个判断类间关系一致性的算法并分析其性质，还探讨了基于公理的知识的一致性。
Two algorithms for checking relationships between categories are presented and their properties are analyzed. Knowledge consistency analysis based on musicology-specific axioms is also discussed.
在多智能体系统中，“一致性”是指智能体就某些状态量趋于相同，而一致性算法是指多个智能体基于局部信息采取的使得个体状态趋于一致的协议。
In a multi-agent system, consensus means that some of the agents'states reach at the same values, and consensus algorithm is a protocol for agents reach consensus based on local information.
在多智能体系统中，“一致性”是指智能体就某些状态量趋于相同，而一致性算法是指多个智能体基于局部信息采取的使得个体状态趋于一致的协议。
In a multi-agent system, consensus means that some of the agents'states reach at the same values, and consensus algorithm is a protocol for agents reach consensus based on local information.
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