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可信软件系统中基于模糊集理论的信任推理模型研究

On trust reasoning model based on fuzzy sets theory in trustable software system
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摘要 通过分析可信软件系统的信任变化特性,引入母体参数和基本参数,在保证转移矩阵随机性的前提下,利用模糊推理的方法模拟了可信软件系统中信誉的变化情况.实验表明:利用模糊非齐次马尔可夫系统管理软件系统的信誉方法是切实有效的. By bring in population parameters and basic parameters based on analyzing the change of trust of trustable software system, on the premise of chaotic character of the transfer matrix, the change of trust of trustable software system is simulated by using the method of fuzzy reasoning. The experiment results show that manipulating the trust of trustable software system by using Fuzzy Non-Homogeneous Markov System is sensible and effective.
作者 陈洁 许光全
出处 《天津师范大学学报(自然科学版)》 CAS 2008年第4期77-80,共4页 Journal of Tianjin Normal University:Natural Science Edition
基金 天津市高等学校科技发展基金计划项目(20071317)
关键词 模糊非齐次马尔可夫系统 信任推理 可信软件系统 NETLOGO FNHMS trust reasoning trustable software system NetLogo
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参考文献8

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