摘要
随着网络计算系统的发展,网络系统的可信度成为制约其发展的关键。针对这一情况,提出一种网络计算系统的区间直觉模糊信任模型。首先,将信任评价的语义标签映射成区间直觉模糊数进行量化,使得模型可以全面的描述语义标签的模糊性和完备性。其次,利用区间直觉模糊数及其精确函数进行信任值计算。最后通过对模型算法进行试验仿真,仿真情况简要描述。结果表明该模型能有效、合理地对网络进行信任评价,具有一定的理论意义。
With the development of network computer system, the credibility of the network system becomes the key factorrestricting its development. In view of this, certain interval intuitionistic fuzzy trust model of network computingsystem is herebyproposed.Firstly, semantic tags of trust evaluation are mapped into interval intuitionistic fuzzy numbers for quantification, so the model can fully describe theambiguity and completeness of semantic tags. Secondly,interval intuitionistic fuzzy numbers and exact functions are applied to the calculation oftrust value. Finally, the model algorithm is tested and simulated, thesituation of which is meanwhilebriefly described. Research results show that this model can perform trust evaluation effectively and reasonably,which is of certain theoretical significance.
作者
朱超军
陈婉如
ZHU Chaojun;CHEN Wanru(Sichuan Judicial and Police Officers Professional College,Deyang,Sichuan 618000;Chengdu Aeronautic Polytechnic,Chengdu 610100)
出处
《成都航空职业技术学院学报》
2019年第3期66-72,共7页
Journal of Chengdu Aeronautic Polytechnic
关键词
网络计算系统
区间直觉模糊数
可信网络
network computing system
interval-valued intuitionistic fuzzy number
trustednetwork
