1) direct trust tree
直接信任树
1.
Focusing on the problem that current dynamic trust aggregation algorithms searching for feedback trust information is based on trust chain in broadcast way,leading to slow in convergence and bad in scalability,a new scalable feedback trust information aggregation algorithm is proposed,in which the concept and definition of direct trust tree(DTT) are presented.
针对现有的动态信任聚合算法中利用基于信任链的广播方式进行反馈信任信息搜索而导致的系统运算收敛慢、可扩展性差等问题,建立了直接信任树(DTT)的概念,并基于DTT提出了一种新的可扩展的反馈信任信息聚合算法。
2) direct trust
直接信任
1.
subjective trust) as the background in the open network,this paper proposed a subjective trust valuation model,provided the concrete and reasonable formula of direct trust and recommendation trust valuation and the other solutions,which had solved the valuation of subjective trust.
以开放式网络环境中主体间的信任(简称主观信任)为研究背景,提出了一个较完整的主观信任评价模型;并给出了合理的直接信任评价和推荐信任评价的计算公式及相关的其他解决办法,解决了主观信任的评价;通过仿真实验的研究与分析,进一步验证了该主观信任评价模型的可行性与合理性。
2.
This paper,beginning from trust relation between entities\',takes the trust domain as research range,quantifies the direct trust between entities and improves and designs it on the basis of Bayesian.
从实体间信任关系需要考虑的因素出发,以信任域作为研究范围,对主体间直接信任进行量化,并在Bayesian理论的基础之上进行改进与设计,实验结果表明对于主体间的不良评估有抑制作用。
3) Direct trust relationship
直接信任关系
4) trust in direct leader
直接领导信任
5) trust tree
信任树
6) direct responsibility
直接责任
1.
The definition is made on the administrative legal responsibility; an analysis is made on the types of the subject of the administrative legal responsibility; the focus is on the conditions under which the public officials undertake the responsibility as well as on the distinction between direct responsibility and indirect responsibility.
对行政法律责任作出界定,分析行政法律责任主体的类型,重点讨论公务员承担行政法律责任的条件以及直接责任和间接责任的区分。
补充资料:不信任案
不信任案 no-confidence motion 议会内阁制国家的议会对政府(内阁)表示不信任的议案。又称不信任决议案。是议会监督政府的一种重要方式。起源于英国。一般是在议会对政府的政策和施政方针持不同意见时提出。议会内阁制国家对不信任案的提出有一定的限制。如意大利宪法规定,不信任案至少必须有众议院 1/10的议员签名,并须在提出之日起 3天后始得提交讨论。在德国,联邦议院只能以多数议员选出继任人,并请联邦总统罢免总理来表示对联邦总理的不信任。议会内阁制国家,当议会通过对政府的不信任案时,政府必须总辞职,或依法提请国家元首解散议会,重新改选,由新议会决定政府的去留。 |
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