1) stochastic axiom
随机偏爱公理
1.
Furthermore,the rule s satisfaction of the stochastic axioms is inspected,and two rational properties of the rule are atudied.
对于各决策个体可以做出随机偏爱判断的群体决策问题,本文给出随机α较多规则,检验了此规则满足随机偏爱公理系的情况,并且进一步研究了它的两个理性性质。
2) stochastic preference
随机偏爱
1.
For group decision making problems with stochastic preference,a majority stochastic preference rule of group ordering of alternatives was provided.
对于各决策个体可以作出随机偏爱排序判断的群体决策问题,给出一个群体对所有供选方案进行偏爱排序的随机型较多规则,检验了此规则满足随机偏爱公理的情况,并且进一步研究了它的两个理性性质。
2.
This paper introduces the concepts of stochastic Borda-number for an alternative and stochastic Borda-number mapping on a set of alternatives for group decision making problem with stochastic preference information.
对于具随机偏爱信息的群体决策问题,本文引入供选方案的随机Borda数和 供选方案集上的随机Borda数映射概念。
3.
For ordinal-type group decision making problems,a class of stochastic Borda-number rule with individual stochastic preference is provided in this paper.
对于序数型的群体决策问题,本文提出一类决策个体具随机偏爱的随机 Borda 数式规则。
3) majority stochastic preference rule
随机较多偏爱规则
4) α-majority stochastic preferencd rule
随机α较多偏爱规则
5) Random deviation theorem
随机偏差定理
1.
In this paper, a strong limit theorem represented by inequalities with random bounds which we call a random deviation theorem on Sn(i0,i1,…,im-1,ω) which hold for arbitrary countable non-homogeneous Markov chains is obtained.
本文给出了关于Sn(i0,i1,…,im-1,ω)的一个对任意可列非齐次马尔可夫链普遍成立的随机偏差定理,即用不等式表示的一个强极限定理。
6) stochastic bias
随机偏差
1.
Separate stochastic bias two-stage decoupled wiener filters;
分离随机偏差两段解耦Wiener滤波器
2.
Using modern time-series analysis method,based on the autoregressive moving average(ARMA)innovation model and white noise estimators,a new two-stage decoupled Wiener filters are presented for descriptor systems with stochastic bias.
应用现代时间序列分析方法 ,基于ARMA新息模型和白噪声估值器 ,提出了一种分离随机偏差两段解耦Wiener滤波新方法 ,同两段解耦Kalman滤波理论相比 ,避免了解Riccati方程 ,实现了完全解耦。
补充资料：公理化方法(见公理化和形式化)
公理化方法(见公理化和形式化)
axiomatical method
gongllbuafangfa公理化方法化和形式化。(axiomatieal method)见公理
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条