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decision weights
相关语句
  决策权重
     Chain comparison method to determine the relative decision weights
     确定相对决策权重的链比较法
短句来源
     Value function and decision weights function are presented too. The end of this part makes a simple statement on the contributions and limitations of prospect theory.
     这部分内容主要介绍了与人们决策选择有关的心理学原理、前景理论中的三种效应(确定性效应、反射效应和分离效应)以及在此基础上总结出来的主观价值函数和决策权重函数,并简单评价了前景理论的贡献和存在的不足。
短句来源
  决策权
     In this paper, decision table is presented based on the grey cluster decisions and minimal decision algorithms is found from decision table by using the rough sets theory. Based on the grey synthetic decision weights, a new discretization method for decision table is given.
     利用灰色聚类决策的机制构建决策表,然后利用粗糙集理论从决策表中挖掘出极小化决策算法,并提出了基于灰色综合决策权的决策表离散化方法.
短句来源
  相似匹配句对
     On Weights for Sustainable Public Decision Support
     权重在可持续公共智能发展中的应用机制研究
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     Marine engine evaluation model weights decision
     舰艇主机评估体系中的权重的群决策
短句来源
     ON DECISION OF MACROSYSTEMS
     宏观系统的决策
短句来源
     g birth weights.
     出生体重 >35 0 0g占 81 7% ;
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     Decision&information
     信息快递
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  decision weights
A unified treatment of subjective decision weights results for most of the decision models popular today.
      
The method allows the quantitative determination of subjective beliefs or decision weights without invoking additional separability conditions, and generalizes the Savage-de Finetti betting method.
      
We found a similar effect of knowledge on the sum of decision weights.
      
We also elicited the decision weights for events and complementary events.
      
Thus, a tractable manner for measuring decision weights under ambiguity is obtained.
      
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This paper studies a design method of decentralized signal detection system which consists of adaptive fuzzied local-detectors and a data fusion rule of on-line self-learning weights. The local--detectorS for inaccurate signal parameters are modeled by means of fuzzy sets which can be adapted to change of the inaccurate signal paraxneteres. The data fusion center Where the optimal decision rules are used as objective function can learn the local decision weights on-line. The robustness of the fuzzied local-detectors...

This paper studies a design method of decentralized signal detection system which consists of adaptive fuzzied local-detectors and a data fusion rule of on-line self-learning weights. The local--detectorS for inaccurate signal parameters are modeled by means of fuzzy sets which can be adapted to change of the inaccurate signal paraxneteres. The data fusion center Where the optimal decision rules are used as objective function can learn the local decision weights on-line. The robustness of the fuzzied local-detectors and the adaptability of the self-learned fusion rule make it true that the detection performance of the decentralized detection system is improved under uncertainty and this system can also process the decentralized signal detection with a unknown parameter of unknown distribution or non-random unknown parameter.

本文研究了一种由局部自适应模糊检测器和在线自学习融合算法所构成的分布式信号检测系统的设计方法由模糊集对不精确信号参数的局部检测器进行建模,该模糊模型可自适应不精确信号参数的变化,融合中心以最佳融合规则作为目标函数在线自学习局部判决的权重.局部模糊检测器的鲁律性和自学习融合算法的自适应性使该分布式检测系统在不确定环境下的检测性能得到提高也使该系统能够处理未知分布的未知参数以及非随机未知参数的分布式信号检测.

Background-Objective: Allais paradox (Allais, 1953) demonstrated behavior in contradiction to the independence axiom of expected utility theory and was then considered as a lever that moved EU. To date numerous revamped theories have been proposed in an attempt to resolve Allais' paradox without discarding the expectation rule, and most of them were based on the assumption that the utilities of outcomes were no longer multiplied by linear probabilities, but by nonlinear decision weights which did not necessarily...

Background-Objective: Allais paradox (Allais, 1953) demonstrated behavior in contradiction to the independence axiom of expected utility theory and was then considered as a lever that moved EU. To date numerous revamped theories have been proposed in an attempt to resolve Allais' paradox without discarding the expectation rule, and most of them were based on the assumption that the utilities of outcomes were no longer multiplied by linear probabilities, but by nonlinear decision weights which did not necessarily conform to the rules of mathematical probability. The risky choice behavior was, however, simply seen by the equate-to- differentiate model as a choice between the best possible outcomes or a choice between the worst possible outcomes. The paradox arose because the final choice was not consistently based on a single fixed dimension (either the best possible or the worst possible outcome dimension) in each pair of choices. Method: In searching for evidence of whether decision-makers were indeed guided by the equate-to- differentiate rule in making their choices when faced with the Allais' problems, a so-called "judging" task was designed in the present study to help test the equate-to-differentiate account in further detail. Operationally, the outcomes of prospects on both the best and the worst possible outcome dimensions were paired in the present task. Subjects were then asked to choose the pair with outcomes which were, for them, the most different. If the equate-to-differentiate one-dimensional difference account was correct, then the knowledge of the chosen pair would permit explanation or prediction of option preference. The Allais' two pairs of choice problems, coupled with the judging task, were presented in questionnaire form to business students from the Nanyang Business School of Nanyang Technological University. Results: It was shown in the present experiment that the effect (phi squared) that the judging data were able to account for the variance in choice in relation to the Allais paradox was significant. Conclusion: The results therefore raised doubts about whether people behaved as if they were trying to maximize "something" and added to the evidence that whether the final selection was consistently based on a single fixed dimension was the cause which was most likely to be responsible for a violation of Savage' s sure-thing principle. Though expected utility theory was known to be wrong through the Allais paradox, to rescue it by proposing nonlinear decision weights was very likely to do nothing but hide an old mistake under a new one.

艾勒悖论违背了期望效用(Expected Utility)理论的独立性(independence)原则,成为欲推翻期望效用理论的杠杆。“齐当别”抉择模型不将风险决策行为看成是追求某种“最大期望值”的抉择反应,而将其看成是“最好可能结果之间的取舍”或者“最坏可能结果之间的取舍”。此项研究设计了一“判断”技术,并用此对艾勒设计的选择问题加以检验。实验表明,判断结果所示的“齐当别”策略能满意地对艾勒选择题作出解释。

Based on analysis of the relationship of agricultural water resources and its sustainable development, this paper presents a multiobjective fuzzy optimization model for planting structure, which has a close relationship with the optimal allocation of agricultural water resources, and a new method named fuzzy decision weight is applied to the decision of the objective weight in this paper. This model and method can overcome shortcomings of other methods. The case study proves that the model...

Based on analysis of the relationship of agricultural water resources and its sustainable development, this paper presents a multiobjective fuzzy optimization model for planting structure, which has a close relationship with the optimal allocation of agricultural water resources, and a new method named fuzzy decision weight is applied to the decision of the objective weight in this paper. This model and method can overcome shortcomings of other methods. The case study proves that the model and method are reliable, simple and objective, and the results are reasonable and practical. This is useful for agricultural management.

在分析了我国农业水资源现状与农业可持续发展关系的前提下,提出了与农业水资源优化配置密切相关的作物种植结构的多目标模糊优化模型,并提出模糊定权的方法来确定指标权重,克服了目标函数中用线性评判指标来处理高度非线性多目标问题与确定权重的不足.应用实例表明,该理论模型严谨,物理意义明晰,计算方法简洁,可为区域农业可持续发展规划提供较完善的多目标模糊优化理论、模型与方法.

 
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