查询词典 decision

It just doesn't matter. My decision between breakfast cereals wasn't a biggie. Whichever one I chose, there were never going to be any huge consequences and the ripples from that decision wouldn't have been felt much further than the end of my spoon.

不要过于纠结我关于早餐吃什么谷类的决定没什么大不了的，无论我选择吃哪一种，都不会产生重大的影响，而且伴随这种决定而来的任何感觉在我最后一勺吃完前早已烟消云散。

It just doesn't matter. My decision between breakfast cereals wasn't a biggie. Whichever one I chose, there were never going to be any huge consequences and the ripples from that decision wouldn't have been felt much further than the end of my spoon.

不要过于纠结不要过于纠结我关于早餐吃什么谷类的决定没什么大不了的，无论我选择吃哪一种，都不会产生重大的影响，而且伴随这种决定而来的任何感觉在我最后一勺吃完前早已烟消云散。

My decision between breakfast cereals wasn't a biggie. Whichever one I chose, there were never going to be any huge consequences and the ripples from that decision wouldn't have been felt much further than the end of my spoon.

我关于早餐吃什么谷类的决定没什么大不了的，无论我选择吃哪一种，都不会产生重大的影响，而且伴随这种决定而来的任何感觉在我最后一勺吃完前早已烟消云散。

It just doesn't matter.My decision between breakfast cereals wasn't a biggie. Whichever one I chose, there were never going to be any huge consequences and the ripples from that decision wouldn't have been felt much further than the end of my spoon.

我关于早餐吃什么谷类的决定没什么大不了的，无论我选择吃哪一种，都不会产生重大的影响，而且伴随这种决定而来的任何感觉在我最后一勺吃完前早已烟消云散。

In order to solve dynamic, complicated and uncertain problems, multi-agents based distributed intelligence decision support systems, description and decomposition of complicated decision tasks, and cooperation and reasoning among multi-agents are elaborated in this paper. The details are given as follows. 1. Agent and ABDIDSS modelsIn allusion to the current problems of research on agents theory models, payoff and probability factors are introduced on the basis of mental state models of classical BDI of agent and joint BDI of multi-agents in this paper, mental state models of individual agents and joint metal state models of group agents based on payoff and probability factors are built up. Introducing payoff and probability factors satisfies requirements of uncertainty and self-benefit of agents to the environments.

本文针对动态的、复杂的以及不确定问题，以基于多Agents的分布式智能决策支持系统及复杂决策任务的描述与分解、多Agents之间的协作与推理机制为研究内容，具体的研究内容如下： 1、Agent和ASDIDSS模型针对当前多Agents理论模型研究存在的问题，文章在经典Agent的BDI以及联合BDI等心智状态模型基础上引入效用与概率因子，建立基于效用与概率因子的个体Agent的心智状态模型以及群组Agent联合心智状态模型，引入效用与概率因子满足Agent对环境的不确定性以及自利性的要求。

Then we study investors\' behavour in China by using the questionnaire method from three dimensions—investor\'s knowledge,psychology and behavior and from seven affecting factors—motive,securities investment Knowledge,awareness of risk,investment philosophy,trading,investment decision-making rule and investment performance.Aiming at these investment characteristics we examines the conservative bias and the reasons for the deviation from mental deviation from the emotional,social psychology and cognitive psychology deviation and from over-confidence,loss aversion,conservatism aversion, excessive fear of selective bias,selecting aversion,gambling psychology,self-attribution,the dependence on the policy bias and rapid money-making psychology.And we analyze investors\' several restrictive conditions during investment decision-making including information and knowledge constraints,psychological constraints,funds constraints and external conditions.

本文从全球股灾的教训及近年来我国证券投资者生存现状出发，从理论和实践两个角度论述了加强投资者教育以提高我国投资者在投资过程中的自我保护能力的重要性；采用调查问卷的方法，从投资者的知识、心理、行为三个构面，从入市动机、证券投资知识、风险意识、投资理念、交易行为、投资决策依据及投资业绩等七个影响因素来考察了我国投资者的投资行为；针对这些投资者的行为特征，从情感心理偏差、社会心理偏差和认知心理偏差三个构面，从过度自信、损失厌恶、保守性偏差、过度恐惧、选择性偏差、赌博心理与自我归因、对政策的依赖性偏差以及暴富心理等影响因素出发对我国投资者的认知偏差，以及产生这些偏差的原因进行了分析，探讨了投资者在投资决策时的几个约束条件，即信息约束、知识约束、心理约束、资金约束以及外部条件约束。

This course is an attempt to give the students the basic idea and method of forest management in order to prepare the management plan; Place of forest management in forestry; Content of forest management; Guide principles of forest management; Sustained working; Silvicultural system; Forest yield; Increment; Volume increment; Quality increment; Price increment; Total price increment; Forest maturity; Indicating percent; Productive stage; Physical rotation; Technical rotation; Rotation of maximum volume yield; Highest forest rent rotation; Financial rotation; Cutting cycle of selection system; Normal forest; Normal distribution of age classes; Normal arrangement of stands; Normal increment; Normal growing stock; Normal yield; Improvement of actual forest; Reserve forest; Reserve fund; Planning and plan of forest management; Forest regulation; Area allotment; Volume allotting method; Volume frame work; Area-volume combined frame work; Growing stock; Utilization percent method; Difference method; Pure age-class; Growth method; Control method; Forest subdivision; Forest surveying; Forest survey; Certainty of future policy of forest; Selection of species; Decision of silvicultural system; Decision of rotation; Regulation of future yield; Preparation of management plan; Working the plan; Control and revision of management

本课程之目的为使学生了解森林经营之基本观念及方法，以期编订经营计划，课程包括森林经营学在林学上之地位、森林经营学之内容、森林经营之指导原则、保续作业、森林作业法、森林收获、生长、材积生长、形质生长、腾贵生长、总价格生长、林木成熟期、指率、生产期、自然轮伐期、工艺轮伐期、材积收获最多轮伐期、森林纯益最大之轮伐期、财政轮伐期、择伐林之回归期、法正林、法正龄级分配、法正林分排列、法正生长、法正蓄积、法正伐采额、现时林之改良、预备林、预备金、森林经营上之规划及计划、收获预定、面积配分法、材积配分法、材积平分法、折衷平分法、蓄积法、利用率法、较差法、纯粹龄级法、生长量法、稽核法、森林区划、森林测量、森林调查、将来森林经营方针之确定、树种之选定、作业法之决定、轮伐期之判定、将来收获之预定、经营管理计划之编订、计划之执行、经营管理计划之稽核与检订。

The method is in fact a two-stage procedure, first training and then decision, which is especially suitable for large scale decision making problems.

该方法是一个先训练后决策的过程，特别适于大规模的方案优选问题。

So this paper applied Grey forecasting GM (1,1) model and its generated models, the Grey Markov numerical forecasting model and Comprehension model, to develop a net interest margin change forecasting model, a net interest margin forecasting model, a new decision model concerned with commercial bank interest-sensitive assets portfolio and a new expected return decision model of interest-sensitive assets portfolio.

本文以灰预测GM(1，1)模式，以及其衍生之灰马可夫预测模式与内涵模式，构建新的净利息边际变动率预测模式、净利息边际金额预测模式、利率敏感性资产投资组合最适配置决策模式与利率敏感性资产投资组合最适配置预期报酬率决策模式等利率敏感性缺口管理预测模式。

Xinhua Beijing December 22 as a result of S * ST electric light blue long-term, many times not to require the disclosure of major shareholders and the parties shall account for security matters, a huge amount of money involved, the nature of the poor, the consequences could be serious, S * ST blue light and related parties to the China Securities Regulatory Commission recently received "administrative punishment decision" and "市场禁入decision."

新华社北京12月22日，作为意法半导体的S *电浅蓝色长期结果，多次不要求大股东及关联方披露的事项须考虑安全问题，一个涉及大量金钱，穷人的性质，后果可能很严重，拧*圣蓝光和中国证券监督管理委员会有关人士近日收到&行政处罚决定&和&市场禁入决定。&

For a big chunk of credit-card losses; the number of filings (and thus charge-off rates) would be rising again, whether

年美国个人破产法的一个改动使得破产登记急速下降，而后引起了信用卡大规模的亏损。

Eph. 4:23 And that you be renewed in the spirit of your mind

弗四23 而在你们心思的灵里得以更新