基于FIDE的模糊控制程序设计     

胡均万 《零陵学院学报》2003,24(5):59-61

FIDE是由Aptronix公司开发的一个性能超群的模糊逻辑开发环境，FIDE涵盖了模糊程序开发的全过程，并且可以自动产生Motorola单片机的汇编代码。大大缩短模糊系统的开发周期，降低开发成本，本主要介绍FIDE的基本特点和操作方法^[1,2]。  相似文献   

二难推理在司法工作中的应用——对“坦白从宽，抗拒从严”刑事政策的质疑     

邓玉竹  王锦 《贵阳金筑大学学报》2004,(4):21-23

“坦白从宽,抗拒从严”的刑事政策在司法实践中产生多个二难命题,从犯罪嫌疑人“坦白”与“抗拒”的两难、侦查讯问人员“宽”与“严”的两难及“保护人权与惩罚犯罪”的两难三个方面质疑这一刑事政策;并提出“政策法定化”的修改建议。  相似文献   

试论亚里士多德的三段论思想     

杨爱群 《赣南师范学院学报》2003,(5):24-26

三段论是古希腊学者、"逻辑学之父"亚里士多德逻辑学的核心思想,本文对亚氏三段论思想体系的特点及其内容进行了分析和概括,同时对其在逻辑史上的历史地位进行了简要评述。  相似文献   

Bayesian Inference and Application of Robust Growth Curve Models Using Student's t Distribution     

Zhiyong Zhang  Keke Lai  Zhenqiu Lu  Xin Tong 《Structural equation modeling》2013,20(1):47-78

Despite the widespread popularity of growth curve analysis, few studies have investigated robust growth curve models. In this article, the t distribution is applied to model heavy-tailed data and contaminated normal data with outliers for growth curve analysis. The derived robust growth curve models are estimated through Bayesian methods utilizing data augmentation and Gibbs sampling algorithms. The analysis of mathematical development data shows that the robust latent basis growth curve model better describes the mathematical growth trajectory than the corresponding normal growth curve model and can reveal the individual differences in mathematical development. Simulation studies further confirm that the robust growth curve models significantly outperform the normal growth curve models for both heavy-tailed t data and normal data with outliers but lose only slight efficiency for normal data. It appears convincing to replace the normal distribution with the t distribution for growth curve analysis. Three information criteria are evaluated for model selection. Online software is also provided for conducting robust analysis discussed in this study.  相似文献   

基于关联理论的话语理解     

孙茗 《惠州大学学报》2013,(5):76-80

在认知背景下的关联理论把语用推理和语言理解紧密地联系起来,将该理论运用于分析在特定语境下已知信息和隐含信息之间的相互作用,并用于指导交际时对话语的理解是本文研究的重点。通过介绍认知语用学中的关联理论,文章指出该理论的相关原则可以从语音语调推理、逻辑推理、角色推理和背景推理四方面帮助听话人理解和分析说话人的真正意图,准确把握会话含义,以期推动谈话双方的顺利沟通。  相似文献   

信息推理及其运用     

董汉庭 《情报杂志》1991,10(3):14-18

生动的事实说明,信息推理对领导的科学决策是何等的重要。通过推理,可促进信息深化,扩大信息量,使信息增值,发掘信息的潜在作用。实践中,经常使用的信息推理方法有:联想推理、因果推理、类比推理、假设推理、反向推理和预测推理等几种。  相似文献   

篇章交际意图解读策略之管窥——兼析岳飞词《小重山》的交际意图     

罗钱军 《培训与研究》2011,28(1):30-33

语言交际活动涉及两个意图：信息意图和交际意图。交际意图指的是发话人向受话人显明某种信息的用意。阅读理解也是一种语言交际活动,参与这一活动的阅读者充当的就是信息接受者的角色,他不仅要了解作者的信息意图,还要领会作者的交际意图。篇章交际意图即篇章指向,是篇章的主要基本思想。在生成任何一个篇章时,创制者总是从交际意图出发构思全文,运用各种手段,力求篇章交际意图被接受者所理解。本文运用语言学中篇章分析和关联论的有关理论,以岳飞词《小重山》为例证,探讨理解篇章交际意图的方法。  相似文献   

Why does the president tweet this? Discovering reasons and contexts for politicians’ tweets from news articles     

《Information processing & management》2022,59(3):102892

Politicians’ tweets can have important political and economic implications. However, limited context makes it hard for readers to instantly and precisely understand them, especially from a causal perspective. The triggers for these tweets may have been reported in news prior to the tweets, but simply finding similar news articles would not serve the purpose, given the following reasons. First, readers may only be interested in finding the reasons and contexts (we call causal backgrounds) for a certain part of a tweet. Intuitively, such content would be politically relevant and accord with public’s recent attention, which is not usually reflected within the context. Besides, the content should be human-readable, while the noisy and informal nature of tweets hinders regular Open Information Extraction systems. Second, similarity does not capture causality and the causality between tweet contents and news contents is beyond the scopes of causality extraction tools. Meanwhile, it will be non-trivial to construct a high-quality tweet-to-intent dataset.We propose the first end-to-end framework for discovering causal backgrounds of politicians’ tweets by: 1. Designing an Open IE system considering rule-free representations for tweets; 2. Introducing sources like Wikipedia linkage and edit history to identify focal contents; 3. Finding implicit causalities between different contexts using explicit causalities learned elsewhere. We curate a comprehensive dataset of interpretations from political journalists for 533 tweets from 5 US politicians. On average, we obtain the correct answers within top-2 recommendations. We make our dataset and framework code publicly available.  相似文献   

《荀子》论辩推理探究     

林小燕 《陕西教育学院学报》2014,(3):116-119

荀子作为先秦时期伟大的思想家,其《荀子》一书涉及内容广泛,论辩严谨与荀子的学说主张相关。荀子认为,君子必辩,注重"虑"、"谋"使文章具有说服力。从逻辑推理的角度,从演绎推理、归纳推理、类比推理三个方面分析了《荀子》的推理方式,窥豹其论辩魅力。  相似文献   

认知语境在大学英语词汇教学中的应用     

常婧 《齐齐哈尔师范高等专科学校学报》2014,(3):147-149

认知语境在话语交际中有十分重要的地位。话语的理解过程就是通过语境寻找最佳关联的推理过程。词汇理解的过程和言语交际一样,同样具有关联性和推理性。它是以词汇原型意义为基础,寻求原型意义与语境之间最佳关联的语义推理过程。认知语境为词义理解提供了推理依据,词义的选择和重构都是由认知语境决定的。在英语词汇学习中,学生不仅可以利用认知语境确定生词的具体意义,从词汇的多个义项中选择与语境有最佳关联的意义,也能依据特定语境下的认知语境重新构建词汇的新义项。从认知语境的角度研究词汇教学为教师提供了课堂词汇教学的启示。  相似文献