基于搜索的空间方向关系推理

方向关系是空间关系的重要组成部分,用以确定空间对象间的一种顺序．讨论了方向关系的定性表示模型和基于方向关系组合运算表的方向关系定性推理,介绍了求解约束满足问题（CSP）的回跳搜索算法。并将回跳搜索算法用于方向关系组合运算表的定性推理．     

康德定言命令的道德变革与实践困境

康德以纯粹理性形而上学为基础,强调善良意志和定言命令的实践理性价值.以定言命令为核心的道德形而上学实践理性排斥伦理学经验论,弘扬人的主体能动性,在西方伦理学引起了重大的道德哲学方向性转变.然而,定言命令具有形式化和僵化的普遍化特征,存在严重的形而上矛盾和现实困境,受到黑格尔等人的伦理学批判以及马克思主义唯物主义实践论的超越.     

基于CBR技术的员工流失风险识别方法

员工流失风险识别是企业发现并准确识别各种员工流失风险因素的过程,是企业制定相应的员工流失风险管理措施的基础。基于员工流失风险识别的特征,讨论一种基于实例的推理技术在员工流失风险识别过程中的具体应用,重点研究风险识别实例的知识表示、组织管理及检索与匹配方法,为企业有效实施员工流失风险管理提供解决方案。     

A case-based distance method for screening in multiple-criteria decision aid

Screening is a process of multiple-criteria decision aid (MCDA) in which a large set of alternatives is reduced to a smaller set that most likely contains the best choice. We propose screening using a distance model calibrated on the basis of the decision-maker's own judgement. Viewing MCDA as preference aggregation based on consequence data, we define consequence and preference expressions (values and weights) and describe how they are aggregated. Then we define screening and explain some of its properties. Using an appropriate definition of distance, our case-based distance method screens a set of alternatives using criterion weights and a distance threshold obtained by quadratic optimization using the decision-maker's selection of alternatives from a test set. This case-based method can elicit the decision maker's preferences more expeditiously and accurately than direct inquiry. An application in water supply planning is used to demonstrate the procedure.     

Survival Analysis For A Sequenced Clinical Trial With Covariates

In this paper we discuss the survival analysis for a clinical trial in which treatment categories and general prognostic data are realised at different stages during a patient's survival time. In the light of possible strategies for the parsimonious modelling of such data, a corresponding sequence of illustrative analyses is presented. Detailed results are given for a weighted least squares analysis and these generally agree with those obtained by maximum likelihood.     

Phase-II monitoring and diagnosing of multivariate categorical processes using generalized linear test-based control charts

In this paper, two control charts based on the generalized linear test (GLT) and contingency table are proposed for Phase-II monitoring of multivariate categorical processes. The performances of the proposed methods are compared with the exponentially weighted moving average-generalized likelihood ratio test (EWMA-GLRT) control chart proposed in the literature. The results show the better performance of the proposed control charts under moderate and large shifts. Moreover, a new scheme is proposed to identify the parameter responsible for an out-of-control signal. The performance of the proposed diagnosing procedure is evaluated through some simulation experiments.     

基于随机森林模型的分类数据缺失值插补

缺失数据是影响调查问卷数据质量的重要因素,对调查问卷中的缺失值进行插补可以显著提高调查数据的质量。调查问卷的数据类型多以分类型数据为主,数据挖掘技术中的分类算法是处理属性分类问题的常用方法,随机森林模型是众多分类算法中精度较高的方法之一。将随机森林模型引入调查问卷缺失数据的插补研究中,提出了基于随机森林模型的分类数据缺失值插补方法,并根据不同的缺失模式探讨了相应的插补步骤。通过与其它方法的实证模拟比较,表明随机森林插补法得到的插补值准确度更优、可信度更高。     

Made sense and remembered sense: Sensemaking through abduction

The purpose of this article is threefold: to present a general framework for investigating processes of reasoning and problem solving in market-related situations that are not transparent, to present some central processes involved in sensemaking, and to present a set of key elements of abductive reasoning. The paper focuses on the processes involved in making sense, on the on-line generation of explanations, and on logics more suitable for on-line and commonsense reasoning than classical logic. Although some of the roots of experts' reasoning must be aleatory (probabilistic), the focus of the paper is epistemic (causal) reasoning in ill-structured domains. The professional decision maker is seen as equipped with a diverse mental toolbox. The on-line making of new sense is a process that we are only beginning to understand. Likewise, the process involved in strategy shift and the changing of mind are not well understood. Nonmonotonic, abductive reasoning is presented as a framework within which we can start to understand, and possibly re-evaluate on-line and creative economic decision making.     

基于分布式序关系的双边匹配决策方法

针对具有不完全偏好序值信息的项目-员工匹配决策问题,给出了一种考虑同组员工间具有同事偏好关系的匹配决策方法。首先对匹配双方给出的不完全偏好序信息规范化处理,转化为等级置信度形式。其次,以规范化的等级置信度匹配信息为证据,融合获得项目与员工、员工与员工的融合总信度,并进一步转化为匹配满意度,以项目–员工、员工–其他员工的匹配满意度最大化为目标构建并求解考虑同事偏好的匹配决策模型。最后通过一个算例说明了所提方法的可行性和有效性。