基于粗集理论的属性权重确定方法

通常属性权重的确定方法是根据决策者的先验知识来确定。本文根据粗集理论中属性重要度的判断方法,提出将决策者先验知识给定的权重同粗集理论确定的属性重要度结合起来最终确定属性权重,即基于粗集理论的属性权重确定,实现主观先验知识同客观情况的统一,从而得出更加理想的权重确定结果。     

基于粗集规则编码的神经网络控制器设计

利用通过粗糙集产生的控制规则对神经子网络进行编码,用遗传算法独立进化每一个子网络,把进化后的子网络用改进的遗传算法通过适当连接形成最后的神经网络。利用该神经网络进行在线控制,并和PID控制效果相比较,证明了其有效性。     

Folded over non-orthogonal designs

In this article, we use the notion of minimal dependent sets (MDS) to introduce MDS-resolution and MDS-aberration as criteria for comparing non-orthogonal foldover designs, and discuss the ideas and their usefulness. We also develop a fast isomorphism check that uses a cyclic matrix defined on the design before it is folded over. By doing so, the speed of the check for comparing two isomorphic designs is increased relative to merely applying an isomorphism check to the foldover design. This relative difference becomes greater as the design size increases. Finally, we use the isomorphism check to obtain a catalog of minimum MDS-aberration designs for some useful n$n$ and k$k$ and discuss an algorithm for obtaining “good” larger designs.     

基于CI-TOPSIS的梯形直觉模糊多准则群决策分类方法

模糊群决策分类方法广泛应用于政治、经济与社会生活各个领域，可有效避免个人知识与经验局限性所导致的决策失误。针对信息不完备的多准则群决策问题，提出基于CI-TOPSIS的梯形直觉模糊多准则群决策分类方法。首先，给出梯形直觉模糊集及广义梯形直觉模糊几何聚类算子，兼顾考虑群决策中相应依赖属性与决策者的决策偏好。其次，给出基于离散Choquet积分的TOPSIS算子（CI-TOPSIS），以此为基础，进一步给出基于CI-TOPSIS的梯形直觉模糊多准则群决策分类步骤，用于确定具有最大可信度群体一致案例比较信息集，并逐步引导决策者给出部分及全部方案的精确分类，充分考虑模糊决策环境下决策者偏好与案例比较信息的级别关系。最后，通过一个投资决策实例对所提出的多准则分类方法进行验证。实例分析表明：该方法克服了决策过程中信息的遗漏，充分保留了决策过程中信息的完备性，更适用于直觉模糊群决策环境下的决策实践，是一种非常有效和科学的方法，可应用推广到更多决策领域。本文所得结论，对于有效解决多人多投资方案的群决策问题，具有一定的借鉴意义。     

Expected utility from additive utility on semigroups

In the present paper we study the framework of additive utility theory, obtaining new results derived from a concurrence of algebraic and topological techniques. Such techniques lean on the concept of a connected topological totally ordered semigroup. We achieve a general result concerning the existence of continuous and additive utility functions on completely preordered sets endowed with a binary operation ``+', not necessarily being commutative or associative. In the final part of the paper we get some applications to expected utility theory, and a representation theorem for a class of complete preorders on a quite general family of real mixture spaces.     

Together Forever? Romantic Relationship Characteristics and Prenatal Health Behaviors

Using Fragile Families and Child Wellbeing Data (N= 4,871), this paper examines why relationship status matters for prenatal health behaviors. The paper argues that a mother’s potential investments in her child’s health are conditioned by socioeconomic and interpersonal resources, including the quality of her relationship with the child’s father. Mothers in strained relationships may experience more stress, which is associated with poor prenatal health behaviors. Results show that married mothers exhibit the healthiest prenatal behaviors and that relationship characteristics and dynamics measures, including physical abuse and relationship conflict, predict poor prenatal health behaviors above and beyond confounding factors. In addition, these relationship characteristics explain some of the advantage in prenatal health behaviors married mothers have over unmarried mothers.     

Conservative Stable Standards of Behavior and φ-Stable Sets

Within Luo’s (2001, J. Math. Econ. 36, 95–109) framework of a general system, I establish an equivalence theorem for the conservative stable standard of behavior (CSSB for short) developed by J. Greenberg (“The Theory of Social Situation: An Alternative Game-Theoretic Approach,” Cambridge University Press, 1990). It is shown that a standard of behavior for a situation is a CSSB if, and only if, its graph is a φ-stable set for the associated general system.     

医疗服务标准化的医嘱套餐和临床路径

医嘱套餐和临床路径是实现医疗服务标准化的有效途径。医嘱套餐的特点在于强调程序化和标准化,突出集成性和动态性特征,同时可动态分离和易于改动;临床路径在实现医疗服务标准化方面的特点在于转换医疗服务模式,突出个案管理,具有实际操作性的诊疗标准,同时引入患者参与机制。实施医嘱套餐和临床路径,能够有效规范医疗行为,减少资源浪费,提高医疗工作效率和质量,增加患者满意度。     

PLUG-IN ESTIMATION OF GENERAL LEVEL SETS

Given an unknown function (e.g. a probability density, a regression function, …) f and a constant c, the problem of estimating the level set L(c) ={f≥c} is considered. This problem is tackled in a very general framework, which allows f to be defined on a metric space different from . Such a degree of generality is motivated by practical considerations and, in fact, an example with astronomical data is analyzed where the domain of f is the unit sphere. A plug‐in approach is followed; that is, L(c) is estimated by L_n(c) ={f_n≥c} , where f_n is an estimator of f. Two results are obtained concerning consistency and convergence rates, with respect to the Hausdorff metric, of the boundaries ?L_n(c) towards ?L(c) . Also, the consistency of L_n(c) to L(c) is shown, under mild conditions, with respect to the L₁ distance. Special attention is paid to the particular case of spherical data.     

基于Vague集相似度量的柴油机磨损类故障诊断的研究

柴油机磨损类故障诊断中的一种有效方法是运用油液分析技术，它通过对磨粒的形状、尺寸等参数的分析，实现磨损部位、磨损程度的确定．通常我们只知道磨粒的部分信息，要识别出它究竟属于何种磨粒，需要丰富的经验．因此，研究磨粒识别方法是故障诊断中的关键技术．针对模糊集的推广形式——Vague集，描述了Vague集的含义与相似度量，并提出一种Vague集的相似度量在柴油机磨损类故障诊断中的新方法．在磨损类故障诊断中，Vague集之间的相似度量是评价检测样本磨粒模式接近标准样本磨粒模式的度量，相似度量值越大，检测样本磨粒模式接近标准样本磨粒模式越好，从而根据相似度量值确定磨损故障的类型．通过实例阐明Vague集之间的相似度量在故障诊断中的可行性和合理性，这种方法能给故障诊断以理论依据．