基于软计算的资信评估研究

提出了一种基于软计算的企业资信评估模型,它集成模糊数学和遗传算法,用快速遗传k-均值算法进行聚类。结果表明,FGKA和GKA均可得到全局最优解,但FGKA速度远高于GKA。本模型用PowerBuilder和Sybase数据库实现,为ERP中的企业资信评估提供了一个新的方案。     

轻钢结构厂房设计的探讨

探讨了轻钢结构工业厂房建筑设计方面及结构设计方面中的耐火等级、防火分区、防火墙、荷载取值、屋脊垂度控制、钢柱换混凝土柱等问题。     

On sovereign credit migration: A study of alternative estimators and rating dynamics

Different estimators of rating transition matrices have been proposed in the literature but their behaviour has been studied mainly in the context of corporate ratings. The finite-sample bias and variability of three sovereign credit migration estimators is investigated through bootstrap simulations. These are a discrete multinomial estimator and two continuous-time hazard rate methods, one of which neglects time heterogeneity in the rating process whereas the other accounts for it. Panel logit models and spectral analysis are utilized to study the properties of the rating process. The sample consists of Moody's ratings 1981-2004 for 72 industrialized and emerging economies. Hazard rate estimators yield more accurate default probabilities. The time homogeneity assumption leads to underestimating the default probability and greater migration risk is inferred upon relaxing it. There is evidence of duration dependence and downgrade momentum effects in the rating process. These findings have important implications for economic and regulatory capital allocation and for the pricing of credit sensitive instruments.     

The Couples Emotion Rating Form: Psychometric properties and theoretical associations.

The Couples Emotion Rating Form assesses 3 types of negative emotion that are salient during times of relationship conflict. Hard emotion includes feeling angry and aggravated, soft emotion includes feeling hurt and sad, and flat emotion includes feeling bored and indifferent. In Study 1, scales measuring hard and soft emotion were validated by observation of 82 married couples in a series of conflict conversations. Self-report ratings for each emotion corresponded with observer ratings of the same emotion, and the emotion scales produced expected correlations with negative affect. In Study 2, a measure of flat emotion was added to the instrument, and 1,239 married people completed questionnaires. The rating form fit an expected 3-dimensional factor structure, and each scale correlated with a set of theoretically linked constructs. Hard emotion was associated with power assertion, pursuit of self-centered goals, and negative communication. Soft emotion was associated with expressions of vulnerability, pursuit of prosocial goals, and positive communication. Flat emotion was distinct from other emotions in being associated with withdrawal. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Development of the forced-choice rating scale technique.

Forced-choice (FC) rating scales came about because of dissatisfaction with conventional scales. Reliabilities and validities of FC methods compare favorably with other methods. Studies on the FC method show this scale is more resistant than other scales to effects of bias. Formats using 4 favorable items, from which the rater chooses the items most characteristic of the person rated, prove superior to other formats. This superiority appears in validities, reliabilities, and preferences of raters using the form. Conditions under which statement indices are obtained should be as similar as possible to conditions under which the final scale will be administered. Combining FC scores with other scale scores yields better results than using either instrument alone. Ample evidence exists that more research can fruitfully be done in the area. (54 ref.) (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Factorial structure and prognostic significance of premorbid adjustment in schizophrenia.

A sample of 291 resident male schizophrenic patients were rated on the Becker revision of the Elgin Prognostic Scale and on the Phillips Prognostic Rating Scale. 28 items drawn from both scales were factor analyzed. The factors were rotated to both varimax orthogonal solution and to biquartimin oblique solution. The 2 methods yielded a high degree of factorial similarity. 7 factors were: I, Social Withdrawal, Few Interests; II, Inadequate Heterosexual Relationships; III, Socially Undesirable Ward Behavior; IV, Rigid, Flat Affect. and Apathy; V, Insidious Onset; VI, Stubborn and Egocentric; and VII, Chronic Poor Physical Health. Correlations with a measure of chronicity (for 3 social class groupings) indicated that Factors I, II, III, and V have important prognostic power. These findings emphasize the need for a multivariate research approach to premorbid adjustment and the inclusion of the new and prognostically significant Factor III (Socially Undesirable Ward Behavior). (27 ref.) (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

数据质量控制在制丝生产线的应用

介绍济南卷烟厂制丝车间建立完整的数据质量控制体系,对产品的生产过程进行实时的控制,通过过程数据质量控制,保证最终产品质量。并由此引申到绩效考核,以生产过程中的工艺数据作为考核的依据,摒弃人为的主观因素,做到考核的科学、合理。     

Discriminating between pre- versus post-theraplay treatment Marschak Interaction Methods using the Marschak Interaction Method Rating System.

The Marschak Interaction Method (MIM) is a play-based observation used to evaluate parent–child relationship quality. This study examined the ability of the Marschak Interaction Method Rating System (MIMRS) to effectively discriminate between MIMs completed pre- versus post-Theraplay treatment. Eleven parent–child dyads received at least 8 Theraplay sessions. Achenbach Child Behavior Checklists (CBCLs) completed by parents before and after treatment demonstrated significant improvement in child behaviors. Interrater reliability for MIMRS = .75. Results of dependent-samples t test revealed strong effect sizes (Cohen's d) on the total MIMRS score (?1.07) and the nurture and challenge dimensions (?1.50, ?0.76, respectively). Although these results are preliminary and modest in terms of sample size, the MIMRS was successful in capturing change in the parent–child relationship following Theraplay treatment. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Prediction of the Unified Parkinson’s Disease Rating Scale assessment using a genetic programming system with geometric semantic genetic operators

Unified Parkinson’s Disease Rating Scale (UPDRS) assessment is the most used scale for tracking Parkinson’s disease symptom progression. Nowadays, the tracking process requires a patient to undergo invasive and time-consuming specialized examinations in hospital clinics, under the supervision of trained medical staff. Thus, the process is costly and logistically inconvenient for both patients and clinicians. For this reason, new powerful computational tools, aimed at making the process more automatic, cheaper and less invasive, are becoming more and more a necessity. The purpose of this paper is to investigate the use of an innovative intelligent system based on genetic programming for the prediction of UPDRS assessment, using only data derived from simple, self-administered and non-invasive speech tests. The system we propose is called geometric semantic genetic programming and it is based on recently defined geometric semantic genetic operators. Experimental results, achieved using the largest database of Parkinson’s disease speech in existence (approximately 6000 recordings from 42 Parkinson’s disease patients, recruited in a six-month, multi-centre trial), show the appropriateness of the proposed system for the prediction of UPDRS assessment. In particular, the results obtained with geometric semantic genetic programming are significantly better than the ones produced by standard genetic programming and other state of the art machine learning methods both on training and unseen test data.