Fuzzy K-means clustering models for triangular fuzzy time trajectories

We focus our attention on the classification of fuzzy time trajectories with triangular membership function, described by a given set of individuals. To this purpose, we adopt a fullyinformational approach, explicitly recognizing the informational nature shared by the ingredients of the classification procedure: the observed data (Empirical Information) and the classification model (Theoretical Information). In particular, by supposing that the informational paradigm has a fuzzy nature, we suggest three fuzzy clustering models allowing the classification of the triangular fuzzy time trajectories, based on the analysis of the cross sectional and/or longitudinal characteristics of their components (centers and spreads). Two applicative examples are illustrated.     

模糊语言的独特功能

本文对模糊语言的独特功能从日常生活、文学作品、科学医学三方面进行了探讨 ,从而阐明在自然语言中 ,模糊语言是绝对的、普遍的。语言的模糊性缘于客观事物本身的模糊性及人们对客观世界认识的不确定性。     

析"像X似的"结构关系——兼与张斌、陆俭明等先生商榷

对“像X似的”进行静态的句法切分 ,可以得到两种结果 :(甲 )像 /X似的 ;(乙 )像X/似的。本文首先从“像”、“似的”的实际用法出发 ,将“像X似的”短语分化为两类格式 :A、“像X似的”比况短语 ;B、“像X似的”揣测短语。然后着重对A类的传统 (甲 )式切分进行否定 ,提出新的看法。     

反Fuzzy子群的直积

1990年R.Biswas在[2]中提出了反Fuzzy子群的概念.在此基础上本文相应定义了反Fuzzy子群的直积.接着讨论了其包括正规、共轭情况下的若干性质.此外,还给出了直积μ_1×μ_2是G×G上的反Fuzzy子群的一个充要条件.     

一种改进的图像模糊增强法

基于医学图像对比度差以致正常组织和病态组织难以区分,本文在讨论了Pal.King模糊增强的基础上,对模糊算法进行了改进,改进后的模糊算法效果明显,能增强图像细微细节,提高图像的对比度,改善图像视觉效果,提高诊断的准确性。     

Diverging Paths? A Comparative Look at Childcare Policies in Japan,South Korea and Taiwan

This article compares state policies to support childcare in Japan, South Korea and Taiwan, using fuzzy set ideal type analysis to determine the nature of institutional arrangements with respect to labour, money and time provisions. We then note their implications for familialization and defamilialization in the three countries. Our analysis suggests a common pattern towards the increased use of financial support amongst the three countries over time; however, this commonality does not mean their childcare policies are converging, as the financial supports differ in focus, with Japan concentrating on familialization by valuing family care, and Korea exclusively employing policy to facilitate the use of market‐based care services. For its part, Taiwan has been strengthening familialization by increasing the leave compensation to value time off to provide care. The different labour, money and time dimensions vis‐à‐vis the familialization/defamilialization matrix suggest varying implications of institutional arrangements for gender.     

Construction of Fuzzy Control Charts Based on Weighted Possibilistic Mean

The problem of constructing control charts for fuzzy data has been considered in literature. The proposed transformation approaches and direct fuzzy approaches have their advantages and disadvantages. The representative values charts based on transformation methods are often recommended in practical application. For representing a fuzzy set by a crisp value, the weight of importance of the members assigned with some membership levels in a fuzzy set should be considered, and the possibility theory can be employed to deal with such problem. In this article, we propose to employ the weighted possibilistic mean (WPM), weighted interval valued possibilistic mean (WIVPM) of fuzzy number as a sort of representative values for the fuzzy attribute data, and establish new fuzzy control charts with WPM and WIVPM. The performance of the charts is compared to the existing fuzzy charts with a fuzzy c-chart example via newly defined average number of inspection for variation of control state.     

Estimating E-bayesian and hierarchical bayesian of scalar parameter of gompertz distribution under type II censoring schemes based on fuzzy data

In this study, the E-Bayesian and hierarchical Bayesian of the scalar parameter of a Gompertz distribution under Type II censoring schemes were estimated based on fuzzy data under the squared error (SE) loss function and the efficiency of the proposed methods was compared with each other and with the Bayesian estimator using Monte Carlo simulation.     

企业实施知识管理的效益评价及对策

知识管理的根本目的是提高企业效益和竞争力。本文通过建立模糊综合评价模型,评价了我国企业实施知识管理后取得的效益,针对评价结果分析了我国企业实施知识管理中存在的问题,最后提出了相应的对策。     

企业违约风险因素分析与模糊综合评价

通过比较当前违约风险主流评价方法的优劣 ,论证了选择模糊综合评价法分析违约风险的必要性 ,给出了企业流动性违约和战略性违约的定义 ,并分析了导致企业违约发生的几个主要因素 ,在此基础上 ,运用层次分析和模糊评价法提出了构建了企业违约风险分析的量化模型