TOWARD A FUZZY MODEL OF POLISH INTERNET MORTGAGE MARKET

This article presents our continuing efforts to develop a model of the Internet-based mortgage market in Poland. It sums up modeling research done over the last 4 years, also showing the stages and the process of building and verifying the proposed model consisting of three submodels. The submodels are described for three market situations; that is, a stable market, financial crisis, and economic boom. The proposed model variables are analyzed statistically and the submodels are verified. The article presents the most current stage of model development and concludes with suggestions for further research in this area leading to the ultimate application of the proposed model in a real-life prognosis process.     

模糊控制推理ASIC

模糊逻辑控制（ＦＬＣ）对于复杂的难定义的控制过程，具有简单而有效等许多优越性。近年来已越来越多也得到工业界的重视。本文提出一种模糊控制推理的ＡＳＩＣ方法，具有简单，灵活性和可扩充性特点，然后介绍一个基于ＦＰＧＡ的实验系统ＦＣＩＳ原型。     

基于模糊理论的地面三维目标识别方法

本文就模糊理论在模式识别领域中的应用 ,对地面三维目标进行模糊模式识别的实现做了一些研究工作 .利用成熟的二维图像识别技术与多对一模型和目标类型建库方法的结合 ,完成对三维目标的识别     

一种FUZZY相关分析方法

线性的相关分析方法只能处理线性相关与否的问题,它无法用来了解是否存在非线性的相关.本文中我们提出一种近似的相关分析方法——Fuzzy 相关分析法,它主要可用于建立 Fuzzy 模型时对 Fuzzy 变量间的相关程度加以度量.此法的原理建立在 Fuzzy 规则模型的基础之上,数学上并不严格.但大量的算例表明,这种 Fuzzy 相关分析方法有相当的实用价值.     

模糊规则的谐调度与矛盾规则的排除方法

本文给出了模糊规则的谐调度，得到了两个模糊规则有公共解的充分必要条件，提供了模糊规则知识库中矛盾规则的排除方法．     

神经网络的模糊规则提取

神经网络的“黑箱问题”为该技术的广泛应用带来了一定限制,由于神经网络在一定条件下可与模糊系统相互转换,从神经网络中提取模糊规则为“黑箱问题”的解决提供了有效手段。本文在阐述基本概念的同时,分析了把连续值网络转化为二值网络和从神经网络到模糊系统的转换进行模糊规则提取的两类方法,通过解决Iris问题的实验结果比较了两类方法的性能。     

一种进化模糊逻辑控制器的新方法

结合进化学习分类器的密歇根和匹兹堡方法的优点,首次将对单条控制规则的评价引入了模糊逻辑控制器（ＦＬＣ）的进化过程中,解决了匹兹堡类型的学习分类器系统“强化信息的带宽窄”的问题,实现了ＦＬＣ在控制器级和规则级的同时进化,控制器的控制规则数目也可以自由变化,实验结果表明新方法有较高的效率,优化的模糊控制器的结构简单,性能良好。     

PROPOSAL OF AN INTERPOLATIVE FUZZY INFERENCE METHOD

In this paper, we propose an interpolative fuzzy inference method, in which the fuzzy relation is represented by the membership functions of the antecedent and consequent parts. The strong point of this method is that the membership function of an inferred conclusion has a simple shape and thus its meaning can be interpreted easily. Firstly, the proposed method is explained, and then it is applied to fuzzy modeling of distributed data. From the modeling result, it was found that the method performed as a possibility distribution model. The proposed method is expected to be effective on a human supervised system, in which a human being takes any action according to the interpretation of a fuzzy inferred conclusion.     

知识库维护过程中检查其协调性的有效方法

本文首先描述了知识库维护过程中的协调性问题，然后给出了扩充逻辑程序设计的框架，在此框架下，每个逻辑程序等价于一个知识库．为了检查知识库的协调性，本文为知识库中的推理规则构造了正支持集和负支持集，并给出了一些定义；基于这些概念和定义，提出了知识库维护过程中检查知识库协调性的一种有效方法，并证明了相关的定理；基于此方法，实现了一个算法ＣＨＩＭＥ，并给出了用ＣＨＩＭＥ分析一些知识库的实验结果．本文还提到一些相关的工作，最后给出结论.     

约束满足问题的局部一致性维护理论与方法

人工智能与计算机科学中的许多问题都可视为约束满足问题,为了简化问题的求解,常采用局部一致性方法减小搜索空间。本文首先介绍与分析了着眼于全局一致性的局部处理的理论与方法,以及尽可能消除回溯因素的局部一致性方法,最后给出了一种在减少局部一致性维护代价上优于已有方法的新算法。     

物理集成的多数据库系统中数据一致性维护方法

局部数据库中的数据与集成数据库中的数据一致性问题一直是采用物理集成策略的多数据库系统的关键问题。本文针对ＣＩＭ环境特点,一种基于松散一致性模型的主副本异步更新机制一公告机制,来解决这一问题,本文详细这了公告机制、公告系统的设计与实现,并给出了公告处理算法,该公告机制已在甸开发的ＣＩＭＳ信息集成平台的原形系统ＳｕｐｅｒＢａｓｅ中得以实现。     

基于二维直方图的模糊门限化方法

针对一维模糊度不能反映图像空间信息的缺点,本文提出了图像二维模糊度的概念,并将其用于门限化,二维门限矢量将二维直方图分为四个象限,其中对角线上的两种象限分别对应着目标象素类和背景象素类,而反对角线上的两种象限则对应着边缘象素和噪声象素,此方法为目标象限和背景象限中的每个元素赋予-[1/2,1]内的隶属度,以反映其属于目标或背景的程度,通过极大化这两个象限的某一模糊测度之和进行门限选择,实验表明,二维模糊方法的效果明显优于一维方法。     

一种关于Agent的模糊认知逻辑

由于经典逻辑不能表示模糊事实,而且Agent也不能利用经典逻辑的方法从模糊事实里获取知识,为了克服经典逻辑方面的不足,提出了一种关于Agent的模糊认知逻辑.首先,介绍了模糊认知逻辑和规则,该方法用数字来表示模糊事实,用模糊逻辑来获取知识.其次,引入了一种反向推理逻辑,利用该方法研究了条件和结论的相关性.最后,主要介绍Agent采用模糊认知逻辑获取知识的过程.     

Intensional theory of granular computing

This paper presents a new idea how the concept of granule can be modeled in formal fuzzy logic. The basic mathematical theory is fuzzy logic in narrow sense with evaluated syntax, which is based on ukasiewicz algebra of truth values extended by the product. We have introduced the concepts of intension and extension of granules, internal and external operations on them, various kinds of relations, motion of granules, and others. The paper also outlines construction of some important examples of granules. At its end, we also introduce a more complex concept of association, which is formed of granules of various kinds. This paper has been supported by the Grant A1187901/99 of the GA AV R and project W-00-016 of the Cz-US scientific cooperation.     

AN ENHANCED DETERMINISTIC FUZZY TIME SERIES FORECASTING MODEL

The study of fuzzy time series has attracted great interest and is expected to expand rapidly. Various forecasting models including high-order models have been proposed to improve forecasting accuracy or reducing computational cost. However, there exist two important issues, namely, rule redundancy and high-order redundancy that have not yet been investigated. This article proposes a novel forecasting model to tackle such issues. It overcomes the major hurdle of determining the k-order in high-order models and is enhanced to allow the handling of multi-factor forecasting problems by removing the overhead of deriving all fuzzy logic relationships beforehand. Two novel performance evaluation metrics are also formally derived for comparing performances of related forecasting models. Experimental results demonstrate that the proposed forecasting model outperforms the existing models in efficiency.     

TOWARD INTEGRATION OF TWO SYSTEM THEORIES BY MESAROVIC AND WYMORE

A function, mapping certain aspects of the Wymore system into the Mesarovic time system ;and vice versa, is established. Furthermore, the state concepts in the Wymore and Mesarovic theories differ only in terms of information content. The mapping defined can be utilized in introducing new concepts to both theories.     

FUZZY MEASURES AND FUZZY INTEGRALS: AN OVERVIEW

This paper provides an overview of fuzzy measures, fuzzy integration theories and Choquet's capacity theory. Belief, plausibility, and possibility measures are characterized as Choquet capacities and as fuzzy measures. The relationship between possibility measures, fuzzy sets, and approximate reasoning is established. Recent results on extensions of fuzzy measures, structural characteristics of fuzzy measures, and convergence of function sequences on fuzzy measure spaces are presented. Fuzzy measure integration concepts due to Sugeno and Choquet and their applications are discussed. An extensive list of references to the literature of fuzzy measures, Sugeno and Choquet integrals, fuzzy probabilities, fuzzy random variables, probabilistic sets, and random sets is provided. Applicalions discussed or referenced include information fusion, information retrieval, approximate reasoning, artificial intelligence, uncertainty theory, and control and decision theory.     

FUZZY SCHEDULING OF REGIONAL QFT CONTROLLERS

A novel optimization-based controller synthesis method is developed for nonlinear dynamic systems with structured parametric uncertainty. Fuzzy logic is used to smoothly schedule independently designed regional robust controllers over the plant's operational envelope. These linear controllers are synthesized using established conventional control design techniques, e.g., quantitative feedback theory. The resulting full envelope nonlinear dynamic controller handles complex dynamic systems which cannot otherwise be addressed by simple fuzzy logic control (FLC). An analytical representation of the membership functions of FLC allows the optimization to chose the location parameters of the regional controllers. The scheduled controller's valid region of operation is maximized, thus efficiently achieving full envelope operation, while guaranteeing pre-specified tracking performance. © 1997 by John Wiley & Sons, Ltd. This paper was produced under the auspices of the US Government and it is therefore not subject to copyright in the US.     

结合粗糙集和模糊聚类方法的属性约简算法

本文针对粗糙集理论的属性约简算法进行了研究。结合模糊聚类方法,提出了一个新的属性约简算法,用户可以根据实际决策需要和领域知识更改阈值λ,从而得到用户满意的属性约简结果。最后利用该文的算法给出了一个实例的约筒结果。     

模糊逻辑系统设计分析

模糊逻辑是以模糊理论为基础，允许用语言和了表示操作和控制规律。实际它比数学方法更好，用直观方法代替复杂数学模型。我们提出一简单模糊系统，说明如何将模糊逻辑引入到该系统中。范例概念直接了当，论文目的不在于设计一个交通灯，而在于说明如何设计一个模糊系统。