连续函数压缩映射问题的讨论

就连续函数应用问题的教学内容进行探讨.介绍数列和连续函数的压缩映射原理及其在方程求解,数学建模等方面的应用,并给出压缩映射的一般形式.续而通过压缩映射原理在图像处理和导航系统中的应用,阐明创新思想的重要性,以求开拓学生的思路和想象空间.     

高等数学中映射与函数概念的教学

在映射与函数概念的教学中,由映射的基本概念和性质出发给出了函数的概念.从映射的角度扩展函数的概念,引出了高等数学及相关后续课程中的一些基本内容,帮助学生了解多元函数、复变函数、线性代数和泛函分析等相关后续课程.     

直觉模糊集的扩展原理

基于文[1]给出的直觉模糊集的截集、分解定理和表现定理,利用模糊集的扩展原理,本文建立了直觉模糊集的扩展原理.首先,给出了直觉模糊集的扩展原理及其等价形式;其次,讨论了直党模糊集的扩展原理的有关性质;最后,研究了复合函数的直觉模糊集扩展原理及其性质.     

一般扩展原理

本文中称Ｚａｄｅｈ（１９７５）给出的扩展原理为极大扩展原理，我们给出了一个极小扩展原理，并研究了它的一些基本性质。之后，建立了一般扩展原理的公理化结构，并给出了几种具体结构形式，为近似推理和信息分析提供了有效的工具。     

一种新型模糊映射

模糊映射在模糊优化、模糊评判、模糊控制和模糊决策等领域有着大量的应用。通过对Zadeh扩展原理和极小扩展原理的研究,提出了一种新型模糊映射,它是极小扩展原理的推广。另外,对该新型模糊映射进行研究,得到了它在模糊集运算下的性质以及一个模糊集在该新型模糊映射下的像的分解定理。最后,讨论了模糊集与新型模糊映射的相容性问题,得到了模糊集在新型模糊映射下的最小原像定理。     

两个微分中值定理证明中辅助函数的多种作法

在数学分析中 ,三个微分中值定理极为重要 .在证明 Lagrange中值定理和 Cauchy中值定理时 ,都少不了作辅助函数 ,各种版本的《数学分析》或《高等数学》书本中 ,都只给出了一种形式的辅助函数 .为了扩展思路 ,给出了多种形式的辅助函数 ,并得出了一般形式 .     

向量值映射的恰当锥拟凸性和锥半连续性的刻画北大核心CSCD

首先讨论了一个非线性标量化函数的基本性质并给出了其对偶形式.在此基础上建立了对向量值映射的恰当锥拟凸性的刻画.然后提出了锥形邻域的概念并给出了向量值映射的一类新的锥半连续性的统一定义.最后通过两个非线性标量化函数得到了对向量值映射的锥半连续性的完整刻画.     

连续统与集函数Г

本文对集函数Γ的某些性质作了研究。我们给出Γ关于连续映射、单调映射、开映射的映射性质,也给出了集函数Γ可加性、对称性的一些结果。     

基于模糊综合函数的目标属性识别模型

应用模糊集理论量化了防空火力单元识别结果,利用模糊综合函数对火力单元的量化结果进行综合,并给出了信任函数的表达式。     

利用不动点方法求递推数列的极限

求递推数列的极限是数列极限中一个非常重要的内容,常用单调有界定理,压缩映射原理解决.本文利用不动点给出该类数列的解法,在解决复杂问题中有一定的优越性.     

B-vex Fuzzy Mappings and Its Application to Fuzzy Optimization Problems

Ｂ－ｖｅｘＦｕｚｚｙＭａｐｐｉｎｇｓａｎｄＩｔｓＡｐｐｌｉｃａｔｉｏｎｔｏＦｕｚｚｙＯｐｔｉｍｉｚａｔｉｏｎＰｒｏｂｌｅｍｓ￥ＬｉｕＤｅｆｅｎｇ（ＩｎｓｔｉｔｕｔｅｏｆＱｕａｎｔｉｔａｔｉｖｅＥｃｏｎｏｍｉｃｓ，ＤｏｎｇｂｅｉＵｎｉｖｅｒｓｉｔｙＯｆ...     

Classification of Three-word Indicator Functions of Two-level Factorial Designs

Indicator functions have been in the literature for several years, and yet only a few of their properties have been examined. In this paper, we study some properties of indicator functions of two-level fractional factorial designs. For example, we show that there is no indicator function with only two words, and also classify all indicator functions with only three words. The results imply that there is no valuable non-regular design with only three or less words in its indicator function.     

A Littlewood-Richardson rule for factorial Schur functions

We give a combinatorial rule for calculating the coefficients in the expansion of a product of two factorial Schur functions. It is a special case of a more general rule which also gives the coefficients in the expansion of a skew factorial Schur function. Applications to Capelli operators and quantum immanants are also given.

     

Fuzzy variables

The purpose of this study is to explore a possible axiomatic framework from which a rigorous theory of fuzziness may be constructed. The approach we propose is analogous to the sample space concept of probability theory. A fuzzy variable is a mapping from an abstract space (called the pattern space) onto the real line. The membership function is obtained as the extension of a special type of capacity (called a scale) from the pattern space to the real line via the fuzzy variable. In essence we are proposing an entirely new definition of a fuzzy set on the line as a mapping to the line rather than on the line. The current definition of a transformation of a fuzzy set is obtained as a derived result of our model. In addition, we derive the membership function of sums and products of fuzzy sets and present an example which reinforces the credibility of our approach.     

模糊系数规划

给出了一模糊系统规划的定义,该定义与通常的模糊规划义有所不同,它容许规划中的目标函数系数和所有约束函数系数可以是模糊数,并且容许既有模糊系数不等式的束函数又有模糊和所有约束函数系数都可以提模糊数,并且容许既有模糊系数不等式的束函数又有模糊系数等式约束函数,本文还对满足一定条件的模糊系数规划,包括模糊系数线性规划和模糊系数二次规划,给出了切实可行的求解方法。     

模糊概念格

概念格是研究和处理概念内涵与外延确定性关系的数学方法 ,已成为一种有效的数据分析方法。本文进一步探讨概念内涵与外延的不确定关系的模糊映射 ,给出相应的隶属函数的一些基本数学性质 ,证明全体模糊概念构成一个完全格。     

The Shapley function for fuzzy cooperative games with multilinear extension form

In this paper, the definition of the Shapley function for fuzzy cooperative games is given, which is obtained by extending the classical case. The specific expression of the Shapley function for fuzzy cooperative games with multilinear extension form is given, and its existence and uniqueness are discussed. Furthermore, the properties of the Shapley function are researched. Finally, the fuzzy core for this kind of game is defined, and the relationship between the fuzzy core and the Shapley function is shown.     

On fuzzy topological spaces

In this paper, a few separation properties and some aspects of subspace fuzzy topology have been studied, where both the crisp and the fuzzy elements have been taken into consideration. Since the conventional definition of compactness is not quite meaningful in Hausdorff fuzzy spaces (as introduced by us), a new more natural definition of proper compactness is given and a few properties resulting from this are established.     

Examples of fuzzy metrics and applications

In this paper we present new examples of fuzzy metrics in the sense of George and Veeramani. The examples have been classified attending to their construction and most of the well-known fuzzy metrics are particular cases of those given here. In particular, novel fuzzy metrics, by means of fuzzy and classical metrics and certain special types of functions, are introduced. We also give an extension theorem for two fuzzy metrics that agree in its nonempty intersection. Finally, we give an application of this type of fuzzy metrics to color image processing. We propose a fuzzy metric that simultaneously takes into account two different distance criteria between color image pixels and we use this fuzzy metric to filter noisy images, obtaining promising results. This application is also illustrative of how fuzzy metrics can be used in other engineering problems.     

On distorted probabilities and m-separable fuzzy measures

Fuzzy measures are used in conjunction with fuzzy integrals for aggregation. Their role in the aggregation is to permit the user to express the importance of the information sources (either criteria or experts). Due to the fact that fuzzy measures are set functions, the definition of such measures requires the definition of 2ⁿ parameters, where n is the number of information sources. To make the definition easier, several families of fuzzy measures have been defined in the literature.In this paper m-separable fuzzy measures are introduced. We present some results on this type of measures and we relate them to some of the previous existing ones. We study generating functions for m-separable fuzzy measures and some properties related to these generating functions.