质量经济效益及其模糊综合评判

在新时期质量与经济效益的再认识的基础上,提出了顾客价值链全过程最佳组合质量观念与满足顾客需求的质量经济效益观念,从生产者、消费者和社会三个方面考察质量经济效益并选择模糊综合评判法来定量地进行评价.取得了满意的结果.     

因子分析法在工业企业经济效益综合评价中的应用

对现行工业企业经济效益指标体系进行分析 ,提出了改进建议 ,用改进后的指标体系结合几十家企业进行因子分析法的实证研究 ,旨在说明因子分析法在企业经济效益综合评价中的应用     

聚类分析在经济指标分类选择中的应用

经济效益是一个极为重要的问题,使用什么样的经济效益指标来评价企业经济效益,至今没有统一定论;没有明确的一套指标,就不能准确地反映企业经济效益的状况.本文就多元统计理论中的聚类分析对经济效益指标进行分类,在分“类”确定后,就可以从每“类”中,根据经济统计理论造出若干“代表”。组成一套反映企业经济效益的指标.为确定一套考核评价企业经济效益的指标作一尝试. 对指标进行聚类分析是根据指标之间的关系来进行的,本文采用指标之间的相关系数作     

出版社书号分配的优化问题

决策问题是企业活动的重要组成,而决策往往是在市场信息不完备、企业自身数据收集和积累不足的情况下做出的.如何合理地进行决策,以达到优化资源配置的目的,是企业领导需解决的首要问题.出版社书号分配便是这样的一个例子.通过合理的假设,运用最优化原理和方法,确定目标函数为出版社的总收益,同时利用Excel对给出的调查问卷数据进行筛选处理,筛选出出版社编号为P 115的数据信息,即A出版社的信息,删除掉一些对结果影响不太大的数据列,留下包括课程名称在内的主要数字信息以供Matlab编程使用(课程名称里的汉字项以0替换,这项操作也在Excel里实现),然后分别对五年数据的四项满意指标进行处理,确定出对应课程满意度的评价准则.并对其他数据进行统计分析,依次确定出其他各个准则的约束条件,如准确度、人力资源限制等.其中根据专家评判给出目标权值,建立模糊综合评判模型,再由本题中书号和销售量的比例关系计算出2006年的每门课程书号所包含的成本与利润总和,由得出的结果设定优化模型的约束条件.最后利用M atlab软件处理数据,给出了较为合理的最优化模型的运行结果.总社根据这个结果对九个分社进行资源分配,以期达到最好的经济效益.本模型具有良好的可行性和通用性.并可推广到其他类似问题的求解中去.     

关于企业综合经济效益评价模型的讨论──兼与孙书安、刘贤龙等同志商榷

对工业企业活动的经济效益进行定量的计算和比较,是工业管理中的重要课题.利用现有的反映企业经济效益的指标体系,构造客观、合理的综合经济效益评价模型是这个课题的重要之一. 《数理统计与管理》分别于1986年第3期刊登了高元源、毕凤英二同志的《用二级判别法评价企业综合经济效益的探讨》(以下称高文)、1987年第4期刊登了刘贤龙的《对企业经济效益综合指标数学模型的研究》(以下称刘文)三篇文章,对如何正确应用多元统计分析的理论和方法建立企业综合经济效益的评价模型进行了有益的探讨.笔者就上述几文存在的问题陈一管见,并与诸作者的商…     

工业行业发展当前满意度与发展前景分析

本文利用工业统计所得的行业发展信息,构造了“经济效益好”和“综合生产率高”等隶属函数,又通过“模糊袋”的方法,处理了心理统计的信息。将这些信息滤波综合,进而从“当前满意度”与“发展前景”两个不同的角度,对工业行业发展进行了分析。对于定性分析的定量化处理,这是一次新的偿试,本模型在延边朝鲜族自治州发展规划中得到了较满意的应用效果。     

我国保险企业执行力模糊评价模型与实证分析

执行力不足是现阶段我国保险企业普遍面临的困境.根据保险企业执行力的影响因素,可以建立保险企业执行力评价指标体系,并采用AHP与模糊评价相结合的方法对我国保险企业执行力进行模糊评价.各保险企业可以从评价结果中找出自身执行力的薄弱环节加以改进,以提升企业执行力。     

企业信息化建设的模糊综合评判

企业信息化建设是一项长期、深入、复杂的工作，使得其评价有一定的难度。本在模糊理论的基础上，对其进行了深入的研究。首先结合实际情况，提出了一套评价体系，并据此建立了模糊综合评价模型，最后进行了实例研究，为企业加强信息化建设提出了参考。     

企业创新系统的模糊评价模型及实证研究

企业创新是一个系统工程,技术创新是企业创新的核心,但是不完全等于企业创新,企业创新还包括观念创新、制度创新、机制创新、无形资产创新等,只有全面、系统创新的企业,才能够持续的具有创新能力,创新能力是企业发展的活力源泉.本文建立了企业创新的系统结构图,运用模糊综合评价方法对企业整体创新能力进行定量评价,建立了二级模糊综合评价模型,并进行了实证研究.     

基于AHP-Fuzzy方法的企业技术创新能力评估模型的建立及其应用

面向 2 1世纪知识经济的挑战 ,对企业技术创新能力进行科学的评估对我国经济的长远发展具有重要的战略意义 .本文在对企业技术创新能力进行知识描述的基础上 ,首先建立了企业技术创新能力综合评估的指标体系 ,继而提出了基于 AHP-Fuzzy方法上的企业技术创新能力评估模型 ,这为企业科学地进行技术创新能力评估提供了一定的理论指导 .文末 ,通过实证分析说明了该模型在实际中的应用 .     

A note on fuzzy differential equations

We study the effect of the forcing term to the solution of a fuzzy differential equation.     

效应代数中的模糊滤子

在效应代数中引入模糊滤子和模糊理想的概念,讨论了它们的性质;引入并研究了强模糊滤子;在全序效应代数中提出了一个模糊同余关系并证明了这样生成的同余类是一个全序格效应代数.     

The stone-čech compactification in the category of fuzzy topological spaces

In this paper we obtain a reflective subcategory C of the category FTS of fuzzy topological spaces. The associated reflection $\text{β}$ has properties similar to those of the ‘Stone-?ech’ compactification β and, in effect, is an extension of it. We study relations between β and $\text{β}$ in particular subcategories of FTS; $\text{β}$ is completely determined in the case of fuzzy topological spaces topologically generated.     

A newsvendor model with fuzzy price-dependent demand

Price-dependence is an important characteristic for some inventory problems. This paper proposes a newsvendor model with fuzzy price-dependent demand, and discusses the conditions to determine the optimal pricing and inventory decisions jointly so that the expected profit could be maximized. Then an algorithm combining the method of ranking fuzzy numbers is developed to tackle the problem. Furthermore, comparison is made between the fuzzy model and the deterministic model to study the effect of the uncertain price-dependent demand, and the sensitivity properties of the joint optimal decisions are illustrated through numerical examples.     

效应代数的直觉模糊滤子

引入效应代数的直觉模糊滤子和它的水平滤子的概念,讨论了直觉模糊滤子与水平滤子间的关系,给出了直觉模糊滤子的等价描述,研究了直觉模糊滤子的几个运算性质。在两个经典效应代数的效应态射与效应同构意义下,讨论了这种直觉模糊滤子的像和前像问题。     

Editorial

Linear programming problems with fuzzy parameters are formulated by fuzzy functions. The ambiguity considered here is not randomness, but fuzziness which is associated with the lack of a sharp transition from membership to nonmembership. Parameters on constraint and objective functions are given by fuzzy numbers. In this paper, our object is the formulation of a fuzzy linear programming problem to obtain a reasonable solution under consideration of the ambiguity of parameters. This fuzzy linear programming problem with fuzzy numbers can be regarded as a model of decision problems where human estimation is influential.     

A type of fuzzy ring

In this study, by the use of Yuan and Lee’s definition of the fuzzy group based on fuzzy binary operation we give a new kind of fuzzy ring. The concept of fuzzy subring, fuzzy ideal and fuzzy ring homomorphism are introduced, and we make a theoretical study their basic properties analogous to those of ordinary rings.      

Fuzzy addition in the L-fuzzy real line

Under the hypothesis L is a chain, we construct a binary operation ⊕ on the L-fuzzy real line $\text{R}$(L) which reduces to the usual addition on $\text{R}$ if ⊕ is restricted to the embedded image of $\text{R}$ in $\text{R}$(L), which yields a partially ordered, abelian cancellation semigroup with identity, and which is jointly fuzzy continuous on $\text{R}$(L). We show ⊕ is unique, i.e. it is the only extension of addition to $\text{R}$(L) which is consistent. We study the relationship between ⊕ and other fuzzy continuous extensions of the usual addition. We also show that fuzzy translation is a weak fuzzy homeomorphism and, under certain conditions, a fuzzy homeomorphism.     

Toward extended fuzzy logic—A first step

Fuzzy logic adds to bivalent logic an important capability—a capability to reason precisely with imperfect information. Imperfect information is information which in one or more respects is imprecise, uncertain, incomplete, unreliable, vague or partially true. In fuzzy logic, results of reasoning are expected to be provably valid, or p-valid for short. Extended fuzzy logic adds an equally important capability—a capability to reason imprecisely with imperfect information. This capability comes into play when precise reasoning is infeasible, excessively costly or unneeded. In extended fuzzy logic, p-validity of results is desirable but not required. What is admissible is a mode of reasoning which is fuzzily valid, or f-valid for short. Actually, much of everyday human reasoning is f-valid reasoning.f-Valid reasoning falls within the province of what may be called unprecisiated fuzzy logic, FLu. FLu is the logic which underlies what is referred to as f-geometry. In f-geometry, geometric figures are drawn by hand with a spray pen—a miniaturized spray can. In Euclidean geometry, a crisp concept, C, corresponds to a fuzzy concept, f-C, in f-geometry. f-C is referred to as an f-transform of C, with C serving as the prototype of f-C. f-C may be interpreted as the result of execution of the instructions: Draw C by hand with a spray pen. Thus, in f-geometry we have f-points, f-lines, f-triangles, f-circles, etc. In addition, we have f-transforms of higher-level concepts: f-parallel, f-similar, f-axiom, f-definition, f-theorem, etc. In f-geometry, p-valid reasoning does not apply. Basically, f-geometry may be viewed as an f-transform of Euclidean geometry.What is important to note is that f-valid reasoning based on a realistic model may be more useful than p-valid reasoning based on an unrealistic model.