Fuzzy quality-team formation for value added auditing: A case study

Value-added (quality) auditing is emerging as one of the most powerful tools for continuous quality improvement, with the introduction of the ISO 9001:2000 and ISO 19011 standards that focus team-based audits, proper auditor skills, process auditing, and effectiveness, etc. Formation of an effective quality audit team (QAT) based on the required auditor skills is therefore the initial stage of the value added auditing. QATs audit organizations at different locations with varying auditing requirements in order to evaluate an organization's own quality system (first party part audits according to IEC9001 Clause 8.2.2). The QAT consists of a lead auditor and one or more auditors that have the required skills in varying levels for the execution of an audit. For a successful audit, the formation of a QAT is vital since each audit team must at least fulfill the minimum requirements and skills needed for a specific audit. In this case study, a fuzzy mathematical-programming model and a solution algorithm based on “simulated annealing” is proposed for the formation of QATs. This is one of the first attempts in the literature to form this kind of teams analytically. Example problems are also solved in the paper to present the application of the proposed approach.     

董事会构成的模糊综合评判方法

董事会既充当股东大会的代理人,又担当经理层的委托人,在公司治理结构中具有十分重要的地位,已经成为公司治理结构的核心。企业董事会的构成直接决定着董事会职能的有效发挥,因此选择合理的董事会构成模式,不仅能够有效地维护股东的利益,而且对企业的长远发展具有重要的战略意义。本文在对董事会构成模式及其影响因素分析的基础上,运用模糊数学理论和层次分析法,提出了选择董事会构成模式和确定董事会构成大体比例的模糊综合评判方法,为企业合理组织董事会捉供理论指导。     

A Model for the Transportation of Hazardous Waste*

Many decision problems, such as the transportation of hazardous waste, can be modeled by networks. However, due to the imprecise nature of much of the information decision makers have available, it is sometimes difficult to determine a best approach to the problem. To alleviate this problem, a network model that combines both precise and imprecise information is presented for the transportation of hazardous waste. The properties of the network model are investigated and solution procedures are presented.     

Fuzzy vs. Minmax Weighted Multiobjective Linear Programming Illustrative Comparisons

This paper compares two approaches to the solution of weighted multiobjective linear programming problems: the fuzzy linear programming method and the minmax distance metric. The two models produce an identical solution for equally weighted objectives, but the solutions differ when the objectives are unequally weighted. This is due to the underlying meaning of the weights attached to each solution method. The paper illustrates the graphical meaning of the weights and the implications to the decision maker.     

A fuzzy robust regression approach applied to bedload transport data

Fuzzy least-square regression can be very sensitive to unusual data (e.g., outliers). In this article, we describe how to fit an alternative robust-regression estimator in fuzzy environment, which attempts to identify and ignore unusual data. The proposed approach concerns classical robust regression and estimation methods that are insensitive to outliers. In this regard, based on the least trimmed square estimation method, an estimation procedure is proposed for determining the coefficients of the fuzzy regression model for crisp input-fuzzy output data. The investigated fuzzy regression model is applied to bedload transport data forecasting suspended load by discharge based on a real world data. The accuracy of the proposed method is compared with the well-known fuzzy least-square regression model. The comparison results reveal that the fuzzy robust regression model performs better than the other models in suspended load estimation for the particular dataset. This comparison is done based on a similarity measure between fuzzy sets. The proposed model is general and can be used for modeling natural phenomena whose available observations are reported as imprecise rather than crisp.     

企业营销道德模糊综合评价及其应用研究

企业营销活动关系市场秩序和人民群众的切身生活，故研究企业营销道德具有理论和现实意义。文章在对国内外企业营销道德研究成果总结的基础上并结合问卷调研给出了企业营销道德价值取向模型，构建了企业营销道德评价指标体系，并建立了模糊综合评价模型，最后结合实例探讨了一种用模糊数学评价企业营销道德的方法。     

有限群及其Fuzzy子群的结构

在文的基础上,本文进一步讨论了一般有限群的Fuzzy子群的结构主要结果是定理5和定理8,它们分别揭示了群G的共轭Fuzzy子群的构造和Fuzzy群上的正规Fuzzy子群的构造.最后,作为应用,在§4中,对阶数不大于6的低阶群的所有Fuzzy子群逐一进行了讨论.     

试论言语交际中的模糊现象

模糊现象是客观世界的普遍现象,模糊性是语言的本质属性.在言语交际中,语言的模糊性在认知系统发生作用,形成一种制约言语活动(从编码到解码)的机制——模糊机制.言语交际的实践证明:模糊语在语用上有正负值之分,带正值的模糊语能丰富语言的表现活力,因而有助于交际的成功.     

BCI-代数的广义强蕴涵a-理想与广义Fuzzy强蕴涵a-理想

引入了BCI-代数X的广义强蕴涵a-理想和广义模糊强蕴涵a-理想的概念，讨论了它们的关系和一些性质．     

Applying fuzzy logic to personnel assessment: a case study

The main results of a research project spanning over several years are presented in this paper. The aim of the research was the improvement of the effectiveness of personnel assessment within a large Italian corporation operating in the research sector. The first step of the research consisted of the analysis of the raters’ behavior, so as to elicit the judgement categories and prototypes they used in the judgement formulation, based on the rating method adopted in the corporation. The second step consisted of improving the rating method using fuzzy logic. The corporate management tested the new rating method and found it more efficient and reliable than the previous one.