虚拟企业伙伴选择中模糊因素的定量评估

 针对虚拟企业伙伴选择时存在不一致区间判断的复杂评估问题，组建战略联盟决策群并确定着眼于候选伙伴实现机遇的互补竞争力评价指标体系，提出在层次分析法(AHP)框架下，运用有下限和上限的区间数表达候选伙伴之间不一致、不确定的比较比例，获得区间比较矩阵，引入模糊集的隶属度函数表示对选择方案的满意程度，构造模糊约束集合，利用线性规划方法求解具有最大满意程度的优先权矢量，计算出候选者的总体优先顺序.结果表明，该方法能够从可行域为空的不一致区间比较矩阵导出模糊优先权矢量.列举的虚拟企业伙伴选择实例验证了应用这个方法从模糊判断矩阵计算出确定的优先权重的有效性，这是其他方法难以做到的.     

模糊优越关系传递性的简化证明

给出了模糊优越关系的一个新证明．同时，指出了模糊预序关系的一个很强的基本性质，这个性质对于理解自反性和传递性是十分必要的．     

一种基于模糊偏好信息的多属性决策方法

传统的多属性决策方法在解决某些主次属性区别明显的决策问题时效果不理想，为此，从决策者提出的模糊偏好信息出发，结合方案满意度和方案在各属性上的达成程度，提出了一种解决此类问题的新方法。算例表明．该方法具有较强的实用性和可操作性。     

基于模糊相似优先的边坡稳定性评价范例推理方法

提出基于模糊相似优先的边坡稳定性评价范例推理方法。运用模糊相似优先的概念，构造了一个基于模糊相似优先的边破范例检索模型。以每一个边坡稳定性的影响因素，分别建立了边坡的目标范例与源范例这间的模糊相似优先关系。经过影响之间的两两比较，获得了不同的影响因素下边坡的目标范例与源范例之间的相似性序列，在确定影响因素各自的权重分配之后，计算得到边坡的目标范例与源范例之间的综合相似性序列，从而最终找出与边坡的目标范例最相似的边坡的源范例。在以往的边坡范例与前的边坡稳定性评价之间，建立了合理的推理关系，实现了坡的稳定性评价。实例分析表明：边坡的稳定性评价结果与边坡的实际状态完全一致。     

Using fuzzy multiple criteria decision making approach to enhance risk assessment for metropolitan construction projects

The undertaking of construction projects in metropolitan areas is a risky, competitive, and dynamic proposition requiring a reliable risk assessment model for adequate planning. This study employs a fuzzy multiple criteria decision making (FMCDM) approach to systematically assess risk for a metropolitan construction project. Consistent fuzzy preference relations (CFPR) are used to measure and investigate the relative impact on project performance of twenty identified risk factors included in four risk dimensions. The fuzzy multiple attributes direct rating (FMADR) approach is employed to analyze the occurrence probability of multiple risk factors. Furthermore, the level of risk for the overall project caused by individual risk factor is evaluated with the synthesized analysis of the relative impacts and probability of occurrence. The implementation of FMCDM makes the proposed risk assessment approach more reliable and practical than the traditional statistical approach. The proposed approach can be employed to effectively evaluate the overall project risk, and can be benefited to efficiently identify significant risks of a metropolitan construction project.     

Linear optimization modeling of consistency issues in group decision making based on fuzzy preference relations

The consistency measure is a vital basis for group decision making (GDM) based on fuzzy preference relations, and includes two subproblems: individual consistency and consensus consistency. This paper proposes linear optimization models for solving some issues on consistency of fuzzy preference relations, such as individual consistency construction, consensus model and management of incomplete fuzzy preference relations. Our proposal optimally preserves original preference information in constructing individual consistency and reaching consensus (in Manhattan distance sense), and maximizes the consistency level of fuzzy preference relations in calculating the missing values of incomplete fuzzy preference relations. Linear optimization models can be solved in very little computational time using readily available softwares. Therefore, the results in this paper are also of simplicity and convenience for the application of consistent fuzzy preference relations in GDM problems.     

A hybrid ANP evaluation model for electronic service quality

Previous research has developed evaluation measurement for electronic service quality (e-SQ) but has ignored the interdependence perspective of the criteria and sub-criteria for e-SQ evaluation. Therefore, this study aims to propose a hybrid analytic network process (ANP) model as an improved method to evaluate multiple-criteria and sub-criteria of e-SQ with the interdependence perspective. This hybrid ANP model was proposed by utilizing a process of algorithm that combines the consistent fuzzy preference relations method with the ANP approach to evaluate e-SQ. Moreover, this model overcame the problems while using the ANP in ranking options during multiple-criteria decision-making, such as the lack of consistency, the complexity, and the inability to handle information uncertainty. By using online travel websites as empirical application, this study demonstrated the hybrid ANP evaluation model that could capture expert's knowledge existing in the form of incomplete and vague information as well as identify the most important criteria based on interdependent perspective when evaluating e-SQ for websites. The results indicated that the interdependence perspective among criteria and sub-criteria should be taken into consideration by practitioners looking to improve their e-SQ. This study also suggested practitioners who manage websites that is sufficient and necessary to evaluate e-SQ under considered interdependence perspective for criteria and sub-criteria in order to obtain more in-depth findings and potential knowledge to discover the truly important criteria and sub-criteria of e-SQ when improving quality of websites. Such efforts will create overall improvement instead of isolated improvements in individual areas.     

基于模糊偏好法的老旧电梯安全风险评估

针对老旧电梯评价指标多层次性特点，应用模糊偏好法评价电梯安全风险。该方法利用模糊数表示各指标间相对重要程度，通过构建三角模糊判断矩阵，结合容差参数，将传统AHP一致性检验问题转化为对非线性规划问题的求解，最终得到综合评价值。以老旧电梯为例进行评估，结果表明该方法可应用于实际项目评估。     

集群式供应链中基于约束层次和模糊偏好的供应商评价选择模型

针对集群式供应链中采购商选择供应商过程中出现的过约束问题,提出一种基于约束层次和模糊偏好的供应商评价选择模型.该模型基于约束层次理论,依据采购商对供应商约束的必需性程度,将约束分为强制性约束层和非强制性约束层;同时采用模糊偏好的量化方法来确定采购商对供应商的模糊偏好,简化了供应商的选择过程;另外,该模型改进了约束层次理论中的全局评价算子,基于线性加权法构造了基于强制性约束层评价模型和非强制性约束层评价模型的供应商综合评价模型,提高了供应商选择的成功率.最后通过算例验证该模型是有效的.     

燃气涡轮发电机组虚拟评判系统研究

为更好地评判操作人员对燃气涡轮发电机组的操作训练,设计了一种虚拟评判系统.根据操作实际,制定了评判标准,建立了评判指标体系.考虑到指标之间的相互影响和反馈关系,解决指标权重分配问题,利用网络分析法(ANP)处理指标间的复杂关系,并采用三角模糊数和模糊优先规划方法(FPP)完成权重的计算,引入云理论确定隶属度,使用蚁群算法优化BP神经网络,结合模糊综合评判构造模糊蚁群神经网络评判模型.上述方法能够有效减少主观因素对权重的影响,弥补传统评判方法的不足.实际应用表明,改进的评判系统具有很强的实用性,是一种可行的评判系统.