基于博弈论-VIKOR法的科研项目立项评审研究

针对科研项目立项评审的特点,建立了基于博弈论-VIKOR法的科研项目立项评审模型。目的在于提高定性指标定量化处理的科学性,并通过具体科研项目评审实例描述该方法的运用过程。表明了该方法具有科学性、有效性与可操作性。     

A novel approach for failure mode and effects analysis using combination weighting and fuzzy VIKOR method

Failure mode and effects analysis (FMEA) is one of the most popular reliability analysis tools for identifying, assessing and eliminating potential failure modes in a wide range of industries. In general, failure modes in FMEA are evaluated and ranked through the risk priority number (RPN), which is obtained by the multiplication of crisp values of the risk factors, such as the occurrence (O), severity (S), and detection (D) of each failure mode. However, the conventional RPN method has been considerably criticized for various reasons. To deal with the uncertainty and vagueness from humans’ subjective perception and experience in risk evaluation process, this paper presents a novel approach for FMEA based on combination weighting and fuzzy VIKOR method. Integration of fuzzy analytic hierarchy process (AHP) and entropy method is applied for risk factor weighting in this proposed approach. The risk priorities of the identified failure modes are obtained through next steps based on fuzzy VIKOR method. To demonstrate its potential applications, the new fuzzy FMEA is used for analyzing the risk of general anesthesia process. Finally, a sensitivity analysis is carried out to verify the robustness of the risk ranking and a comparison analysis is conducted to show the advantages of the proposed FMEA approach.     

基于二次聚类的工业用户负荷可调节潜力特征提取与综合评估方法

随着新能源发电占比增加,发电侧的调节能力降低,挖掘负荷侧的可调节潜力是新型电力系统电力供需平衡的必然选择。针对工业用户,提出了一种基于二次聚类的可调节潜力特征提取与综合评估方法。综合考虑工业用户的可中断性、可转移性和生产属性,建立了负荷可调节潜力评估指标体系。首先,采用近邻传播(affinity propagation, AP)聚类-k均值(k-means)聚类的二次聚类方法挖掘用户可调节潜力特征,计算可调节指标。其次,基于相关性定权(criteria importance through intercriteria correlation, CRITIC)法和多准则妥协解排序(vlsekriterijumska optimizacija I kompromisno resenje, VIKOR)法分别评估工业用户可中断潜力、可转移潜力和生产潜力。然后,利用集对分析(set pair analysis, SPA)-可变模糊集(variable fuzzy set, VFS)法评估工业用户负荷综合可调节潜力,并得到优先级排序。最后,根据某地区9户工业用户历史负荷监测数据进行可调节潜力评估,通过对不同聚类方法、不同指标体系以及不同评估算法结果的对比分析,验证了所提方法在特征提取、指标定义以及评估合理性方面的优势。     

基于改进三角模糊VIKOR法的用户储能系统配置方案综合评估

针对不确定环境下用户储能系统配置方案评估决策,提出一种基于改进三角模糊多准则妥协解排序(VIKOR)法的评估模型。首先,运用扎根理论构建评估指标集,并采用灰色关联-粗糙集方法进行指标筛选,形成评估指标体系。然后,采用主、客观相结合的方法计算指标组合权重,以提高其准确性,其中主观权重由模糊层次分析(FAHP)法求得,客观赋权法由改进标准间重要性相关性(CRITIC)法求得。最后,考虑指标之间的冲突性与模糊性,运用改进三角模糊VIKOR法对配置方案评估与排序比选。通过仿真分析,验证了本文所建模型的有效性和可行性。     

Selection of industrial robots using compromise ranking and outranking methods

Selection of a robot for a specific industrial application is one of the most challenging problems in real time manufacturing environment. It has become more and more complicated due to increase in complexity, advanced features and facilities that are continuously being incorporated into the robots by different manufacturers. At present, different types of industrial robots with diverse capabilities, features, facilities and specifications are available in the market. Manufacturing environment, product design, production system and cost involved are some of the most influencing factors that directly affect the robot selection decision. The decision maker needs to identify and select the best suited robot in order to achieve the desired output with minimum cost and specific application ability. This paper attempts to solve the robot selection problem using two most appropriate multi-criteria decision-making (MCDM) methods and compares their relative performance for a given industrial application. The first MCDM approach is ‘VIsekriterijumsko KOmpromisno Rangiranje’ (VIKOR), a compromise ranking method and the other one is ‘ELimination and Et Choice Translating REality’ (ELECTRE), an outranking method. Two real time examples are cited in order to demonstrate and validate the applicability and potentiality of both these MCDM methods. It is observed that the relative rankings of the alternative robots as obtained using these two MCDM methods match quite well with those as derived by the past researchers.     

Group decision making process for supplier selection with VIKOR under fuzzy environment

During recent years, how to determine suitable suppliers in the supply chain has become a key strategic consideration. However, the nature of supplier selection is a complex multi-criteria problem including both quantitative and qualitative factors which may be in conflict and may also be uncertain. The VIKOR method was developed to solve multiple criteria decision making (MCDM) problems with conflicting and non-commensurable (different units) criteria, assuming that compromising is acceptable for conflict resolution, the decision maker wants a solution that is the closest to the ideal, and the alternatives are evaluated according to all established criteria. In this paper, linguistic values are used to assess the ratings and weights for these factors. These linguistic ratings can be expressed in trapezoidal or triangular fuzzy numbers. Then, a hierarchy MCDM model based on fuzzy sets theory and VIKOR method is proposed to deal with the supplier selection problems in the supply chain system. A numerical example is proposed to illustrate an application of the proposed model.     

Site selection in waste management by the VIKOR method using linguistic assessment

Site selection is an important issue in municipal solid waste (MSW) management. Selection of the appropriate solid waste site is an extensive evaluation process that requires consideration of multiple alternative solutions and evaluation criteria. In reality, it is easier for decision makers to express their judgments on the alternatives by using linguistic terms, and there usually exists uncertain and incomplete assessment information. Moreover, decision makers may have different risk attitudes in the siting process because of their different backgrounds and personalities. Therefore, an attitudinal-based interval 2-tuple linguistic VIKOR (ITL-VIKOR) method is proposed in this paper to select the best disposal site for MSW. The feasibility and practicability of the proposed method are further demonstrated through an example of refuse-derived fuel (RDF) combustion plant location. Results show that the new approach is more suitable and effective to handle the MSW site selection problems by considering the decision maker's attitudinal character and incorporating the uncertain and incomplete assessment information.     

基于FG-MCGDM的水利工程施工进度方案优化

针对水利工程施工进度的多准则群决策问题,提出了一种新的模糊灰色多准则决策模型。该模型基于模糊集理论、灰色关联分析和折衷解的理论方法,将各决策属性和决策者权重的语言变量转化为梯形模糊数;采用改进的 GRA-VIKOR方法对模糊信息群体决策问题进行求解,并对各决策者的群体效益值和个体遗憾值进行聚合;通过折衷解对施工进度方案进行排序,获得最优方案。该模型有效地避免了信息的扭曲和丢失,确保了决策信息的完备性。通过在某水利工程施工进度方案优选的案例分析与计算,证明了该模型的有效性和实用性。     

基于改进 CRITIC-VIKOR 法的装配式构配件供应商选择分析

供应商作为装配式构配件供应链的源头,做好装配式构配件供应商的决策分析意义重大。鉴于此,从装配式构配件供应商管理内容的角度建立了评价指标体系。引入基尼系数改进 CRITIC 模型,以此对评价指标进行权重计算,利用灰色关联分析法将计算得到的关联系数作为决策矩阵,通过 VIKOR 法对装配式构配件供应商展开选择决策。并通过案例应用获得了备选供应商的优劣排序,然后从决策系数和决策矩阵两个方面进行对比研究,验证了该方法的灵活性和可行性。     

VIKOR算法在ESCo客户选择中的应用

节能服务公司（ESCo）对实施节能项目客户的正确选择是保证节能项目顺利进行的前提和基础,客户的选择也直接影响到ESCo能否获得最好的效益。利用VIKOR算法对多个客户进行选择,并利用熵权法对指标赋权。实例证明,该方法为ESCo在现实中选择最理想的客户提供了一种科学、简便的计算方法。