Multi-attribute group decision-making with multi-granularity linguistic assessment information: An improved approach based on deviation and TOPSIS

With respect to group decision-making problems with multi-granularity linguistic assessment information, a new approach is proposed. Firstly, the computational formulae are given in order to transform and unify the multi-granularity linguistic comparison matrices. Secondly, the method of standard and mean deviation is applied to determine the unknown attribute weights, and the weights of the decision makers will be determined by using the extended TOPSIS (technique for order preference by similarity to an ideal solution) method. Finally, based on the LWAA (linguistic weighted arithmetic averaging) operator, information on the preference provided by each decision maker is aggregated into the comprehensive evaluation value of each alternative, and the most desirable alternative is selected. The proposed approach expands the research in multi-attribute group decision-making with multi-granularity linguistic assessment information by both considering the weights of the attributes and decision makers, and objective weighting for them. A numerical example is given to illustrate the practicability and usefulness of the proposed approach.     

Evaluating and selecting the supplier in detergent production industry using hierarchical fuzzy TOPSIS

Supply chain management has increasingly attracted attention as a systematic approach to integrate the supply chain in order to planning and controlling the materials and information from suppliers to customers. One of the most important issues in supply chain management is selection of the appropriate supplier which has significant effect on purchasing cost decrease and increase in the organization’s competition ability. Selection of the best supplier is naturally complex with no definite structure, and dependent on the type of suppliers’ activity. In the process of decision making about suppliers and many qualitative and quantitative performance indicators such as quality, price, flexibility, and due date should be considered. Then, the supplier selection problem is a multi-criteria decision making problem where numerous methods have been proposed to solve this problem so far. In the current paper, four suppliers of imported raw material “Tripolyphosphate (TPP)” (primary material to produce the detergent powder with a case study in Iran) are evaluated based on 25 effective criteria using the hierarchical fuzzy TOPSIS (HFTOPSIS) approach.     

An integrated approach for supplier selection in multi-item/multi-supplier environment

One of the important stages in supply chain management which regards all the activities from the purchasing of raw material to final delivery of the product is the supplier selection process. Since it is the first stage of the supply chain management, it is a critical process affecting the consecutive stages. It is simply desired to select the best supplier for a specific product. But since there are a lot of criteria and alternatives to be considered, numerous decision making models have been proposed to provide a solution to this problem. Within this study, an integrated approach including fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and a mixed integer linear programming model is developed to select the best supplier in a multi-item/multi-supplier environment. The importance value of each supplier with respect to each product is obtained via fuzzy TOPSIS in the first stage. Then in the second stage, these values are used as an input in the mathematical model which determines the suppliers and the quantities of products to be provided from the related suppliers. So as to validate the proposed methodology, an application is performed in air filter sector.     

基于TOPSIS模型的机场网络节点重要度评估

在机场网络中单个机场节点的失效往往会对其他的节点产生影响,特别是关键节点的失效会波及整个网络.准确客观的识别重要节点机场关乎整个机场网络的安全运营.本文分析了机场网络拓扑特性中的度、集聚系数和接近度指标,考虑了机场旅客吞吐量和所在城市人口等交通经济特性指标,使用熵权法确定权重的基础上,应用TOPSIS法构建综合评价体系模型,最后以华东地区机场网络为例进行节点重要度排序.结果表明与单一指标的评估结果相比,该方法更加全面客观的确定不同属性指标的权重,避免了不同指标取值的差异性,使评价更加全面,更符合机场网络实际运营情况.     

改进的TOPSIS决策方法在供应商选择中的应用

运用马氏距离替代欧式距离改进传统的TOPSIS方法,解决当属性间存在线性相关时欧式距离失效的缺陷;充分考虑对立集合并引入联系向量距离,解决可能存在的方案距离正理想解和负理想解距离都近的缺陷.然后通过决策者偏好系数将马氏距离和联系向量距离所得结果合成新的相对贴近度,从而同时克服传统TOPSIS方法的以上两个缺陷.最后通过供应商选择的实例来验证方法的有效性.     

旅游路线规划问题

对旅游爱好者游遍201个5A级景点的旅行方案进行研究.首先,建立以总的旅游时间达到最小的0-1数学规划模型,利用枚举法将景点划分成若干类,并将其视为TSP问题,用蚁群算法得出常住地为西安的旅游者游遍所有景点至少需要的时间和最优路线;其次,考虑了费用最小,旅游体验最好的因素,建立多目标规划模型,通过模糊隶属度函数的构造,将多目标规划模型进行线性加权组合转化为单目标规划问题进行求解.还引入TOPSIS模型,对常住地在北京的自驾游爱好者提供了一个简要版旅游计划.最后,用因子分析和灰关联分析相结合的方法遴选了相应5A级和4A级旅游景区,并给出该旅游爱好者合理的十年旅游规划.     

巫山县乡村地区公路网通达性空间格局研究

以巫山县为研究区域,运用GIS技术,以乡镇和行政村为节点单元,采用公路网密度、乡镇间直达性指数、乡镇内直达性指数、居民点道路临近性、乡镇间节点可达性指数、乡镇内节点可达性指数、干线衔接距离、地形位指数8项指标,引入熵权-TOPSIS模型,综合分析和评价巫山县乡村地区公路网通达性及其空间分布格局。研究表明,各项指标对巫山县乡村公路网的影响程度由高到低为：公路网密度＞地形位指数＞干线衔接距离＞居民点临近性＞乡镇内直达性指数＞乡镇间节点可达性指数＞乡镇内节点可达性指数＞乡镇间直达性指数;除中心城区外,各乡镇贴近度为0.170 0＞0.831 9,区域差异明显,其中铜鼓最高,当阳最低;整体上,巫山县乡村公路通达性以中等、较好等级为主,通达性空间格局总体以铜鼓、建平、三溪为核往外围扩散,与交通干线骨架吻合度较高,呈现“三核、一环、一域”的空间格局。研究成果对巫山县山区乡村公路网建设和优化有一定的指导作用,在一定程度上完善了乡村地区公路网通达性分析和评价方法。     

浙江省旅游用海质量时空变化特征分析

考虑海洋旅游发展程度、区域经济社会发展水平以及海域环境条件等因素,构建旅游用海质量评价指标体系,依据官方渠道采集的统计数据,采用信息熵模型量化指标权重,根据TOPSIS法原理对沿海县（市、区）旅游海域质量进行排序并应用系统聚类法划分海域等级。结果表明：（1）人均海洋旅游总产值、海洋生物多样性指数以及海水质量指数3个评价因子对旅游用海质量影响显著,海水质量指数有反向影响。（2）2007―2016年,浙江省沿海18个县（市、区）旅游用海等级变动较大,“北强南弱”特征明显。（3）比较2007年标准,第二、三、四等级县（市、区）数量有较大幅度增加,五、六等级县（市、区）数量明显减少,旅游海域质量等级整体提高,等级数量变化与沿海县（市、区）海洋旅游发展态势和海洋生态环境变动相吻合。     

基于TOPSIS思想的技术创新方案的Vague集评价方法及其应用

为了得到理想的技术创新选择方案,论文从技术创新的实际出发,从实力、潜力和外部环境三个角度选择了一组反映技术创新项目实际情况的评价指标。并借助Vague集理论,通过TOPSIS中正负理想解的思想定义了任意创新方案的评价指标值,运用Vague集理论中距离的概念构建了新的评价方法,进而得到了满意的评价结果。该方法一方面体现了Vague集理论描述不确定性问题的优点,另一方面借助TOPSIS思想满足了方案评价的基本准则。这一思想和方法的提出不仅为Vague集理论研究提供了新的应用领域,也为技术创新的研究提供了新的思路和方法。     

基于多目标属性决策和信息熵值法的港口集装箱装卸设备选型评价

装卸设备选型对专业集装箱码头的发展具有重大意义,本文从这一现实问题入手,基于集装箱装卸设备选型的多属性特征以及港口物流工业的一体化趋势,提出了基于信息熵值法的多目标属性决策模型(Multi-attribute decision-making Model Based on Information Entropy Method, MADM-IEM)。以装卸设备为研究对象,构建全面的装卸设备选型评价指标体系;针对指标属性不相容性和不确定性、相关指标难以量化呈现的特点,运用多属性决策和信息熵值法的数据效用值相结合的方法,客观、合理地计算属性指标的权重系数,并进行归一化处理;在此基础上结合ELECTRE法和TOPSIS法,对装卸设备进行综合排序,由此确定设备选型结果。注意到,两种方法求解结果具有一致性,验证了该模型的可行性和有效性。最后对港口装卸设备选型评价进行灵敏度分析,深入讨论评价指标的权重变动对结果的影响。研究结果充分表明提出的MADM-IEM模型能为中小型内河港口码头的基础建设规划提供科学合理的决策依据。