基于MCDM-BPNN的城市内涝风险评价及调蓄池选址

为建立一套较为完善的城市内涝风险评价体系,并据此确定调蓄池位置,首先,从积水风险、超载风险和边侧进流量3个维度构建评价指标,设计一种包括改进层次分析法(IAHP)、反熵权法(AEW)和优劣解距离法(TOPSIS)的混合多准则决策框架(MCDM);然后,将IAHP-AEW-TOPSIS模型分别与IAHP-TOPSIS、AEW-TOPSIS模型对比,通过斯皮尔曼排序相关系数验证排序一致性,通过计算变异系数、相对极差和灵敏度证实IAHP-AEW-TOPSIS模型的性能;最后,结合反向传播神经网络(BPNN),建立MCDM-BPNN模型,并以山西省某一内涝易发区域为例进行验证。结果表明:积水风险对城市内涝风险评价体系的影响最为显著,所占权重为0.46,其次为超载风险,所占权重为0.36;节点位置与连接管道数量很大程度上对该节点的内涝风险产生影响,在管道汇接处或汇流面积较大处内涝出现更为频繁;IAHP-AEW-TOPSIS模型在样本判别方面具有更好的性能;在5年与10年重现期下,MCDM-BPNN模型验证集准确率分别为93.3%和100%,能够准确快速模拟和预测城市洪水;应用案例设置调蓄池后,高、中、低风险节点数量分别为7、9、30和6、19、21,内涝溢流削减效果显著。

煤矿生产物流系统安全资源DMIP-MCDM评价法

为提升煤矿生产物流系统安全水平,运用多准则决策(MCDM)方法,建立基于动态多维交互投影(DMIP)的煤矿生产物流系统安全资源DMIP-MCDM评价法。首先,集成多个直觉正态模糊数(INFNs)动态聚合决策矩阵,并由此计算初始评价权重及均衡度评价权重;其次,依托直觉正态模糊广义混合变权Bonferroni(INFNGHVWB)算子计算精确度评价权重;再次,计算各级指标因素层的DMIP聚合评价权重及安全资源配置的最终总体评价权重;最后将DMIP-MCDM评价法应用于某矿生产物流系统中,进行实证分析。结果表明,安全资源配置的类别各异,同时交互影响;用DMIPMCDM能够实现安全资源配置状况的多维动态系统评价,有助于优化安全资源配置结构。

应用规范化公式的MCDM保序研究

规范化公式的应用会破坏方案之间的独立性,导致逆序的产生。提出了两种改进规范化公式的方法以消除逆序,并以加权算术平均(WAA)集结算子的多属性决策分析(MCDM)为例验证了所提出方法的合理性和有效性。改进后的规范化公式不仅可以应用于WAA算子,还可以应用到其他类似的决策算子中。改进后规范化公式的应用可以降低和消除规范化公式对无关方案独立性的影响,使得MCDM决策过程更加合理、科学。

基于混合MCDM方法的智能家居供应商绩效研究

目前,智能家居供应商绩效问题已成为亟待解决的重要科学问题。本文从智能家居的内涵和特点出发,构建智能家居供应商绩效的关键影响因素指标体系。将期望水平概念引入偏好函数中构建混合MCDM方法,分析各因素间复杂的影响关系和影响程度。最后以K品牌智能家居的三家供应商为案例研究对象进行实证分析,找出三家供应商绩效与期望水平间的差距,并给出改进建议。

一种基于语言变量的MCDM问题的决策方法

基于语言变量的 MCDM(Multi- Criteria/Multi- Person Decision- Making)问题的解决可分为三部分 :(1)选择合适的语言变量集合 ;(2 )选择恰当的聚合算子 ;(3 )选择最佳备选方案。本文第三部分提出语言模糊集截集方法 ,通过语言模糊截集方法和 L OWA算子的混合使用 ,不仅能决策出最佳备选方案 ,而且可以给出备选方案间的一个排序。最后给出两个实例。

基于MCDM的大长山岛海域增殖型海洋牧场人工鱼礁选址适宜性评价

为了提高增殖型海洋牧场建设中人工鱼礁选址的科学性,以大长山岛周边海域为研究区域,基于MCDM(多准则决策)对该海域增殖型海洋牧场人工鱼礁开展了适宜性评价研究。根据文献检索和国内外增殖型人工鱼礁建设经验,对41个选址指标进行优先排序,选取了14个指标(水深、坡度、溶解氧、pH、浮游植物生物量、浮游动物生物量、底栖生物生物量、无机氮、活性磷酸盐、化学需氧量、叶绿素a、海域渔业资源情况、易于捕捞程度)作为增殖型海洋牧场人工鱼礁的选址指标,通过GIS的函数计算并叠加形成适宜性评价图。结果表明,大长山岛海域有2块区域的增殖型海洋牧场人工鱼礁的适宜性值高于0.8,为人工鱼礁建设最适区域。最适区域内已投放的人工鱼礁也表现出了较好的建设效果,与适宜性评价结果一致。

地方油库征用MCDM评估方法及应用研究

征用地方油库是未来战争中油料筹措的一种重要方式，然而在征用过程中会遇到对多个油库进行选择的问题，在选择过程中，又要考虑被征油库各方面因素。MCDM（Multiple Criteria Decision Making）评估方法，就是针对多目标或多准则而进行的一种评估方法，其特点是概念清晰、计算简便、适应范围广，特别适合军事后勤领域的应用。讨论了地方油库征用MCDM评估的基本问题，建立了地方油库征用MCDM评估模型，给出了一个应用实例，解决了在地方油库征用过程中各评估指标之间不相容的问题。

一种基于灰色关联分析和超效率DEA的MCDM模型

针对多属性决策问题(MCDM)权重难以客观确定的缺陷,提出一种基于灰色关联分析和超效率数据包络分析(DEA)的混合算法研究MCDM。对MCDM进行建模,利用灰色关联分析计算各属性的点关联度,为了得到各属性的相对最优灰关联度并将其充分排序,利用超效率DEA改进灰色关联分析模型。该混合算法能够更加客观地确定权重向量,并且突破权重和为1的限制,使得均一的权重更加灵活;同时,可以得到各属性的相对最优灰色关联度,超效率DEA能够增强模型对灰关联度的分辨能力。通过北京市商品房空置影响因素的实例分析验证了该混合算法的有效性。

A Hybrid MCDM Approach Based on ANP and TOPSIS for Facility Layout Selection

Facility layout selection is a multi-criteria decision making (MCDM) problem,since it has a strategic impact on the efficiency of manufacturing system.In view of the interdependency among selection criteria,analytic network process (ANP) is proposed to analyze the structure of the facility layout selection problem and determine the weights for each criterion.A network structure is constructed that shows all elements and clusters and their interactions.Limit priorities are also calculated which help decision maker evaluate the relative importance among criterion in the alternative selection process.Moreover,a hybrid MCDM approach that employs ANP and technique for order preference by similarity to an ideal solution (TOPSIS)method to rank the optimal facility layout alternatives.Finally,an application of a new aeronautic component assembly workshop facility layout selection is conducted.To further illustrate the advantage of the proposed approach,the difference between ANP-TOPSIS and AHP-TOPSIS methods are compared and discussed.Results have demonstrated the effectiveness and feasibility of the proposed method.

Robust data envelopment analysis based MCDM with the consideration of uncertain data

The application of data envelopment analysis （DEA） as a multiple criteria decision making （MCDM） technique has been gaining more and more attention in recent research. In the practice of applying DEA approach, the appearance of uncertainties on input and output data of decision making unit （DMU） might make the nominal solution infeasible and lead to the efficiency scores meaningless from practical view. This paper analyzes the impact of data uncertainty on the evaluation results of DEA, and proposes several robust DEA models based on the adaptation of recently developed robust optimization approaches, which would be immune against input and output data uncertainties. The robust DEA models developed are based on input-oriented and outputoriented CCR model, respectively, when the uncertainties appear in output data and input data separately. Furthermore, the robust DEA models could deal with random symmetric uncertainty and unknown-but-bounded uncertainty, in both of which the distributions of the random data entries are permitted to be unknown. The robust DEA models are implemented in a numerical example and the efficiency scores and rankings of these models are compared. The results indicate that the robust DEA approach could be a more reliable method for efficiency evaluation and ranking in MCDM problems.

基于F-MCDM的冰川旅游游客满意度综合评价及敏感性分析

游客满意度是衡量旅游地竞争力的关键因素之一,已受到众多旅游研究者的关注。在其热点研究中,有关冰川旅游游客满意度及不同游客属性间满意度差异的研究鲜见。选取达古冰川与海螺沟冰川为研究区,通过对游客属性细分,运用模糊多准则决策法(F-MCDM)及引入需求弹性理论对冰川旅游游客满意度进行了综合评价和敏感性分析,探讨了提升冰川旅游游客满意度的对策建议。结果表明:达古冰川游客实际满意度总体高于海螺沟冰川,两地均以管理与服务的满意度最高,消费状况与交通的满意度最低。就游客属性的相对满意度而言,两地均呈现男性满意度高于女性,高消费游客满意度高于低消费游客,高忠诚度游客满意度高于低忠诚度游客;两地相对满意度的差异表现在年龄、受教育程度、客源地和到访次数方面。相较于达古冰川,海螺沟冰川满意度敏感性更高,同等改进力度下游客满意度的提高更为明显高效,就两地满意度敏感性最高的景观特色而言,达古冰川1%的改善将提升游客满意度0.30%,而海螺沟冰川可提升0.45%;对于不同游客属性的满意度敏感性,两地均以不愿推荐、不愿重游和未达到期望的游客最高。最后依据满意度敏感性分析结果,为两地冰川旅游发展提出了关键属性改进、营销策略创新和旅游产品开发等针对性建议。

基于MCDM模型的汽车行业第三方逆向物流供应商的选择

基于多标准决策,提出基于熵方法、接近理想值法(TOPSIS)和灰色关联分析的整合模型。熵决策得到最初的权重,TOPSIS和灰关联分析得到最终的排序。并根据汽车行业确定和总结了评价标准,以一家中国的汽车制造商案例证明了模型的可行性和有效性。

Spherical Linear Diophantine Fuzzy Sets with Modeling Uncertainties in MCDM

The existing concepts of picture fuzzy sets(PFS),spherical fuzzy sets(SFSs),T-spherical fuzzy sets(T-SFSs)and neutrosophic sets(NSs)have numerous applications in decision-making problems,but they have various strict limitations for their satisfaction,dissatisfaction,abstain or refusal grades.To relax these strict constraints,we introduce the concept of spherical linearDiophantine fuzzy sets(SLDFSs)with the inclusion of reference or control parameters.A SLDFSwith parameterizations process is very helpful formodeling uncertainties in themulti-criteria decisionmaking(MCDM)process.SLDFSs can classify a physical systemwith the help of reference parameters.We discuss various real-life applications of SLDFSs towards digital image processing,network systems,vote casting,electrical engineering,medication,and selection of optimal choice.We show some drawbacks of operations of picture fuzzy sets and their corresponding aggregation operators.Some new operations on picture fuzzy sets are also introduced.Some fundamental operations on SLDFSs and different types of score functions of spherical linear Diophantine fuzzy numbers(SLDFNs)are proposed.New aggregation operators named spherical linear Diophantine fuzzy weighted geometric aggregation(SLDFWGA)and spherical linear Diophantine fuzzy weighted average aggregation(SLDFWAA)operators are developed for a robust MCDM approach.An application of the proposed methodology with SLDF information is illustrated.The comparison analysis of the final ranking is also given to demonstrate the validity,feasibility,and efficiency of the proposed MCDM approach.

—种基于MCDM的油库保障能力区间数聚类方法

结合油料保障能力建设的现实需要,提出了区间数聚类思想,构建了基于MCDM区间数聚类模型与算法,并进行了实际应用。结果表明:基于MCDM的油库保障能力区间数聚类方法与其它聚类方法相比,具有计算简单、行之有效等特点,为处理具有区间数的油库保障能力聚类问题提供了科学依据。

Land Suitability Evaluation for Agricultural Cropland in Mongolia Using the Spatial MCDM Method and AHP Based GIS

The purpose of this study was to prepare a cropland suitability map of Mongolia based on comprehensive landscape principles, including topography, soil properties, vegetation, climate and socio-economic factors. The primary goal was to create a more accurate map to estimate vegetation criteria (above ground biomass AGB), soil organic matter, soil texture, and the hydrothermal coefficient using Landsat 8 satellite imagery. The analysis used Landsat 8 imagery from the 2016 summer season with a resolution of 30 meters, time series MODIS vegetation products (MOD13, MOD15, MOD17) averaged over 16 days from June to August 2000-2016, an SRTM DEM with a resolution of 30 meters, and a field survey of measured biomass and soil data. In total, 6 main factors were classified and quality evaluation criteria were developed for 17 criteria, each with 5 levels. In this research the spatial MCDM (multi-criteria decision-making) method and AHP based GIS were applied. This was developed for each criteria layer’s value by multiplying parameters for each factor obtained from the pair comparison matrix by the weight addition, and by the suitable evaluation of several criteria factors affecting cropland. General accuracy was 88%, while PLS and RF regressions were 82.3% and 92.8%, respectively.

Efcient MCDM Model for Evaluating the Performance of Commercial Banks: A Case Stud

Evaluation of commercial banks(CBs)performance has been a signicant issue in the nancial world and deemed as a multi-criteria decision making(MCDM)model.Numerous research assesses CB performance according to different metrics and standers.As a result of uncertainty in decision-making problems and large economic variations in Egypt,this research proposes a plithogenic based model to evaluate Egyptian commercial banks’performance based on a set of criteria.The proposed model evaluates the top ten Egyptian commercial banks based on three main metrics including nancial,customer satisfaction,and qualitative evaluation,and 19 subcriteria.The proportional importance of the selected criteria is evaluated by the Analytic Hierarchy Process(AHP).Furthermore,the Technique for Order of Preference by Similarity to Ideal Solution(TOPSIS),Vlse Kriterijumska Optimizacija Kompro-misno Resenje(VIKOR),and COmplex PRoportional ASsessment(COPRAS)are adopted to rank the top ten Egyptian banks based on their performance,comparatively.The main role of this research is to apply the proposed integrated MCDM framework under the plithogenic environment to measure the performance of the CBs under uncertainty.All results show that CIB has the best performance while Faisal Islamic Bank and Bank Audi have the least performance among the top 10 CBs in Egypt.

Fuzzy MCDM Model for Selection of Infectious Waste Management Contractors

Healthcare supply chains are under pressure to drive down costs because of digital business,shifting customer needs and new competition.Medical waste generated from medical facilities includes medical activities and daily-life activities of patients and their family members.According to statistics of the Department of Health EnvironmentalManagement,Vietnam currently has more than 13,500 medical facilities,including hospitals from central to provincial and district levels and private hospitals and medical facilities.Preventive medicine generates about 590 tons of medical waste/day and is estimated to be about 800 tons/day.Medical waste includes ordinary medical waste and hazardous medical waste;in which ordinary medical waste accounts for about 80%–90%,only about 10%–20%is hazardous medical waste including infectious waste and non-infectious hazardous waste.This is an environmental and occupational health issue that needs attention in developing countries like Vietnam.Handling large amounts of medical waste to ensure environmental and personal hygiene,doing so inefficiently creates potential hazards to the environment and increases operating costs.However,hospitals lack objective criteria and methods to evaluate and select the most optimal infectious medical waste,relying instead on their own subjective assessment and prior experience.Therefore,the author proposed a fuzzy multicriteria decision making(MCDM)model including Fuzzy Analytic hierarchy process(FAHP)and the Weighted Aggregated Sum-Product Assessment(WASPAS)for infectious medical waste contractors’selection in this research.The proposed Fuzzy MCDM method is in-tended to provide a more efficient,accurate method in the selection of infectious medical waste contractors than subjective assessment methods,thus reduce potential risks to hospitals.The results of this study can be applied to evaluate and select contractors in other industries.

Fuzzy MCDM for Improving the Performance of Agricultural Supply Chain

Fertilizer industry in Vietnam and globally have entered the saturation phase.With the growth rate slowing down,this poses challenges for the development impetus of the fertilizer industry in the next period.In fact,over the past few decades,Vietnam’s crop industry has abused excessive investment in chemical fertilizers,with organic fertilizers are rarely used or not at all,limiting crop productivity,increasing pests and diseases.To develop sustainable agriculture,Vietnam’s crop industry must limit the use of chemical fertilizers,increase the use of environmentally friendly organic and natural mineral fertilizers to produce clean agricultural products which is safe.Therefore,it is necessary to consider and choose the right supplier to ensure the goal of sustainable development.Spherical Fuzzy Analytic Hierarchy Process(SF-AHP),and the combinative distance-based assessment(CODAS)are new Multicriteria Decision Making(MCDM)method which can be used to solve supplier selection problem.This paper uses an effective solution based on a combined the concept of triple bottom line(TBL),SF-AHP and CODAS approach to help agriculture companies that need to select the best fertilizer supplier.This research can support supply chain managers to achieve supply chain systems that reduce not only sourcing costs,but also develop sustainable agriculture.

Transformation and risk assessment of the East Kolkata Wetlands (India)using fuzzy MCDM method and geospatial technology

The East Kolkata Wetlands (EKW) is located on the eastern periphery of the city of Kolkata and extends up to theBidyadhari-Matla River confluence. It is a Ramsar Site and acts as an absorber basin for a large number of con-taminants drained from Kolkata. Agricultural lands, sewage-fed fisheries, garbage dumping fields, horticulture,and built-up areas are included in this protected area, that covers approximately 125 km2. It reveals that climatechange reduces the variety of wetland ecosystem services and increases socio-economic vulnerability and eco-nomic stress. The human encroachment, reclamation of land for agriculture, aquaculture, and urban expansion inand around Kolkata has recently adversely threatened the EKW. The remotely sensed data, socio-economic data,and responses of inhabitants have been used to analyse the EKW’s risk and vulnerability. We employed geospatialanalysis by using the Multi-Criteria Decision Making (MCDM) method using nine risk factors. An in-depth analysisof the EKW using geospatial techniques and the Fuzzy Analytic Hierarchy Process (FAHP) helped to understandthe EKW transformations through vulnerability and risk analysis. The results show that the transformation of thewetland to aquaculture, eutrophication and pollution, road proximity, waste dumping, population density, andgrowth are the main factors for the deteriorating health, quality, and environment of the EKW. It also reveals thatquantitative and qualitative evaluations of ecosystem services, wetland degradation, transformation, and cause-effect rapport should be periodically assessed using scientific methods like FAHP, RS, GIS to formulate resilient,integrated plans and strategy for the sustainable management of the EKW.

Empirical Analysis of Multiple-Criteria Decision-Making (Mcdm) Process for Freight Transportation Mode Selection

In Ghana, freight transport is growing continuously every year due to its location and business processes. However, road transport carries 86% of freight despite its numerous negative impacts. Hence, the government has invested in rail transport, with 70% of its capacity is for freight transport in her busy freight transport corridor (eastern transport regions of Ghana). Thus, awareness of criteria considered when deciding on freight transport becomes vital. Hence, this study aims to improve the understanding of the factors of freight transport mode selection in Ghana from the decision-making process by identifying criteria that affect their decisions on mode transportation. The combination of Fuzzy AHP and Topsis is used to find the weights and suggest suitable alternatives for the decision-makers in the Eastern transport regions of Ghana. The result of this study shows that the criteria to consider when selecting freight transport mode in the regions are prioritized in other of Transport cost (0.6544), transport Time factors (0.2562), reliability, and flexibility (0.0605), and security, Risk of damage and lose factors (0.0287). Additionally, the suitable mode(s) of transportation in the stated corridor is owned truck carrier transport compared to the railroad, road-barge, and Contracted Carrier, thus, in descending order. The results provide organizations to prioritize these factors when deciding to select freight transport mode. At the same time, the government must remove some inputs that result in high transport costs, enforce policies, and invest in the appropriate mode.