Assessing Criteria Weights by the Symmetry Point of Criterion (Novel SPC Method)–Application in the Efficiency Evaluation of the Mineral Deposit Multi-Criteria Partitioning Algorithm

Information about the relative importance of each criterion or theweights of criteria can have a significant influence on the ultimate rank of alternatives.Accordingly,assessing the weights of criteria is a very important task in solving multi-criteria decision-making problems.Three methods are commonly used for assessing the weights of criteria:objective,subjective,and integrated methods.In this study,an objective approach is proposed to assess the weights of criteria,called SPCmethod(Symmetry Point of Criterion).This point enriches the criterion so that it is balanced and easy to implement in the process of the evaluation of its influence on decision-making.The SPC methodology is systematically presented and supported by detailed calculations related to an artificial example.To validate the developed method,we used our numerical example and calculated the weights of criteria by CRITIC,Entropy,Standard Deviation and MEREC methods.Comparative analysis between these methods and the SPC method reveals that the developedmethod is a very reliable objective way to determine the weights of criteria.Additionally,in this study,we proposed the application of SPCmethod to evaluate the efficiency of themulti-criteria partitioning algorithm.The main idea of the evaluation is based on the following fact:the greater the uniformity of the weights of criteria,the higher the efficiency of the partitioning algorithm.The research demonstrates that the SPC method can be applied to solving different multi-criteria problems.

A preliminary study on criteria weights for a library's digital resource selection:From the viewpoints of both users and librarians

Through investigating both users' and librarians' perceptions of the relative importance of the major criteria governing the selection of digital resources, we attempted to develop a criterion weight framework for a library's selection of digital resources, which can meet both the users' requirements and the library's goal of developing digital collections. The respective weight of each specific criterion is decided through the Analytic Hierarchy Process(AHP) Method. The findings of this study indicate that, when assigning weights to the selection criteria, it is important to consult the opinions of a wide crosssection of people, especially the views of different users. As a result, the digital resource selection system characterized by the criteria weights can reflect more comprehensively the users' requirements, and meanwhile it enables librarians' more rational selection of digital resources.

Multi-Criteria Group Decision-Making Method Based on an Improved Single-Valued Neutrosophic Hamacher Weighted Average Operator and Grey Relational Analysis

This paper proposes a multi-criteria decision-making (MCGDM) method based on the improved single-valued neutrosophic Hamacher weighted averaging (ISNHWA) operator and grey relational analysis (GRA) to overcome the limitations of present methods based on aggregation operators. First, the limitations of several existing single-valued neutrosophic weighted averaging aggregation operators (i.e. , the single-valued neutrosophic weighted averaging, single-valued neutrosophic weighted algebraic averaging, single-valued neutrosophic weighted Einstein averaging, single-valued neutrosophic Frank weighted averaging, and single-valued neutrosophic Hamacher weighted averaging operators), which can produce some indeterminate terms in the aggregation process, are discussed. Second, an ISNHWA operator was developed to overcome the limitations of existing operators. Third, the properties of the proposed operator, including idempotency, boundedness, monotonicity, and commutativity, were analyzed. Application examples confirmed that the ISNHWA operator and the proposed MCGDM method are rational and effective. The proposed improved ISNHWA operator and MCGDM method can overcome the indeterminate results in some special cases in existing single-valued neutrosophic weighted averaging aggregation operators and MCGDM methods.

基于多准则决策方法的避难场所选址模型研究

针对避难场所规划选址中的现实问题与需求,从方法易操作和可实施角度出发,构建了面向城市规划业务流程与工作实践的防灾避难场所选址模型。该模型基于多准则决策方法(MCDM),以避难场所选址的安全性和均好性为主要目标。模型综合考虑了人口密度、建筑质量、交通系统和避难场所设施配置四项选址影响因素,并采用AHP-熵权法确定影响要素权重。以江阴市为实证案例,套用模型经过两轮评估及编码者测试,最终明确了备选避难场所资源的优先建设排序,验证了模型的可行性与实用性。研究提出的影响要素和量化指标易于取得,打分方法便于操作,适用于城市规划阶段的避难场所规划选址与建设时序决策。

Landfill Siting Evaluation Using GIS and Multi-Criteria Decision-Making Method: A Case Study: Dammam Municipal Solid Waste Landfill

Waste landfills are a prominent global issue that does not concern a country without the other because of its long-term effects especially in the environmental aspect. As these pose an environmental threat to water, air and soil;and directly affect human life and health. Accordingly, this research uses the integration of Geographic Information Systems (GIS) and Multi-Criteria Decision-Making (MCDM) approaches to assess the location of the municipal solid waste dump in Dammam, which was established in (2000AD) twenty years ago, due to the lack of recent studies assessing the current status of the landfill and whether it is in a suitable location and keeps pace with the population and urbanization increase in the region. For this purpose, the researchers are using the tools and techniques of GIS to evaluate eight criteria on the study area. The required standards were directed to the landfill site and transformed into maps that represent the most important economic, social, environmental, geological, geomorphological and Public Acceptance standards. These standards have been processed using the tools of spatial and statistical analyses. Analytic Hierarchy Process (AHP) is implemented in geographical information system for building the suitable cartographic model, and thus allowed to determine the suitable degree of Dammam municipal solid waste landfill site in light of the study criteria. The study concluded that the current landfill site achieves a good degree of suitability, as it achieved 63% measured against the quality standards set by the study, and that the current landfill site conforms to most of the criteria in this study to a good degree. But it violates two standards, which are distance from wells standard and distance between landfill and the center of waste generation standard.

水利工程施工的IT2FS-MARCOS风险评价

为解决专家决策的主观性造成的风险评价不确定性和不同风险参数权重下考虑多种风险因子评价问题,这里提出一种基于IT2FS-MARCOS法的水利工程施工风险评价方法。首先确定水利工程施工风险指标评估体系,运用最优最劣法(BWM)融合基于层间相关性的客观赋权法(CRITIC)的组合赋权法对各风险参数的权重进行分析;然后引入区间2型模糊集(IT2FS)改进多准则决策中的基于折衷方案的备选方案排序法(MARCOS)计算各风险因素的效用函数值,基于效用函数值进行风险因素分析和评价。结合工程实例应用,表明:地质、天气条件和作业计划安排等风险因素危险程度较高,其中地质条件对该施工项目安全威胁最大,为水利工程施工需重点管理的风险因子。该模型的特点是不仅考虑了专家评价的模糊性,而且采用多准则决策方法避免对风险参数简单加权,与优劣解距离法(TOPSIS)相比,本方法与工程实际符合得更好,有望为处理水利工程不确定信息下的风险评价提供一种新的思路。

胰高糖素样肽-1受体激动剂临床应用合理性和安全性分析

目的调查住院患者接受胰高糖素样肽-1受体激动剂(GLP-1RA)治疗的情况,了解该类药物的应用现状和不良反应并分析其危险因素,为规范其临床合理应用提供依据。方法汇总国内外GLP-1RA权威指南、临床研究和专家共识,结合说明书形成GLP-1RA临床应用合理性评价标准。回顾性收集2021年1月至2023年4月广州医科大学附属第二医院使用GLP-1RA的住院患者的病历资料,按照已制订的评价标准进行合理性和安全性分析,并提出合理用药建议。结果共有261例患者应用GLP-1RA,其中有效病例258例,不合理使用病例共160例,不合理使用率达62.02%,以超适应证用药不合理和用法用量不适宜为主要原因;发生不良反应共3例,发生率为1.16%,主要是低血糖和转氨酶升高;临床使用期间应多关注患者血糖和肝肾功能指标,关注GLP-1RA的适应证、用法用量、禁忌证和联合用药等方面。结论GLP-1RA降糖、减重及保护心血管的作用备受关注,本研究针对医生使用GLP-1RA临床实践存在的问题和不良反应,提供具体可行的指导建议,以促进GLP-1RA的合理使用。

基于组合赋权-VIKOR的电能质量综合评估

针对大量高渗透率的分布式电源接入配电网导致的电能质量恶化问题,提出了一种基于组合赋权和多准则妥协解排序(VIKOR)法相结合的电能质量评估方法。首先,根据现有标准和工程实际情况,从幅值质量、波形质量和频率质量3个维度建立电能质量综合评估体系。其次,考虑到传统的9标度层次分析(AHP)法存在的缺陷,采用3标度对AHP法进行改进从而得到主观权重;为了避免单一赋权方法的不足,将熵权法中的熵值与指标相关法(CRITIC)中的信息量相结合得到客观权重,该方法统筹考虑了指标间的离散程度、相关度和对比度,并采用Lagrange乘子法将主客观权重进行结合。然后,采用VIKOR法得到各电能质量指标的综合评价值并对其进行优劣排序。最后,利用某地区的5个监测点所采集的电能质量各指标数据进行实例分析并与其他评价方法进行对比分析,验证了所提方法的可行性。

乡村振兴绩效评价指标体系构建与评价方法——基于自适应语言加权聚合算子

由于决策环境的复杂性以及人类思维的模糊性,人们往往会面对的语言信息多属性决策问题。为解决这一问题,我们给出一种基于自适应语言加权聚合算子的多准则决策方法,该方法可以在决策评价过程中如何降低认知偏差等因素给属性权重的可靠性和稳定性带来的影响。为此,首先提出了在新的语言集下多准则决策的聚合算子,包括语言加权几何平均算子和语言加权算术平均算子。在此基础上,针对区间变量构成的不确定语言信息集,提出一种自适应语言加权算术平均决策方法。最后利用该方法判断乡村振兴绩效优劣的合理性和实用性。

规模化屋顶光伏接入配电网的建设决策

围绕规模化屋顶光伏的选优建设问题,提出一种规模化屋顶光伏建设方案的综合评价方法。基于屋顶光伏建设的相关方分析,从供电影响侧、环保侧、经济侧、市场侧角度构建一套适用于屋顶光伏建设决策的综合评价指标体系,供电影响侧考虑并网运行质量与匹配度,环保侧体现绿色低碳效益,经济侧关注投资建设效益,市场侧反映应用参与度与接受度;采用层次分析-G1结合赋权法、改进的基于指标相关性的指标权重确定法分别求解指标主、客观权重,并通过改进的最小偏差组合赋权模型确定指标综合权重,采用优劣解距离法完成方案的评价与决策。算例仿真结果验证了所提方法的有效性。

Landfill Site Selection Using GIS and Multi-Criteria Decision-Making AHP and SAW Methods: A Case Study in Sulaimaniyah Governorate, Iraq

Lack of land for waste disposal is one of the main problems facing urban areas in developing countries. The Sulaimaniyah Governorate, located in northern Iraq, is one of the main cities of the country in the Kurdistan Region, covering an area of 2400 km2. Currently, there is no landfill site in the study region that meets scientific and environmental requirements, inappropriate dumping of solid waste causes adverse effects on the environment, economic and urban aesthetic. To overcome with this phenomenon, it is very crucial to suggest a landfill site, even in countries that recycle or burn their waste to protect the environment. Landfill sites should be carefully selected by considering all regulations and other restrictions. The integration of geographic information systems and multi-criteria decision analysis is used in this study to select suitable landfill locations in the region, for this purpose, thirteen layers are prepared according to their importance including urban area, villages, rivers, groundwater depth, slope, elevation, soil types, geological formations, roads, oil and gas field, land use classification, archaeological site and power lines. Two different methods (simple additive weighting and analytic hierarchy process) are implemented in a geographical information system to obtain the suitability index map for candidate landfill sites, where all these sites satisfied the scientific and environmental criteria which were adopted in this study. The comparison of the maps resulting from these two different methods demonstrates that both methods produced consistent results.

基于组合赋权-TOPSIS法的拆卸方案决策研究

拆卸是回收和再制造的重要步骤,为了使拆卸方案达到高效率、低排放以及高经济效益的目标,文章建立一种基于组合赋权-TOPSIS(technique for order preference by similarity to an ideal solution)法的拆卸方案决策模型。针对拆卸方案,从环境、技术和经济3个角度构建拆卸方案评价指标体系;依据最小信息熵原理,综合改进层次分析法(analytic hierarchy process,AHP)、熵权法与CRITIC(criteria importance through intercriteria correlation)法,为各指标进行组合赋权;使用组合权重改进TOPSIS模型,构建拆卸方案的贴近度指标,对拆卸方案进行判定;以银行自动取款机(automated teller machine,ATM)拆卸为实例进行分析,并与其他决策模型对比,验证所提决策模型的合理性及有效性,实现多拆卸方案的决策。

Bi-Criteria Optimization Technique in Stochastic System Maintenance Allocation Problem

In this paper, the problem of optimum allocation of repairable and replaceable components in a system is formulated as a Bi-objective stochastic non linear programming problem. The system maintenance time and cost are random variable and has gamma and normal distribution respectively. A Bi-criteria optimization technique, weighted Tchebycheff is used to obtain the optimum allocation for a system. A numerical example is also presented to illustrate the computational details.

基于组合赋权法的农村地区分布式能源系统综合评价

为了对农村地区分布式能源系统的综合效益作出评价,针对某分布式能源系统项目从节能性、经济性与环境性三方面建立了评价指标体系,提出了层次分析法(AHP)与熵值法相结合的主客观组合赋权方法,并构建了基于组合赋权法的逼近理想解排序法(TOPSIS)多属性综合评价模型,对各个运行方案的综合效益进行了优劣排序。研究结果表明:评价指标中经济性指标权重占比为0.415 2,农村地区在确定分布式能源系统运行方案时需首先考虑系统的经济性;分布式能源系统以沼气作为燃料系统的综合效益要好于天然气,对于生物质能相对丰富的农村地区宜采用沼气作为供能系统的燃料。

Effectiveness of Fuzzy Overlay Function for Multi-Criteria Spatial Modeling—A Case Study on Preparation of Land Resources Map for Mawsynram Block of East Khasi Hills District of Meghalaya, India

Multi-criteria spatial modeling is one of the important components of spatial decision support system (SDSS). Multi-criteria spatial modeling often requires a common scale of values for diverse and dissimilar inputs to create an integrated analysis. Weighted overlay function is most commonly used for site suitability analysis which identifies the most preferred locations for a specific phenomenon. However, weighted overlay function gives inconsistent and erroneous results for highly dissimilar inputs as it assumes that most favorable factors result in the higher values of raster, while identifying the best sites. This paper conveys the effectiveness of fuzzy overlay function for multi-criteria spatial modeling. It is based on the principle of fuzzy logic theory which defines membership using Gaussian function on each of the input rasters instead of giving individual rank to them like in weighted overlay function. A case study on preparation of land resources map for Mawsynram block of East Khasi Hills district of Meghalaya, India is presented here. It was observed that fuzzy overlay function has given more satisfactory output in terms of site suitability while comparing with the result of weighted overlay function.

飞机吊挂结构安全状态评估方法研究

针对飞行训练强度提高,安全性数据和现有评估手段无法准确判断飞机吊挂结构安全状态的问题,提出了组合赋权与灰云模型结合的飞机吊挂安全状态评估方法。根据现有飞机结构安全性评估指标体系,结合吊挂结构使用实际建立了吊挂安全状态评估指标体系;改进了指标相关性权重确定法(Criteria Importance Through Intercriteria Correlation,CRITIC)进行客观赋权,并通过可拓层次分析法(Extension Analytic Hierarchy Process,EAHP)与博弈论思想进行主客观组合赋权,结合灰云模型提出了一种新的飞机吊挂安全状态评估方法。根据建立的指标体系和提出的评估方法,对4个吊挂结构进行了安全状态评估,确定了各自安全状态及薄弱环节,验证了提出方法的有效性,为飞机吊挂结构安全状态的判断提供了有效手段。

基于改进最小生成树的三维路由算法

针对三维无线传感器网络分簇后,簇内节点单跳至簇头时簇内节点能量消耗大的问题,提出了基于改进最小生成树(improved minimum spanning tree,IMST)的三维路由协议(three dimensional routing protocol,3DRT),IMST_3DRT引入K-means++算法均衡选举簇头,把能量和跳数加入最小生成树(minimum spanning tree,MST)的权重均衡簇内能耗,引入一种客观赋权法CRITIC(criteria importance though intercrieria correlation)计算权重系数,选出均衡下一跳。该算法与3D-LEACH、3D-mst2017、3D-KBECRA算法相比,能耗利用率分别提高了38.9%、22.1%、31.5%,寿命分别延长了30.6%、12.5%、7.0%。仿真结果表明,此算法能降低网络能耗、延长网络寿命。

利用空间层次叠置方法分析江油市地下水潜力

地下水潜力分析可用于识别和保护地下水资源,降低水源开采的成本。传统的地下水潜力分析方法技术成熟、算法简单,但存在开采周期较长、预测准确率不高等问题。本文提出了一种地下水潜力空间层次叠置分析法(SHOM)。该方法首先利用空间分析法提取水文地质数据,并基于地下水汇流机理选取多种评价因子;然后利用层次分析法确定各因子的权重,以代替传统平均赋权或主观定权过程;最后建立地理单元进行空间叠置分析,完成地下水潜力评价。以四川省江油市作为研究区域,基于提出的SHOM分析方法,利用高程、坡度、离河距离、TWI、地形耐用指数(TRI)等12个水文地质特征,构建地下水潜力模型并进行区域地下水潜力评估;结果表明,江油市具有低、中、高地下水潜力的区域占比分别为12.97%、61.38%、25.65%,并与72个地下水井位进行验证,准确率为91.67%。

HULZNs环境下基于语义偏好参数的多准则群决策模型

针对语义分布不平衡环境下的语义偏好和决策信息的复杂性问题,为提高决策的准确性,提出了一个新型不平衡语言尺度函数.它可通过改变语义偏好参数来调节相邻语义之间的偏差,适用于不同的决策环境,并对相关性质进行了证明.在犹豫不确定语言型Z-numbers(hesitant uncertain linguistic Z-numbers,简称HULZNs)的环境下,定义了两个HULZNs之间的距离以及部分运算,建立了优先加权平均运算算子和一种新型多准则群决策模型.最后,对提出的新模型利用实例进行了分析,验证了方法的有效性和可行性.

深圳河流域城市洪涝风险分析

日益严峻的城市洪涝灾害严重威胁着城市安全和可持续发展,准确评估城市洪涝风险对于保护人民群众生命财产安全至关重要。本研究基于元胞自动机洪水模拟模型构建深圳河流域洪涝仿真模型,采用综合主观层次分析法和客观权重赋权法的博弈论组合赋权法对各指标赋权,评估和预测不同降雨情景下深圳河流域城市洪涝风险。结果表明:深圳河流域城市洪涝高风险区存在典型的时空差异,随着暴雨重现期的增加,面积占比从2年一遇的0.20%增加到100年一遇的0.82%;中低风险区面积占比从2年一遇的67.4%减少到100年一遇的64.7%。研究结果可有效识别深圳河流域洪涝风险分布,为完善深圳河流域洪涝综合防治体系,提升城市洪涝防御能力和韧性提供借鉴与参考。