Exploring critical attributes during air traffic congestion with a fuzzy DEMATEL–ANP technique: a case study in Ninoy Aquino International Airport

The constant growth of air travel in the Philippines has brought about significant consequences to air traffic congestion. Given limited resources, major airports seek to address this issue while considering various attributes generally affecting air transportation. This paper adopts fuzzy decision-making trial and evaluation laboratory-analytic network process （DEMATEL-ANP） to identify the most critical attributes in the commercial aviation industry. A case study participated by key experts of Ninoy Aquino International Airport was conducted to illustrate the proposed approach. The fuzzy DEMATELANP model performed satisfactorily as it was able to extract the global priority vectors of attributes under a fuzzy environment. The results showed that aviation safety is most prioritized, as can also be seen from the significant influence it brings on other attributes. Following next to safety in terms of priority axe attributes that address the general air transportation system such as economic value, environmental value, social value, equitable treatment of competing airline, customer goodwill, and utilization of runway and terminal. Then, attributes relating to passenger cost, fuel cost, extra crew cost, landing/take-off fee, and cost of using flight routes axe of last priority. Given the order of priorities and criticality of each attribute, shortterm and long-term policies can be framed accordingly to propose air traffic flow management actions that can best address the issue on congestion.

Relationship mapping of consumer buying behavior antecedents of secondhand clothing with fuzzy DEMATEL

This paper aims to identify the antecedents of buying behavior for secondhand clothing among millennials,as well as to determine their underlying causal relationships.Upon a comprehensive literature search,a total of 18 antecedents were found,and these are categorized into three motives,namely,economic,hedonic and recreational,and critical.As a case study in the Philippines,a focus group discussion among experts who are active millennial secondhand clothing users and buyers were tasked to identify the antecedents they have experienced and further confirm those extracted from the literature.To establish the causal relationships of these antecedents,categorize them into net causes or net effects,and address the vagueness associated with the decision-making process,a fuzzy DEMATEL method is used.Results reveal that avoidance of conventional channels proves to be the antecedent providing the highest impact among all other antecedents.Uniqueness,high quality,and fashion trend found to be the antecedents with the highest impacts received,making them the major net effects.Findings from this work hope to provide a framework among practitioners that would lead to a better understanding of millennials’buying behavior for secondhand clothing.

Identifying and Prioritizing Service Compensation Factors Influencing Nurses'Motivation:Application of Hybrid Fuzzy DEMATEL-BWM Method

Human resources are a key source of sustainable competitive advantage and are considered as one of the substantial factors for an organization's success.No organization can survive without its human resources.Understanding employees'needs,desires,and satisfaction is essential.Organizational managers consider financial and non-financial compensation for employees'service.There is a need for a practical look at the field of nursing service compensation,especially in the healthcare system.In this study,the factors affecting nursing service compensation in the selected private hospitals in Iran were initially identified and confirmed using the exploratory and confirmatory factor analyses.The three major factors are empowerment components,organizational components,and financial components.Then,the driver factors(causes)and dependent factors(effects)in the nursing service compensation system were investigated and their relationships were determined using the fuzzy DEMATEL technique.Finally,these factors were ranked using the best-worst(BWM)method.The results of BWM indicate that financial components gained the top-ranked,followed by organizational components,and empowerment components.

基于模糊DEMATEL-ISM的湖北省农业机械化可持续发展评价

如何促进农业机械化可持续发展是一项重要的研究课题,其首要任务是科学评价农业机械化可持续发展(The Evaluation of the Sustainable Development of Agricultural Mechanization,ESDAM)质量。农业机械化可持续发展受诸多因素影响和制约,该研究通过文献分析、调查和数据解析,利用模糊决策试验与评价实验室(DecisionMakingTrialand Evaluation Laboratory,DEMATEL)和解释结构模型(Interpretive Structure Modeling,ISM)组合方法,分析了影响农业机械化可持续发展各因素之间的关联关系,构建了农业机械化可持续发展评价指标体系。模糊DEMATEL-ISM法能较好地综合主观和客观评价意见,有助于厘清农业机械化可持续发展的主要影响因素。运用ESDAM-PSIR(压力-状态-影响-响应,Pressure-State-Impact-Response,PSIR)模型,对湖北省农业机械化可持续发展进行评价,并对2004—2020年湖北省的13项指标具体数据进行纵向比较,量化结果与湖北省农业机械化发展现状基本一致,所提方法具有可行性。分析结果表明,经济因素是目前农业机械化可持续发展最重要的影响因素,环境因素日益成为值得着重关注的因素,农机工业和科技的发展是将来需要重点考虑的问题。最后根据评价结果提出相应政策建议,为湖北省农业机械化可持续发展提供指导。

GIS-based landslide susceptibility modeling:A comparison between fuzzy multi-criteria and machine learning algorithms

Hazards and disasters have always negative impacts on the way of life.Landslide is an overwhelming natural as well as man-made disaster that causes loss of natural resources and human properties throughout theworld.The present study aimed to assess and compare the prediction efficiency of different models in landslide susceptibility in the Kysuca river basin,Slovakia.In this regard,the fuzzy decision-making trial and evaluation laboratory combining with the analytic network process(FDEMATEL-ANP),Naïve Bayes(NB)classifier,and random forest(RF)classifier were considered.Initially,a landslide inventory map was produced with 2000 landslide and nonlandslide points by randomly dividedwith a ratio of 70%:30%for training and testing,respectively.The geospatial database for assessing the landslide susceptibility was generated with the help of 16 landslide conditioning factors by allowing for topographical,hydrological,lithological,and land cover factors.The ReliefF methodwas considered for determining the significance of selected conditioning factors and inclusion in the model building.Consequently,the landslide susceptibility maps(LSMs)were generated using the FDEMATEL-ANP,Naïve Bayes(NB)classifier,and random forest(RF)classifier models.Finally,the area under curve(AUC)and different arithmetic evaluation were used for validating and comparing the results and models.The results revealed that random forest(RF)classifier is a promising and optimum model for landslide susceptibility in the study area with a very high value of area under curve(AUC=0.954),lower value of mean absolute error(MAE=0.1238)and root mean square error(RMSE=0.2555),and higher value of Kappa index(K=0.8435)and overall accuracy(OAC=92.2%).

旧工业建筑再生利用关键制约因素研究

科学识别旧工业建筑再生利用的关键制约因素,对促进旧工业建筑再生利用实施及城市可持续更新具有重要意义。首先,通过扎根理论总结11个影响西安市旧工业建筑再生利用的制约因素;然后,采用Fuzzy Decision-Making and Trial Evaluation Laboratory(DEMATEL)方法对制约因素之间的关系进行分析,进而确定影响旧工业建筑再生利用的关键制约因素。结果显示,相应的法律法规缺乏、支持政策不足、旧工业建筑信息不齐全和利益相关者认识不足是西安市旧工业建筑再生利用的关键制约因素。这表明政府在旧工业建筑再生利用发展中扮演至关重要的角色。因此,建议优先采取措施使政府对旧工业建筑再生利用加大重视力度并予以支持,发挥政府的引导作用,逐步推动旧工业建筑的再生利用。

能力视角下我国原油供应链弹性影响因素研究

我国原油供应对外依存度逐年提高,国际安全新形势下我国原油供应链的不确定性和中断风险进一步加大,提升供应链弹性成为保障我国原油稳定供应和炼化企业正常运转的关键。从抵御扰动全过程的能力视角解构原油供应链弹性,将其细分为吸收能力、适应能力和恢复能力并结合原油供应链结构,构建我国原油供应链弹性影响因素集;采用Fuzzy DEMATEL方法对20个影响因素及其相互作用关系进行深入探讨,得出供应源数量、供应源信誉、库存管理能力、管理层决策意识与能力、企业文化和资金支持水平6个关键影响因素。最后,提出新形势下我国原油供应链弹性提升的对策建议。

Risk identification and prioritization in banking projects of payment service provider companies:An empirical study

ldentifying risks and prioritizing is important for payment service provider(PSP)companies to get banking projects and gain more market share.However,studies regarding the identification of risks and causal relationships are insufficient in the lranian PSP industry and the industry is unique because of its characteristics.In this study,30 experts involved with PSP companies are employed as the research sample.Eleven key risks and 46 sub-risks are also ientified.Subsequently,the fuzzy decision-making trial and evaluation laboratory technique is applied to determine the effective and affected risks and the severity of their effects on each other.Finally,all risks are ranked.Due to the interal interrelationships of the main risks,the weight of each risk is calculated via the fuzy analytic network process.As the second-level risks have no significant interrelationships,they are ranked via the fuzzy analytical hierarchy process.Moreover,the best-worst method is used to ensure that the obtained rankings are reliable.This study identifies the risks affecting the loss of banking projects and determines the impacts of these risks on each.A sensitivity analysis is then conducted on the weights of the criteria,and the results are compared.