EURO Journal on Decision Processes最新文献

{"title":"A Portfolio Selection Model for Planning Natural Gas Smart Energy Hubs with a Multicriteria Benefit-to-Cost Ratio-Based Approach","authors":"Eduarda Asfora Frej ,&nbsp;Carolina Lino Martins ,&nbsp;Lucas Borges Leal da Silva ,&nbsp;João Batista Sarmento dos Santos Neto ,&nbsp;Adiel Teixeira de Almeida","doi":"10.1016/j.ejdp.2025.100060","DOIUrl":"10.1016/j.ejdp.2025.100060","url":null,"abstract":"<div><div>In the context of advancing energy infrastructure, the planning and development of natural gas smart energy hubs have gained importance as essential components of sustainable energy systems. Thus, this paper introduces a portfolio selection model designed to improve the planning process for natural gas smart energy hubs. The proposed model integrates a multicriteria benefit-to-cost ratio-based (BCR) heuristic approach with surrogate weights and swing elicitation procedure, providing a robust framework for decision-makers to assess and prioritize investment options. The methodology encompasses a diverse set of criteria, including economic, environmental, and social factors, ensuring a holistic evaluation of candidate projects. A Decision Support System (DSS) called ROCSPort was proposed to operationalize and validate the proposed methodology, with a view to providing a streamlined preference modeling process for the decision-maker. The DSS also performs a sensitivity analysis based on a Monte-Carlo simulation approach, and statistical tests can be performed to verify the stability of the results. The model’s applicability is demonstrated through a numerical application in a Brazilian energy company, illustrating its capacity to improve the selection of projects based on predefined objectives and constraints. The findings contribute to the energy planning context by offering a systematic and adaptable approach and tool for portfolio selection, aiding decision-makers involved in determining a sustainable energy infrastructure.</div></div>","PeriodicalId":44104,"journal":{"name":"EURO Journal on Decision Processes","volume":"13 ","pages":"Article 100060"},"PeriodicalIF":2.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144665617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cross-efficiency aggregation method considering bounded rationality: An application to healthcare service","authors":"Hao Pan ,&nbsp;Guoliang Yang ,&nbsp;Yuanyu Lou ,&nbsp;Zhongcheng Guan","doi":"10.1016/j.ejdp.2025.100059","DOIUrl":"10.1016/j.ejdp.2025.100059","url":null,"abstract":"<div><div>The cross-efficiency evaluation method is a powerful tool for assessing efficiency. However, previous research has often overlooked the bounded rationality of decision makers (DMs), thereby neglecting key factors. To address this gap, we investigate the cross-efficiency weight aggregation method under bounded rationality. Firstly, we develop a utility function incorporating inequality aversion and overconfidence, integrating them into the cross-efficiency weight aggregation process to formulate the equity-minded cross-efficiency method. Secondly, building upon this method, we address consensus issues within evaluation groups by introducing a consensus compromise algorithm. This algorithm aims to reconcile group opinions based on the principles of the equity-minded cross-efficiency approach. Furthermore, we apply our model to evaluate healthcare service efficiency in China. Our analysis explores the impact of overconfidence and fairness preferences, using a Tobit regression model to examine factors influencing healthcare service efficiency.</div></div>","PeriodicalId":44104,"journal":{"name":"EURO Journal on Decision Processes","volume":"13 ","pages":"Article 100059"},"PeriodicalIF":2.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143859080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial for “Recent advances and applications of multi-objective optimization”","authors":"Gulsah Karakaya ,&nbsp;Banu Lokman","doi":"10.1016/j.ejdp.2024.100049","DOIUrl":"10.1016/j.ejdp.2024.100049","url":null,"abstract":"","PeriodicalId":44104,"journal":{"name":"EURO Journal on Decision Processes","volume":"12 ","pages":"Article 100049"},"PeriodicalIF":1.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2193943824000050/pdfft?md5=3482a3d8491d4b7f19b406b7a76b0ecb&pid=1-s2.0-S2193943824000050-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140796828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding tourists’ behavior toward transport mode choice by using machine learning methods","authors":"Ali Jamal Mahdi ,&nbsp;Domokos Esztergár-Kiss","doi":"10.1016/j.ejdp.2024.100054","DOIUrl":"10.1016/j.ejdp.2024.100054","url":null,"abstract":"<div><div>Recently, transportation problems in evolving cities have become increasingly complex thus requiring innovative solutions. The complexity arises from the combination of urbanization, technological advancements, and diverse demographics. Therefore, integrating advanced methodologies, such as machine learning (ML), into transportation planning becomes essential. This study explores the application of ML techniques to predict and understand tourists’ transport mode choices when engaging in leisure activities. A comparative analysis of various ML algorithms including Neural Networks, k-Nearest Neighbor (k-NN), Naive Bayesian, Decision Tree, Support Vector Machines, Discriminant Analysis, and Ensembles reveals distinctive strengths and trade-offs. Based on the results, Neural Networks demonstrate high accuracy, precision, recall, and specificity, which makes the algorithm well-suited to predict transport mode choices. While k-NN exhibits competitive precision and recall, it struggles with specificity and indicates a higher false positive rate. These findings support transportation planners to select the most suitable algorithm according to the desired outcomes. The adoption of these advanced approaches enhances the understanding of travel behavior thus offering valuable tools for developing efficient urban transportation systems.</div></div>","PeriodicalId":44104,"journal":{"name":"EURO Journal on Decision Processes","volume":"12 ","pages":"Article 100054"},"PeriodicalIF":2.3,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142706381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “Multi-objective optimization in real-time operation of rainwater harvesting systems” [EURO Journal on Decision Processes Volume 11 (2023) 100039]","authors":"Yi Zhen ,&nbsp;Kate Smith-Miles ,&nbsp;Tim D. Fletcher ,&nbsp;Matthew J. Burns ,&nbsp;Rhys A. Coleman","doi":"10.1016/j.ejdp.2024.100045","DOIUrl":"10.1016/j.ejdp.2024.100045","url":null,"abstract":"","PeriodicalId":44104,"journal":{"name":"EURO Journal on Decision Processes","volume":"12 ","pages":"Article 100045"},"PeriodicalIF":1.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2193943824000013/pdfft?md5=f8225429972c363b86f420a257830833&pid=1-s2.0-S2193943824000013-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139919439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"PROMETHEE-Cloud: A web app to support multi-criteria decisions","authors":"Erik Pohl,&nbsp;Jutta Geldermann","doi":"10.1016/j.ejdp.2024.100053","DOIUrl":"10.1016/j.ejdp.2024.100053","url":null,"abstract":"<div><div>Multi-Criteria Decision Analysis (MCDA) is a systematic approach to evaluating and prioritizing alternatives based on multiple, often conflicting, criteria. It integrates quantitative and qualitative data, expert judgment, and stakeholder input to support transparent and structured decision making. Recent advances in MCDA methodologies have been supported by the development of software tools that enhance their practical application. This paper presents PROMETHEE-Cloud, a web-based tool for applying the PROMETHEE methodologies. PROMETHEE-Cloud provides user-friendly interfaces for a range of functionalities such as sensitivity analysis, e.g., Monte Carlo simulations, Walking Weights, Insensitivity Intervals and supports the import/export of decision models. Furthermore, PROMETHEE-Cloud is used to evaluate sustainability measures for a container terminal. The results show the effectiveness of the tool in helping decision makers to identify and prioritize optimal solutions under multiple conflicting criteria.</div></div>","PeriodicalId":44104,"journal":{"name":"EURO Journal on Decision Processes","volume":"12 ","pages":"Article 100053"},"PeriodicalIF":2.3,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142531219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dishonesty, neutralisation and nudging","authors":"Takudzwa Mutyavaviri ,&nbsp;Karl van der Schyff ,&nbsp;Karen Renaud","doi":"10.1016/j.ejdp.2024.100052","DOIUrl":"10.1016/j.ejdp.2024.100052","url":null,"abstract":"<div><p>E-banking offers clients unparalleled convenience but also exposes them to potential fraud from cyber criminals. Traditionally, banks use technical security measures to ameliorate these kinds of threats. These measures, while essential, are not universally efficacious in preventing fraud. It would be wise to augment technical measures with softer measures such as behavioural interventions (i.e., nudges). In this paper, we report on the effectiveness of behavioural nudges designed to dissuade opportunistic “others” from committing e-banking fraud. Here, we report on an investigation into the impact of the deployment of a number of behavioural nudges in an e-banking customer interface. We evaluated their impact through semi-structured interviews with e-banking customers in the United States of America. We found that nudges which emphasise empathy and heightened awareness of traditional security measures were remarkably effective in dissuading dishonesty. Notably, deployment immediately after login yielded optimal results. Our findings highlight the potential of behavioural nudges to reduce e-banking fraud, thereby augmenting traditional technical countermeasures. We conclude with recommendations for future research.</p></div>","PeriodicalId":44104,"journal":{"name":"EURO Journal on Decision Processes","volume":"12 ","pages":"Article 100052"},"PeriodicalIF":2.3,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2193943824000086/pdfft?md5=76a20278e5a448a451a52f62b0cb577e&pid=1-s2.0-S2193943824000086-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141630341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multiobjective combinatorial optimization with interactive evolutionary algorithms: The case of facility location problems","authors":"Maria Barbati ,&nbsp;Salvatore Corrente ,&nbsp;Salvatore Greco","doi":"10.1016/j.ejdp.2024.100047","DOIUrl":"https://doi.org/10.1016/j.ejdp.2024.100047","url":null,"abstract":"<div><p>We consider multiobjective combinatorial optimization problems handled by preference-driven efficient heuristics. They look for the most preferred part of the Pareto front based on some preferences expressed by the user during the process. In general, the Pareto set of efficient solutions is searched for in this case. However, obtaining the Pareto set does not solve the decision problem since one or more solutions, being the most preferred for the user, have to be selected. Therefore, it is necessary to elicit their preferences. What we are proposing can be seen as one of the first structured methodologies in facility location problems to search for optimal solutions taking into account the preferences of the user. To this aim, we use an interactive evolutionary multiobjective optimization procedure called NEMO-II-Ch. It is applied to a real-world multiobjective location problem with many users and many facilities to be located. Several simulations have been performed. The results obtained by NEMO-II-Ch are compared with those obtained by three algorithms knowing the user’s “true” value function that is, instead, unknown to NEMO-II-Ch. They show that in many cases, NEMO-II-Ch finds the best subset of locations more quickly than the methods knowing the whole user’s true preferences.</p></div>","PeriodicalId":44104,"journal":{"name":"EURO Journal on Decision Processes","volume":"12 ","pages":"Article 100047"},"PeriodicalIF":1.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2193943824000037/pdfft?md5=5aad75f065d334330ff4d9a6c2431f38&pid=1-s2.0-S2193943824000037-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140041478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Performance assessment of waste sorting: Component-based approach to incorporate quality into data envelopment analysis","authors":"Harald Dyckhoff ,&nbsp;Rainer Souren ,&nbsp;Marcel Clermont","doi":"10.1016/j.ejdp.2024.100048","DOIUrl":"10.1016/j.ejdp.2024.100048","url":null,"abstract":"<div><p>Waste sorting is an important recovery process in circular product systems. Engineering sciences deal with its performance measurement by analysing various parameter settings based on technical key figures derived from object and component quantities. They are difficult to aggregate, especially since there are no prices for all inputs and outputs. Data Envelopment Analysis (DEA) allows an aggregation without implementing prices or weight restrictions. This paper shows how DEA can be used as performance measurement method for sorting processes, whose purpose it is to separate different material components from a waste mixture as effectively and efficiently as possible. This is achieved when the individual components are sorted out into their respective recycling bins with as little effort as possible and without allowing too many incorrect throws. In this respect, sorting processes represent pure material reallocations – and no material transformations. Thus, valid material balances of sorting technologies do not allow for free disposability. A new multiple criteria DEA approach is suggested, which uses input and output objects that entirely consist of components determining the object's value. Different from common DEA approaches, the technological perspective of modelling the underlying production system is strictly separated from the preference perspective of modelling multiple performance criteria for the relevant input and output types and sorts. In more detail, we develop DEA models for a combined evaluation of operating and quality efficiency where both inputs and outputs are characterised by sorts or grades of varying quality. In contrast to existing approaches that map quality into DEA we reflect upon the underlying technological assumptions and analyse which dominance relations result from that in our case of waste sorting.</p></div>","PeriodicalId":44104,"journal":{"name":"EURO Journal on Decision Processes","volume":"12 ","pages":"Article 100048"},"PeriodicalIF":1.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2193943824000049/pdfft?md5=3d266ef1100d11ad1a53df9cb74987f0&pid=1-s2.0-S2193943824000049-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140279759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial: Feature issue on fair and explainable decision support systems","authors":"Luis Galárraga ,&nbsp;Miguel Couceiro","doi":"10.1016/j.ejdp.2024.100046","DOIUrl":"10.1016/j.ejdp.2024.100046","url":null,"abstract":"","PeriodicalId":44104,"journal":{"name":"EURO Journal on Decision Processes","volume":"12 ","pages":"Article 100046"},"PeriodicalIF":1.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2193943824000025/pdfft?md5=28f73e98ce2324ebea97aabfe514b3b0&pid=1-s2.0-S2193943824000025-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139885571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}