Journal of Multi-Criteria Decision Analysis最新文献_第9页

TSMAA-TRI: A temporal multi-criteria sorting approach under uncertainty TSMAA - TRI:不确定条件下的时间多准则排序方法

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Journal of Multi-Criteria Decision Analysis Pub Date : 2021-03-05 DOI: 10.1002/mcda.1742

Youness Mouhib, Anissa Frini

{"title":"TSMAA-TRI: A temporal multi-criteria sorting approach under uncertainty","authors":"Youness Mouhib, Anissa Frini","doi":"10.1002/mcda.1742","DOIUrl":"10.1002/mcda.1742","url":null,"abstract":"In recent years, the Quebec government has highlighted the importance of making decisions that are both sustainable and robust under climate change uncertainties. This paper aims to answer the following question: How to sort the alternatives according to their degree of sustainability achievement while evaluations are uncertain and temporal? The general objective of the paper is to propose a first temporal sorting method under stochastic uncertainty. The proposed method, called TSMAA-Tri, will assign each alternative to a predefined category based on a generalization of SMAA-Tri to a temporal context (multi-period evaluation of alternatives) where alternative evaluations are stochastic. The method starts performing Monte Carlo simulations to generate stochastic evaluation values. Each simulation (scenario of uncertainty) will generate a specific value for each criterion using the corresponding probability distribution. Then, aggregation consists in applying SMAA Tri at each period and performing a triple aggregation: (a) uncertainty aggregation; (b) multi-criteria aggregation; and (c) temporal aggregation. Multi-criteria aggregation consists in applying the SMAA-TRI method at each period. Then, two ways of temporal aggregation are proposed, based either on acceptability index or on outranking index of boundary profile. The proposed method is illustrated for sustainable forest management to show its applicability.","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"28 3-4","pages":"185-199"},"PeriodicalIF":2.0,"publicationDate":"2021-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/mcda.1742","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42479550","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}

引用次数: 8

A decision model approach for determining social innovation potential of technological projects 确定科技项目社会创新潜力的决策模型方法

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Journal of Multi-Criteria Decision Analysis Pub Date : 2021-02-25 DOI: 10.1002/mcda.1741

Fatih Ozdemir, Ilker Murat Ar, Birdogan Baki

{"title":"A decision model approach for determining social innovation potential of technological projects","authors":"Fatih Ozdemir, Ilker Murat Ar, Birdogan Baki","doi":"10.1002/mcda.1741","DOIUrl":"10.1002/mcda.1741","url":null,"abstract":"Since project management is inevitably a social effort involving all relevant actors, social aspects have to be emphasized when considering collaborative project management. Social innovation focuses on reacting to social demands and developing innovative solutions to overcome various social issues. Therefore, determining the social innovation potential in the project management process is very important. The main purpose of this study is to propose a Fuzzy Analytic Network Process (FANP) and Fuzzy VIKOR (FVIKOR)-based decision model to determine the social innovation potential of technological projects. The results of FANP revealed that the most important criteria for determining social innovation potential of projects are financial resources, technological developments and social capital. Furthermore, FVIKOR was used for ranking social innovation potential of the selected technological projects. There are several managerial implications of this study. First, we suggest that practitioners should integrate the proposed model into their project evaluation processes. Second, they can also use this model to define the social innovation factors during project selection. Lastly, the proposed model can be employed to prioritize the social innovation factors that enable managers to allocate the appropriate resources to project management process.","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"28 1-2","pages":"112-125"},"PeriodicalIF":2.0,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/mcda.1741","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46504070","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}

引用次数: 1

Analysis of some incentives on two-echelon reverse supply chain with a strategic consumer: The case of unwanted medications in households 具有战略消费者的两级逆向供应链的激励分析:以家庭中不需要的药物为例

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Journal of Multi-Criteria Decision Analysis Pub Date : 2021-02-02 DOI: 10.1002/mcda.1736

Iside Rita Laganà, Somayeh Sharifi, Mehrnoosh Khademi, Mehdi Salimi, Massimiliano Ferrara

{"title":"Analysis of some incentives on two-echelon reverse supply chain with a strategic consumer: The case of unwanted medications in households","authors":"Iside Rita Laganà, Somayeh Sharifi, Mehrnoosh Khademi, Mehdi Salimi, Massimiliano Ferrara","doi":"10.1002/mcda.1736","DOIUrl":"10.1002/mcda.1736","url":null,"abstract":"In this article, there is established a reverse logistics (RL) system to collect unwanted medications (UMs) in households. A reverse supply chain (RSC) is proposed in a decentralized state including manufacturer, and retailer involving a strategic consumer. The novelty of this article is that the model is investigated from the consumer's perspective, whereas in the previous studies, the proposed models were from other upstream members' perspectives such as manufacturer and retailer. Furthermore, inducement and advertising strategies are proposed for stimulating consumers to engage more in an RSC. To analyse the effect of these two strategies, the three-person RSC game-theoretical approach is used. A three-person supply chain consists of a pharmaceutical manufacturer and a retailer who will interact with a strategic consumer in several non-cooperative Stackelberg games. Three Stackelberg games are established and, each member takes a turn as a leadership role and the other two players assume the role of the follower.","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"29 1-2","pages":"37-48"},"PeriodicalIF":2.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/mcda.1736","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49090467","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}

引用次数: 7

Stochastic preemptive goal programming to balance goal achievements under uncertainty 不确定性条件下平衡目标成就的随机抢先目标规划

IF 2

Journal of Multi-Criteria Decision Analysis Pub Date : 2021-01-27 DOI: 10.1002/mcda.1734

Matthew C. Ledwith, Brandon J. Hufstetler, Mark A. Gallagher

{"title":"Stochastic preemptive goal programming to balance goal achievements under uncertainty","authors":"Matthew C. Ledwith, Brandon J. Hufstetler, Mark A. Gallagher","doi":"10.1002/mcda.1734","DOIUrl":"10.1002/mcda.1734","url":null,"abstract":"Structured decision-making in the presence of conflicting goals is difficult, and even more so when accounting for uncertainties in the goals or constraints. In this article, we propose a new approach to multi-criteria decision-making that extends the deterministic preemptive goal programming approach to account for such uncertainties. The uncertainties may be characterized in various ways including a Bayesian network or extensive Monte Carlo multi-variate output. We contend the proposed stochastic preemptive goal programming approach is particularly applicable when better goal achievement increases uncertainty or induces risk to other goals. Resulting solutions tend to be a balance of the goals' achievements and robust to minor changes to the goals or constraints. We demonstrate the approach using three illustrative examples: a univariate example, a bivariate example, and a stock portfolio optimization example along with an application to determine military requests for absence. Our preliminary results suggest that a stochastic preemptive goal programming approach represents an effective means of analysing multi-criteria decision-making problems under uncertainty.","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"28 1-2","pages":"85-98"},"PeriodicalIF":2.0,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/mcda.1734","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45134313","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}

引用次数: 1

Selection criteria for prison locations: Key study of Turkey 监狱选址标准:土耳其重点研究

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Journal of Multi-Criteria Decision Analysis Pub Date : 2021-01-25 DOI: 10.1002/mcda.1735

Ahmet Tuğcin Uzuner, Umut Burak Geyikçi

引用次数: 2

Preference modelling in sorting problems: Multiple criteria decision aid and statistical learning perspectives 排序问题中的偏好模型:多标准决策辅助和统计学习视角

IF 2

Journal of Multi-Criteria Decision Analysis Pub Date : 2021-01-25 DOI: 10.1002/mcda.1737

Levent Erişkin

引用次数: 9

A disaggregation approach for indirect preference elicitation in Electre TRI-nC: Application and validation Electre TRI‐nC中间接偏好诱导的分解方法：应用和验证

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Journal of Multi-Criteria Decision Analysis Pub Date : 2021-01-05 DOI: 10.1002/mcda.1730

Parisa Madhooshiarzanagh, Irène Abi-Zeid

{"title":"A disaggregation approach for indirect preference elicitation in Electre TRI-nC: Application and validation","authors":"Parisa Madhooshiarzanagh, Irène Abi-Zeid","doi":"10.1002/mcda.1730","DOIUrl":"10.1002/mcda.1730","url":null,"abstract":"Multicriteria sorting methods are often used in decision aiding contexts where the objective is to assign alternatives to predefined ordered categories. The Electre Tri family of sorting methods is based on pairwise comparisons of the alternatives with some, possibly fictional, alternatives that are either upper or lower limits of the categories (Electre Tri-B), or one or more typical reference alternatives, that is, representative categories profiles (Electre Tri-C, Tri-nC). In this paper, we are interested in the Electre Tri-nC method and in indirect preference elicitation based on partial information provided by the Decision Maker. We therefore propose, apply and evaluate a preference disaggregation method for learning criteria weights and the credibility threshold used in Electre Tri-nC. The proposed disaggregation method is validated in an experiment using a climate classification problem for light tourism where 62,482 touristic locations are sorted into four categories. A robustness analysis of the method's performance using 150 learning sets is conducted and the results are presented and discussed.","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"28 3-4","pages":"144-159"},"PeriodicalIF":2.0,"publicationDate":"2021-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/mcda.1730","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44627734","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}

引用次数: 6

Application of spatial multicriteria decision analysis in healthcare: Identifying drivers and triggers of infectious disease outbreaks using ensemble learning 空间多标准决策分析在医疗保健中的应用:利用集成学习识别传染病爆发的驱动因素和触发因素

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Journal of Multi-Criteria Decision Analysis Pub Date : 2021-01-04 DOI: 10.1002/mcda.1732

Phani Devarakonda, Ravi Sadasivuni, Rodrigo A. A. Nobrega, Jianhong Wu

{"title":"Application of spatial multicriteria decision analysis in healthcare: Identifying drivers and triggers of infectious disease outbreaks using ensemble learning","authors":"Phani Devarakonda, Ravi Sadasivuni, Rodrigo A. A. Nobrega, Jianhong Wu","doi":"10.1002/mcda.1732","DOIUrl":"10.1002/mcda.1732","url":null,"abstract":"Modelling infectious diseases is a complex and multi-disciplinary problem that necessitates the combined use of multicriteria decision analysis (MCDA) and machine learning (ML) in a spatial framework. This research attempts to demonstrate the extensive applications of MCDA in the field of public health and to illustrate its utility with the combined use of spatial models and machine learning. The study investigates the risk factors for communicable diseases with a focus on vector-borne infectious diseases, such as West Nile Virus (WNV), malaria, dengue, etc. It aims to quantify vector-borne disease risk by examining the geographic contextual effects of socio-economic, climatic, and environmental factors using the objective-weighting technique adopted from MCDA and machine learning in a geographic information systems (GIS) framework. The authors attempted to minimize subjective bias from the decision space by utilizing an objective-weighted technique to quantify the risk. The study adopted Shannon's entropy to derive weights for each factor and its classes. The derived weighted layers are fed to an artificial neural network to obtain a final map of risk susceptibility. This final risk map allows policymakers to examine vulnerable areas and identify the factors pivotal to the contribution of risk. Findings show the traffic volume as the most influential variable, and terrain slope as the least one in the disease spread for the study area. The risk appears to be concentrated and distributed along vegetation, wetlands, and around water bodies. The results produced by ensemble learning show great promise with more than 94% accuracy. The accuracy of the results was determined by the confusion matrix and the kappa index of agreement (KIA). The vector control programmes need to adapt to better manage the dynamic changes in patterns involving vector-borne infectious diseases.","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"29 1-2","pages":"23-36"},"PeriodicalIF":2.0,"publicationDate":"2021-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/mcda.1732","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42547125","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}

引用次数: 9

Rating or sorting: Terminology matters 评级或排序:术语很重要

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Journal of Multi-Criteria Decision Analysis Pub Date : 2021-01-03 DOI: 10.1002/mcda.1733

Alberto Colorni, Alexis Tsoukiàs

引用次数: 8

A distance based multiple criteria sorting method without class thresholds 一种不带类阈值的基于距离的多标准排序方法

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Journal of Multi-Criteria Decision Analysis Pub Date : 2020-12-29 DOI: 10.1002/mcda.1731

Esra Karasakal, Merve Civelek

引用次数: 5