A Novel Extended EDAS in Minkowski Space (EDAS-M) Method for Evaluating Autonomous Vehicles

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dc.citation.epage264
dc.citation.spage255
dc.citation.volume28
dc.contributor.authorZAVADSKAS, Edmundas Kazimieras
dc.contributor.authorSTEVIĆ, Željko
dc.contributor.authorTURSKIS, Zenonas
dc.contributor.authorTOMAŠEVIĆ, Milovan
dc.date.accessioned2023-07-14T08:48:57Z
dc.date.available2023-07-14T08:48:57Z
dc.date.issued2019
dc.description.abstractMulti-Criteria Decision-Making (MCDM) methods have a significant influence on decision making in a variety of strategic fields, including science, business, and real-life studies. These methods also effectively support researchers in solving the emerging issues that may be encountered during their research activity. This work introduces a new Evaluation method based on the Distance from the Average Solution in the Minkowski space (EDAS-M). The main contribution of this study is the EDAS-M based MCDM model for the evaluation of an autonomous vehicle. Besides, the CRITIC (Criteria Importance Through Intercriteria Correlation) was used to determine objective criteria weights. The EDAS-M method provides a modified extension of the conventional Evaluation method based on the Distance from the Average Solution (EDAS) method. Seven different MADM methods are used to compare problem-solving results. Namely, the EDAS, WASPAS (Weighted Aggregated Sum Product ASsessment), SAW (Simple Additive Weighting), ARAS (Additive Ratio ASsessment), TOPSIS (Technique for Order Preference by Similarity Ideal Solution), TOPSIS-M (TOPSIS Minkowski space) and MABAC (Multi-Attributive Border Approximation Area Comparison) techniques validate the stability of the results obtained by using the new method above mentioned. Sensitivity analysis reflects the dynamics of the influence of dynamic matrices. It showed a high correlation of positions with all applied approaches. This correlation has also been maintained in a dynamic environment.
dc.identifier.doi/10.24846/v28i3y201902
dc.identifier.urihttps://vaseljena.ues.rs.ba/handle/123456789/459
dc.language.isoen
dc.publisherNational Institute for R&D in Informatics, ICI Bucharest.
dc.sourceStudies in Informatics and Control
dc.subjectEDAS, Minkowski space, EDAS-M, MCDM, Autonomous Vehicle, CRITIC.
dc.titleA Novel Extended EDAS in Minkowski Space (EDAS-M) Method for Evaluating Autonomous Vehicles
dc.typeArticle
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Саобраћајни факултет [Научни радови] / Faculty of Transport and Traffic Engineering [Scientific papers]