dc.contributor.author | Kosareva, Natalja | |
dc.contributor.author | Krylovas, Aleksandras | |
dc.contributor.author | Soltanifar, Mehdi | |
dc.date.accessioned | 2023-09-18T16:19:18Z | |
dc.date.available | 2023-09-18T16:19:18Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/113167 | |
dc.description.abstract | The KEmeny Median Indicator Ranks Accordance (KEMIRA) method [1] is one of the newest Multi-Attribute Decision Making (MADM) methods that is used for problems in which criteria are inherently divided into two or more categories. Increasing computational complexity in the face of large-scale problems as well as the inflexibility of the method in increasing the categories of criteria are among the disadvantages of this method. Preferential voting is a decision-making method based on a linear programming model with weight restrictions [2], which in combination with KEMIRA can significantly eliminate its shortcomings. This talk presents the new Voting-KEMIRA method to achieve this purpose, which is more flexible and has less computational complexity. The new hybrid method is implemented on a real–world problem and compared to the previous method. | eng |
dc.format.extent | p. 7 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.source.uri | http://inga.vgtu.lt/~art/konf/2020/abstr/MMA_2022_abstracts.pdf | |
dc.title | Voting-KEMIRA method for determining criteria priority and weights in solving multi-attribute decision making problems | |
dc.type | Konferencijos pranešimo santrauka / Conference presentation abstract | |
dcterms.references | 2 | |
dc.type.pubtype | T2 - Konferencijos pranešimo tezės / Conference presentation abstract | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.institution | Islamic Azad University | |
dc.contributor.faculty | Fundamentinių mokslų fakultetas / Faculty of Fundamental Sciences | |
dc.subject.researchfield | N 001 - Matematika / Mathematics | |
dc.subject.vgtuprioritizedfields | FM0101 - Fizinių, technologinių ir ekonominių procesų matematiniai modeliai / Mathematical models of physical, technological and economic processes | |
dc.subject.ltspecializations | L104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies | |
dcterms.sourcetitle | Mathematical Modelling and Analysis [MMA2022] : 25th international conference, May 30 - June 2, 2022, Druskininkai, Lithuania : abstracts | |
dc.publisher.name | Vilnius Gediminas Technical University | |
dc.publisher.city | Vilnius | |
dc.identifier.elaba | 132284736 | |