dc.contributor.author | Krylovas, Aleksandras | |
dc.contributor.author | Kosareva, Natalja | |
dc.contributor.author | Zavadskas, Edmundas Kazimieras | |
dc.date.accessioned | 2023-09-18T16:42:21Z | |
dc.date.available | 2023-09-18T16:42:21Z | |
dc.date.issued | 2017 | |
dc.identifier.issn | 1841-9836 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/116178 | |
dc.description.abstract | The attributes weight establishing problem is one of the most important MCDM tasks. This study summarizes weight determining approach which is called WEBIRA (WEight Balancing Indicator Ranks Accordance). This method requires to solve complicated optimization problem and its application is possible by carrying out non trivial calculations. The efficiency of WEBIRA and other MCDM methods – SAW (Simple Additive Weighting) and EMDCW (Entropy Method for Determining the Criterion Weight) compared for 4 different data normalization methods. The re-sults of the study revealed that more sophisticated WEBIRA method is significantly efficient for all considered numbers of alternatives. Efficiency of all methods decreases with increasing number of alternatives, but WEBIRA is still applicable, while appli-cation of other methods is impossible as the number of alternatives is greater than 11. WEBIRA is the least affected by the data normalization, while EMDCW is the most affected method. | eng |
dc.format | PDF | |
dc.format.extent | p. 238-253 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | lit | |
dc.relation.isreferencedby | DOAJ | |
dc.relation.isreferencedby | Scopus | |
dc.relation.isreferencedby | Science Citation Index Expanded (Web of Science) | |
dc.source.uri | http://univagora.ro/jour/index.php/ijccc/article/view/2844 | |
dc.subject | FM03 - Fizinių, technologinių ir ekonominių procesų matematiniai modeliai ir metodai / Mathematical models and methods of physical, technological and economic processes | |
dc.title | WEBIRA - comparative analysis of weight balancing method | |
dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
dcterms.references | 34 | |
dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.faculty | Fundamentinių mokslų fakultetas / Faculty of Fundamental Sciences | |
dc.contributor.faculty | Statybos fakultetas / Faculty of Civil Engineering | |
dc.subject.researchfield | N 001 - Matematika / Mathematics | |
dc.subject.researchfield | S 003 - Vadyba / Management | |
dc.subject.ltspecializations | L104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies | |
dc.subject.en | WEBIRA | |
dc.subject.en | SAW | |
dc.subject.en | EMDCW | |
dc.subject.en | multi-attribute decision making (MADM) | |
dc.subject.en | entropy | |
dc.subject.en | KEMIRA | |
dcterms.sourcetitle | International journal of computers, communications & control (IJCCC) | |
dc.description.issue | iss. 2 | |
dc.description.volume | vol. 12 | |
dc.publisher.name | Agora University | |
dc.publisher.city | Oradea | |
dc.identifier.doi | 000395506500007 | |
dc.identifier.doi | 2-s2.0-85014752864 | |
dc.identifier.doi | 10.15837/ijccc.2017.2.2844 | |
dc.identifier.elaba | 21053450 | |