Selection of Carpenter Manufacturer using Fuzzy EDAS Method
dc.citation.epage | 290 | |
dc.citation.spage | 281 | |
dc.citation.volume | 29 | |
dc.contributor.author | Stević, Željko | |
dc.contributor.author | Vasiljevic, Marko | |
dc.contributor.author | Zavadskas, Edmundas Kazimieras | |
dc.contributor.author | Sremac, Siniša | |
dc.contributor.author | Turskis, Zenonas | |
dc.date.accessioned | 2023-08-22T11:19:54Z | |
dc.date.available | 2023-08-22T11:19:54Z | |
dc.date.issued | 2018 | |
dc.description.abstract | Making a decision in everyday life always comes with uncertainty and responsibility. To reduce the risk to a minimum and to make the right decision, a person can use methods of multi-criteria analysis in combination with fuzzy logic. A married couple, representing decision-makers in this case study, have purchased an apartment and it needs to be completely refurbished including outside carpentry. The aim of this study is to select the most suitable manufacturer of PVC carpentry for the apartment refurbishing. A total pool of 14 quantitative and qualitative criteria is used as a base for the selection of the most suitable manufacturer of the seven available. For this case study, we will use one of the newer methods – - multi-criteria analysis of fuzzy Evaluation Based on Distance from Average Solution (fuzzy EDAS) method. After obtaining the results, an analysis of sensitivity has been conducted showing the stability of results where manufacturer number 4 represents an optimal solution in 13 experimental sets out of 14 in total. | |
dc.identifier.doi | 10.5755/j01.ee.29.3.16818 | |
dc.identifier.uri | https://vaseljena.ues.rs.ba/handle/123456789/540 | |
dc.language.iso | en | |
dc.publisher | KAUNAS UNIV TECHNOLOGY, LITHUANIA | |
dc.source | Engineering Economics | |
dc.subject | Multi-Criteria Decision Making; Fuzzy Evaluation Based on Distance from Average Solution (Fuzzy EDAS); Manufacturer; Decision-Maker; Trapezoidal Fuzzy Number; Research | |
dc.title | Selection of Carpenter Manufacturer using Fuzzy EDAS Method | |
dc.type | Article |
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