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  • 标题:Selection of carpenter manufacturer using fuzzy EDAS method
  • 本地全文:下载
  • 作者:Željko Stević ; Marko Vasiljević ; Edmundas Kazimieras Zavadskas
  • 期刊名称:Information Technology And Control
  • 印刷版ISSN:2335-884X
  • 出版年度:2018
  • 卷号:29
  • 期号:3
  • 页码:281-290
  • DOI:10.5755/j01.ee.29.3.16818
  • 语种:English
  • 出版社:Kaunas University of Technology
  • 摘要:Making a decision in everyday life always comes with uncertainty and responsibility. To reduce the risk to a minumum and in order to make a right decision a person can use methods of multicriteria analysis in combination in 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. Aim of this study is to select the most suitable manufacturer of PVC carpentry for apartment refurbishing. A total pool of 14 quantitative and qualitative criteria is used as a base for selection of the most suitable of seven available manufacturers. For this case study we will use one of newer methods of multicriteria analysis of fuzzy Evaluation Based on Distance from Average Solution (fuzzy EDAS) method. Having reached the results, an analysis of sensitivity has been conducted showing stability of results where manufacturer number 4 represents an optimal solution in 13 experimental sets out of 14 total.
  • 其他摘要:Making a decision in everyday life always comes with uncertainty and responsibility. To reduce the risk to a minumum and in order to make a right decision a person can use methods of multicriteria analysis in combination in 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. Aim of this study is to select the most suitable manufacturer of PVC carpentry for apartment refurbishing. A total pool of 14 quantitative and qualitative criteria is used as a base for selection of the most suitable of seven available manufacturers. For this case study we will use one of newer methods of multicriteria analysis of fuzzy Evaluation Based on Distance from Average Solution (fuzzy EDAS) method. Having reached the results, an analysis of sensitivity has been conducted showing stability of results where manufacturer number 4 represents an optimal solution in 13 experimental sets out of 14 total. DOI: http://dx.doi.org/10.5755/j01.ee.29.3.16818
  • 关键词:Multi-criteria decision making;Fuzzy Evaluation based on Distance from Average Solution (Fuzzy EDAS);Manufacturer;Decision maker;Trapezoidal fuzzy number;research
  • 其他关键词:Multi-criteria decision making;Fuzzy Evaluation based on Distance from Average Solution (Fuzzy EDAS);Manufacturer;Decision maker;Trapezoidal fuzzy number;research
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