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  • 标题:Decision Making Support for Selecting Structure of Generating Capacities at Development of Local Power Supply Systems
  • 本地全文:下载
  • 作者:Alexander Nefedov ; Vladislav Shakirov
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2019
  • 卷号:114
  • 页码:1-7
  • DOI:10.1051/e3sconf/201911401003
  • 出版社:EDP Sciences
  • 摘要:This paper considers the problem of multi-criteria option selection for the purpose of developing generating capacities for local power supply systems. The authors suggest a 2-stage method of multi-criteria analysis. At the 1st stage one conducts a multi-criteria selection of the most prospective power generation technology. At the 2nd stage one conducts a multi-criteria assessment of options for power station capacity ratio on the basis of the selected efficient technology of power generation. At the first stage the authors suggest a modified method of hierarchy analysis allowing for the decrease in the number of requests to a decision-maker (DM). At the second stage the authors use the modified method TOPSIS with the application of value functions for calculating non-linear change of the DM preferences in relation to the assessment of options by the criteria.
  • 其他摘要:This paper considers the problem of multi-criteria option selection for the purpose of developing generating capacities for local power supply systems. The authors suggest a 2-stage method of multi-criteria analysis. At the 1st stage one conducts a multi-criteria selection of the most prospective power generation technology. At the 2nd stage one conducts a multi-criteria assessment of options for power station capacity ratio on the basis of the selected efficient technology of power generation. At the first stage the authors suggest a modified method of hierarchy analysis allowing for the decrease in the number of requests to a decision-maker (DM). At the second stage the authors use the modified method TOPSIS with the application of value functions for calculating non-linear change of the DM preferences in relation to the assessment of options by the criteria.
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