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  • 标题:MCA Based Performance Evaluation of Project Selection
  • 本地全文:下载
  • 作者:Tuli Bakshi ; Bijan Sarkar
  • 期刊名称:International Journal of Software Engineering & Applications (IJSEA)
  • 印刷版ISSN:0976-2221
  • 电子版ISSN:0975-9018
  • 出版年度:2011
  • 卷号:2
  • 期号:2
  • 页码:14
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:Multi-criteria decision support systems are used in various fields of human activities. In every alternativemulti-criteria decision making problem can be represented by a set of properties or constraints. Theproperties can be qualitative & quantitative. For measurement of these properties, there are differentunit, as well as there are different optimization techniques. Depending upon the desired goal, thenormalization aims for obtaining reference scales of values of these properties. This paper deals with anew additive ratio assessment method. In order to make the appropriate decision and to make a propercomparison among the available alternatives Analytic Hierarchy Process (AHP) and ARAS have beenused. The uses of AHP is for analysis the structure of the project selection problem and to assign theweights of the properties and the ARAS method is used to obtain the final ranking and select the best oneamong the projects. To illustrate the above mention methods survey data on the expansion of optical fibrefor a telecommunication sector is used. The decision maker can also used different weight combination inthe decision making process according to the demand of the system.
  • 关键词:Multi-criteria decision support system; AHP; ARAS & Project selection
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