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  • 标题:Combinative distance based assessment (CODAS) framework using logarithmic normalization for multi-criteria decision making
  • 本地全文:下载
  • 作者:Sanjib Biswas ; Sanjib Biswas ; Dragan Pamucar
  • 期刊名称:Serbian Journal of Management
  • 印刷版ISSN:1452-4864
  • 出版年度:2021
  • 卷号:16
  • 期号:2
  • 页码:321-340
  • DOI:10.5937/sjm16-27758
  • 语种:English
  • 出版社:University in Belgrade
  • 摘要:The purpose of this paper is to present an extended Combinative Distance based Assessment (CODAS) framework using logarithmic normalization (LN) scheme. LN is useful in the situations where criteria values differ significantly. This framework is used to carry out a comparative performance based ranking of the popular smartphones in India. The result obtained from this extended version of CODAS method (CODAS-LN) shows consistency with that generated by using some other established multi-criteria decision making (MCDM) approaches. The sensitivity analysis shows considerable stability in the result. Further, it is observed that CODAS-LN is free from rank reversal phenomenon and follows the transitivity property. Findings of the case study suggest that the smartphones with higher computational capability and features rank in top brackets.
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