Combinative distance based assessment (CODAS) framework using logarithmic normalization for multi-criteria decision making

IF 0.8 Q4 MANAGEMENT Serbian Journal of Management Pub Date : 2021-01-01 DOI:10.5937/sjm16-27758
S. Biswas, D. Pamučar
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引用次数: 9

Abstract

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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基于对数归一化的多准则决策组合距离评估(CODAS)框架
本文的目的是利用对数归一化(LN)方案提出一个扩展的基于组合距离的评估(CODAS)框架。LN在标准值差别很大的情况下很有用。该框架用于对印度流行的智能手机进行基于比较性能的排名。该扩展版本的CODAS方法(CODAS- ln)的结果与其他一些已建立的多准则决策方法(MCDM)的结果一致。灵敏度分析表明结果具有相当的稳定性。进一步观察到,CODAS-LN不存在秩反转现象,并遵循传递性。案例研究的结果表明,具有更高计算能力和功能的智能手机排名靠前。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.40
自引率
14.30%
发文量
18
审稿时长
12 weeks
期刊介绍: Technical Faculty in Bor, University of Belgrade has started publishing the journal called Serbian Journal of Management during the year 2006. This journal is an international medium for the publication of work on the theory and practice of management science.
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