An improved ELECTRE-III for recommending new energy vehicles with heterogeneous decision-making information
by Fanyong Meng; Yuqing Ding
International Journal of Modelling, Identification and Control (IJMIC), Vol. 34, No. 4, 2020

Abstract: New energy vehicle (NEV) is the development direction of automobile industry supported by the Chinese government. Different brands of NEVs have different performance, and it is not an easy thing to select the suitable NEVs. This paper first analyses the evaluation factors and establishes the index system. Then, a method for heterogeneous information transformation is introduced, and a method for determining the criteria weights based on linguistic variables is provided. After that, an improved ELECTRE-III method for recommending NEVs is proposed which can address the situations where there are heterogeneous decision-making information and unknown weighting information. To illustrate the practicality of the new method, a case study is provided. Meanwhile, comparison analysis with two existing methods is made.

Online publication date: Thu, 07-Jan-2021

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