Title: An improved ELECTRE-III for recommending new energy vehicles with heterogeneous decision-making information

Authors: Fanyong Meng; Yuqing Ding

Addresses: School of Business, Central South University, Changsha 410083, China ' School of Business, Central South University, Changsha 410083, China

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.

Keywords: MCDM; multi-criteria decision making; NEV; new energy vehicle; ELECTRE-III method; heterogeneous information.

DOI: 10.1504/IJMIC.2020.112298

International Journal of Modelling, Identification and Control, 2020 Vol.34 No.4, pp.328 - 341

Received: 31 Jan 2020
Accepted: 09 Apr 2020

Published online: 07 Jan 2021 *

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