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Title: Green port performance evaluation under uncertainty: a multiple attribute group decision analysis

Authors: Dan Zhao; Tiantian Bao; Kevin Cullinane; Yuhong Wang

Addresses: Faculty of Maritime and Transportation, Ningbo University, Ningbo, 315211, China ' Faculty of Maritime and Transportation, Ningbo University, Ningbo, 315211, China ' School of Business, Economics and Law, University of Gothenburg, Gothenburg, Sweden ' Faculty of Maritime and Transportation, Ningbo University, Ningbo, 315211, China

Abstract: This paper aims to assess the performance of a port within the context of its supply chain on the basis of integrating a five-dimensional balanced scorecard with green performance criteria. A multiple attribute group decision-making (MAGDM) approach is proposed which encompasses both intuitionistic fuzzy set theory and evidence theory in order to properly represent and aggregate the uncertain information which prevails within any process of such an evaluation. With an empirical application, the evaluation results provide effectively not only the ranking order of all alternative port enterprises, but also the strengths and weaknesses of each one, at the detailed level of individual performance attributes.

Keywords: MAGDM; green port; supply chain management; performance evaluation; intuitionistic fuzzy set; IFS; evidence theory.

DOI: 10.1504/IJSTL.2021.112918

International Journal of Shipping and Transport Logistics, 2021 Vol.13 No.1/2, pp.130 - 155

Received: 22 Jan 2019
Accepted: 17 Jul 2019
Published online: 09 Feb 2021 *