Use of Fuzzy Evidential Reasoning for Vessel Selection Under Uncertainty

Zaili Yang (), Lefteris Maistralis, Stephen Bonsall and Jin Wang
Additional contact information
Zaili Yang: Liverpool John Moores University
Lefteris Maistralis: ABS Maritime Services (Hellas) LLC
Stephen Bonsall: Liverpool John Moores University
Jin Wang: Liverpool John Moores University

Chapter Chapter 5 in Multi-Criteria Decision Making in Maritime Studies and Logistics, 2018, pp 105-121 from Springer

Abstract: Abstract The selection of appropriate vessels to carry out shipping activities is crucial for many maritime stakeholders including charterers, shipowners, brokers, surveyors and safety engineers. The task is essentially a process of multiple criterion decision making under uncertainty requiring analysts to derive rational decisions from uncertain and incomplete data contained in different quantitative and qualitative forms. The difficulty and complexity of such a task is obvious and thus stimulates the study of developing a novel decision making technique under uncertainty with multiple criteria. This chapter aims to use the new function of fuzzy Evidential Reasoning to improve the vessel selection process of dealing with multiple criteria with insufficient and ambiguous information. A numerical case study of selecting an oil tanker based on a voyage charter party is presented to demonstrate the proposed method.

Keywords: Vessel selection; MCDM; Evidential reasoning; Uncertainty modelling (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/978-3-319-62338-2_5

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