Tanker Selection Based on an Entropy-Weighted Fuzzy Matter Approach

Article Sidebar

Requires Subscription or Fee PDF (GBP 29.99)
Published: Apr 7, 2021
DOI: https://doi.org/10.5750/ijme.v163iA1.2

Main Article Content

Haoqiang Li
College of Management, Shenzhen University, China; College of Transport and Communications, Shanghai Maritime University, China,
Jihong Chen
College of Management, Shenzhen University, China; College of Transport and Communications, Shanghai Maritime University, China; Commercial College, Xi’an International University, China; Qianhai Shengang Institute of International Finance, China; Shenzhen Research Center for China Blue Oceans, China
Zheng Wan
College of Transport and Communications, Shanghai Maritime University, China
Xiao Cao
College of Transport and Communications, Shanghai Maritime University, China
Yaqing Shu
School of Navigation, Wuhan University of Technology, China
Yun Bai
Center for Advanced Infrastructure and Transportation, Rutgers University

Abstract

As an important aspect of global economic development, the choice of ship type for offshore oil transportation is a key issue in shipping companies making investment decisions. These can have far-reaching impacts regarding economic benefits and operational developments by shipping companies. To facilitate relatively accurate scientific decisions to evaluate the economic nature of tankers on investment plans, the study assigns entropy weights to various indicators and models tanker type economic arguments based on the entropy-weighted fuzzy matter-element approach, and by calculating the Euclid approach degree of each tanker evaluates the choice of tanker ship type. The results from the study show that the entropy-weighted fuzzy matter-element method is very effective in dealing with tanker selection and decision-making under complex and multi-attribute scenarios. Several conclusions are drawn and further work suggested.

Article Details

Issue
Vol. 163 No. A1 (2021)
Section
Articles