TANKER SELECTION BASED ON AN ENTROPY-WEIGHTED FUZZY MATTER APPROACH

  • Haoqiang Li
  • , Jihong Chen
  • , Zheng Wan
  • , Xiao Cao
  • , Yaqing Shu
  • , Yun Bai

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)A17-A28
JournalTransactions of the Royal Institution of Naval Architects Part A: International Journal of Maritime Engineering
Volume163
Issue numberA1
DOIs
StatePublished - Jan 2021
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Environmental Engineering
  • Ocean Engineering

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