Intelligent decision support for effectively evaluating and selecting ships under uncertainty in marine transportation

Authors:
Santoso Wibowo;Hepu Deng
Affiliations:
School of Business IT and Logistics, RMIT University, GPO Box 2476V, Melbourne, Victoria 3001, Australia;School of Business IT and Logistics, RMIT University, GPO Box 2476V, Melbourne, Victoria 3001, Australia
Venue:
Expert Systems with Applications: An International Journal
Year:
2012

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Abstract

This paper presents an intelligent decision support system for evaluating and selecting specific ships under uncertainty. A task-oriented procedure is developed for determining the relative importance of the evaluation and selection criteria with respect to a specific shipping task. A fuzzy multicriteria analysis algorithm is developed for determining the overall performance of each ship across all the selection criteria and their associated sub-criteria. An intelligent decision support system capable of integrating the developments above is proposed for facilitating the ship evaluation and selection process. An example is presented to demonstrate the effectiveness of the proposed intelligent decision support system.