A Subjective Multiple Criteria Decision-Making Approach for Modeling Ship Hull Vibration

Abstract

AbstractThis article presents a subjective, novel approach to deal with multiple criterion ship design decision making on the basis of interval data. In this novel approach, quantitative interval- and single-valued criteria are modeled and transformed into qualitative criteria by using membership functions of continuous fuzzy sets. Mapping is provided to transform criteria onto a common utility space. All the interval-valued qualitative criteria are transformed by proposing a new algorithm to represent them with a single value for each linguistic term. Normalization is carried out for all the transformed criteria. By combining all the normalized data, an evidential reasoning algorithm is applied to synthesize the generic ship design criteria. Finally, an ER-based utility ranking approach is used to select the ship with the best design criteria on the basis of the risk estimation results of ship hull vibration. The results of this research reveal that the developed approach is suitable for dealing with a ship selection problem based on the risk estimation results of ship hull vibration.