An integrated multi-objective optimisation and fuzzy multi-attributive group decision-making technique for subdivision arrangement of RoRo vessels
This paper focuses on developing a new multiple criteria decision-making (MCDM) methodology for subdivision arrangement of RoRo vessels, which integrates the multi-objective optimisation with a fuzzy multi-attributive group decision-making (FMAGDM) technique. The study concentrates on the task of finding and then evaluating (or ranking) the finite number of pareto-optimal design alternatives (PODAs). A genetic algorithm based multi-objective optimisation technique, namely MOGA, is employed for optimisation purpose in terms of chosen design parameters such as damage stability, survivability, and cargo capacity. MOGA is the methodology where the solution space is searched for a set of PODAs, from which experts can express their opinions and choose the best PODA. The subjectiveness and imprecision of the ranking process is modelled as linear trapezoidal fuzzy numbers by means of linguistic terms. An attribute based aggregation technique for homogeneous and heterogeneous groups of experts is employed and used for dealing with the fuzzy opinion aggregation. Finally, a real case study on the subdivision arrangement of a RoRo vessel is conducted to illustrate the effectiveness of the approach.
multi-objective optimisation group decision-making pareto-optimal designs genetic algorithms aggregation fuzzy sets consensus