Picture of virus under microscope

Research under the microscope...

The Strathprints institutional repository is a digital archive of University of Strathclyde research outputs.

Strathprints serves world leading Open Access research by the University of Strathclyde, including research by the Strathclyde Institute of Pharmacy and Biomedical Sciences (SIPBS), where research centres such as the Industrial Biotechnology Innovation Centre (IBioIC), the Cancer Research UK Formulation Unit, SeaBioTech and the Centre for Biophotonics are based.

Explore SIPBS research

An integrated multi-objective optimisation and fuzzy multi-attributive group decision-making technique for subdivision arrangment of Ro-Ro vessels

Olcer, A.I. and Tuzcu, C. and Turan, O. (2005) An integrated multi-objective optimisation and fuzzy multi-attributive group decision-making technique for subdivision arrangment of Ro-Ro vessels. Applied Soft Computing, 6 (3). pp. 221-243. ISSN 1568-4946

Full text not available in this repository. (Request a copy from the Strathclyde author)

Abstract

This paper focuses on developing a new multiple criteria decision-making (MCDM) methodology for subdivision arrangement of Ro-Ro 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 Ro-Ro vessel is conducted to illustrate the effectiveness of the approach.