Approximate TOPSIS for vessel selection under uncertain environment

Authors:
Z. L. Yang;S. Bonsall;J. Wang
Affiliations:
School of Engineering, Liverpool John Moores University, Liverpool L3 3AF, UK;School of Engineering, Liverpool John Moores University, Liverpool L3 3AF, UK;School of Engineering, Liverpool John Moores University, Liverpool L3 3AF, UK
Venue:
Expert Systems with Applications: An International Journal
Year:
2011

Citing 12
Cited 2

Extensions of the TOPSIS for group decision-making under fuzzy environment

Fuzzy Sets and Systems
Inter-company comparison using modified TOPSIS with objective weights

Computers and Operations Research
Generalizing TOPSIS for fuzzy multiple-criteria group decision-making

Computers & Mathematics with Applications
A method for multiple attribute decision making with incomplete weight information in linguistic setting

Knowledge-Based Systems
Applying FMCDM to evaluate financial performance of domestic airlines in Taiwan

Expert Systems with Applications: An International Journal
Evaluation of software development projects using a fuzzy multi-criteria decision approach

Mathematics and Computers in Simulation
Use of hybrid multiple uncertain attribute decision making techniques in safety management

Expert Systems with Applications: An International Journal
Group decision making with incomplete fuzzy linguistic preference relations

International Journal of Intelligent Systems
Managing the consensus in group decision making in an unbalanced fuzzy linguistic context with incomplete information

Knowledge-Based Systems
An Introduction to Management Science: Quantitative Approaches to Decision Making

An Introduction to Management Science: Quantitative Approaches to Decision Making
A Consensus Model for Group Decision Making With Incomplete Fuzzy Preference Relations

IEEE Transactions on Fuzzy Systems
Group decision-making based on concepts of ideal and anti-ideal points in a fuzzy environment

Mathematical and Computer Modelling: An International Journal

Application of MADM in a fuzzy environment for selecting the best barrier for offshore wells

Expert Systems with Applications: An International Journal
Review: A state-of the-art survey of TOPSIS applications

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	12.05

Visualization

Abstract

The selection of appropriate vessels to carry out shipping activities is crucial for many maritime stakeholders including charterers, shipowners, brokers, surveyors and safety engineers. The task is essentially a process of multiple criteria decision making (MCDM) under uncertainty requiring analysts to derive rational decisions from ambiguous and incomplete data contained in different quantitative and qualitative forms. Fuzzy Techniques for Order Preference by Similarity to an Ideal Solution (TOPSIS) have been well documented in the literature and commonly used in the process of group decision-making under fuzzy environment. While showing the attractiveness in dealing with ambiguous estimates, they have been criticised to be incapable of modelling incompleteness encountered in decision analysis. This paper therefore uses the concept of degrees of belief to develop a novel approximate interval TOPSIS approach for overcoming some of the drawbacks of classical fuzzy TOPSIS methods and facilitating the development of reliable vessel selection models under uncertain environment.