Transportation fuels and policy for Singapore: an AHP planning approach
Computers and Industrial Engineering
Inter-company comparison using modified TOPSIS with objective weights
Computers and Operations Research
A fuzzy approach to select the location of the distribution center
Fuzzy Sets and Systems
Fuzzy group decision-making for facility location selection
Information Sciences—Informatics and Computer Science: An International Journal
The use of grey relational analysis in solving multiple attribute decision-making problems
Computers and Industrial Engineering
Multi-criteria logistics distribution network design using SAS/OR
Expert Systems with Applications: An International Journal
An extension of TOPSIS for group decision making
Mathematical and Computer Modelling: An International Journal
Comparison of weights in TOPSIS models
Mathematical and Computer Modelling: An International Journal
Review: A state-of the-art survey of TOPSIS applications
Expert Systems with Applications: An International Journal
An information delivery model for banking business
International Journal of Information Management: The Journal for Information Professionals
Hi-index | 12.05 |
For the solution of decision making problems with multi criteria, the literature presents many methodologies under the title of decision theory. In this context, AHP, TOPSIS, ELECTRE and Grey Theory are well-known and the most acceptable methodologies. Firstly, in this study; these methodologies are compared in terms of main characteristic of decision theory and thus advantages and disadvantages of these methodologies are offered. Later, the application of these methodologies on the warehouse selection problem, which is one of the main topics of logistics management that has a wide range of applications with multi-criteria decision making methodologies, is presented as a case study which is characterized in retail sector, that maintains high uncertainity and product variety and then how to choose the best warehouse location among many alternatives has been shown.