Fuzzy multiple criteria decision making: recent developments
Fuzzy Sets and Systems - Special issue on fuzzy multiple criteria decision making
A fuzzy approach to select the location of the distribution center
Fuzzy Sets and Systems
Facility location selection using fuzzy topsis under group decisions
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Fuzzy group decision-making for facility location selection
Information Sciences—Informatics and Computer Science: An International Journal
Multi-criteria Group Decision Making Using A Modified Fuzzy TOPSIS Procedure
CIMCA '05 Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce Vol-2 (CIMCA-IAWTIC'06) - Volume 02
Generalizing TOPSIS for fuzzy multiple-criteria group decision-making
Computers & Mathematics with Applications
Fuzzy facility location problem with preference of candidate sites
Fuzzy Sets and Systems
Logistics distribution centers location problem and algorithm under fuzzy environment
Journal of Computational and Applied Mathematics
Information Sciences: an International Journal
Expert Systems with Applications: 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 | 0.98 |
Location planning for urban distribution centers is vital in saving distribution costs and minimizing traffic congestion arising from goods movement in urban areas. In this paper, we present a multi-criteria decision making approach for location planning for urban distribution centers under uncertainty. The proposed approach involves identification of potential locations, selection of evaluation criteria, use of fuzzy theory to quantify criteria values under uncertainty and application of fuzzy TOPSIS to evaluate and select the best location for implementing an urban distribution center. Sensitivity analysis is performed to determine the influence of criteria weights on location planning decisions for urban distribution centers. The strength of the proposed work is the ability to deal with uncertainty arising due to a lack of real data in location planning for new urban distribution centers. The proposed approach can be practically applied by logistics operators in deciding on the location of new distribution centers considering the sustainable freight regulations proposed by municipal administrations. A numerical application is provided to illustrate the approach.