Why triangular membership functions?
Fuzzy Sets and Systems
Artificial Intelligence
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Classification Using Belief Functions: Relationship Between Case-Based and Model-Based Approaches
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Review: A state-of the-art survey of TOPSIS applications
Expert Systems with Applications: An International Journal
A hybrid fuzzy group decision support framework for advanced-technology prioritization at NASA
Expert Systems with Applications: An International Journal
Estimation of performance indices for the planning of sustainable transportation systems
Advances in Fuzzy Systems - Special issue on Fuzzy Logic Applications in Control Theory and Systems Biology
Estimation of performance indices for the planning of sustainable transportation systems
Advances in Fuzzy Systems - Special issue on Fuzzy Logic Applications in Control Theory and Systems Biology
Hi-index | 12.05 |
Sustainable transportation systems are the need of modern times. There has been an unexpected growth in the number of transportation activities over years and the trend is expected to continue in the coming years. This has obviously associated environmental costs like air pollution, noise, etc. which is degrading the quality of life in modern cities. To cope us this crisis, municipal administrations are investing in sustainable transportation systems that are not only efficient, robust and economical but also friendly towards environment. The challenge before the transportation decision makers is how to evaluate and select such sustainable transportation systems. In this paper, we present a multicriteria decision making approach for selecting sustainability transportation systems under partial or incomplete information (uncertainty). The proposed approach comprises of three steps. In step 1, we identify the criteria for sustainability assessment of transportation. In step 2, experts provide linguistic ratings to the potential alternatives against the selected criteria. Fuzzy TOPSIS is used to generate aggregate scores for sustainability assessment and selection of best alternative. In step 3, sensitivity analysis is performed to determine the influence of criteria weights on the decision making process. A numerical illustration is provided to demonstrate the applicability of the approach. The strength of the proposed work is its practical applicability and the ability to generate good quality solutions under uncertainty.