Network reconfiguration scheme evaluation based on uncertain multiple attribute decision-making

Multimodal transportation is a complex network, in which all the components should be seamlessly linked and efficiently coordinated. Considered many noncommensurable, nonlinear even conflicting criteria simultaneously, the transport mode selection in multimodal transportation is studied within the framework of multicriteria decision making (MCDM). The theoretical basis for feedforward artificial neural network (FANN) to solve this MCDM problem is presented. With the initial topology predetermined by fuzzy analysis hierarchy process (AHP), an adaptive ANN system is proposed, in which the number of ANN input nodes adapts the decision makers' preference threshold and the initial input weights are determined by fuzzy AHP. Empirical results evidently show this MCDM method is an accurate, flexible and efficient transport mode selection model. FANN and MCDM [5]Fourth International Conference on Natural Computation 978-0-7695-3304-9/08 $25.00

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Network reconfiguration scheme evaluation based on uncertain multiple attribute decision-making

Cited by 2 publications

References 9 publications

An Interactive Integrated MCDM Based on FANN and Application in the Selection of Logistic Center Location

An Interactive Integrated MCDM Based on FANN and Application in the Selection of Logistic Center Location

A Transport Mode Selection Method for Multimodal Transportation Based on an Adaptive ANN System

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