Assignment model with multi-objective linear programming for allocating choice ranking using recurrent neural network

نویسندگان

چکیده

Classic linear assignment method is a multi-criteria decision-making approach in which criteria are weighted and each rank assigned to choice. In this study, abandon the requirement of calculating weight use decision attributes prioritizing also be able assign more than one choice, multi-objective programming (MOLP) suggested. The objective function MOLP defined for attribute solved based on absolute priority comprehensive methods. For solving problems we apply recurrent neural network (RNN). Indeed, Lyapunov stability proposed model proved. Results comparing with TOPSIS, VICOR, MORA methods most common schemes show that compatible these

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ژورنال

عنوان ژورنال: Rairo-operations Research

سال: 2021

ISSN: ['1290-3868', '0399-0559']

DOI: https://doi.org/10.1051/ro/2021151