Abstract
Multi-criteria decision analysis (MCDA) methods are widely used in various fields and disciplines. A large number of studies have been focused on the development of new methods and the selection of the most appropriate decision making for a particular task. The purpose of this study is to analyze the existing approaches to selecting MCDA methods, to determine the most appropriate method for solving multi-criteria problems and to provide guidelines how to choose MCDA methods. The paper investigates the existing ways to select a MCDA method. We described the qualitative selection criteria and conducted experiments to determine the most appropriate method using various quantitative indicators. The result of the study is a set of recommendations for selecting a MCDA method.
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Gorodilov, N., Dolzhenkova, M., Chistyakov, G. (2021). Selecting a Multi-criteria Decision Analysis Method. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Data Science and Intelligent Systems. CoMeSySo 2021. Lecture Notes in Networks and Systems, vol 231. Springer, Cham. https://doi.org/10.1007/978-3-030-90321-3_17
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