Abstract
The existing mathematical methods of processing economic information from the perspective of the theory of measures are critically considered. Fuzzy and fuzzy-probabilistic measures that allow for processing of non-numerical economic data and decision making under uncertainty are proposed. Motivation to use fuzzy methods in economy is discussed.
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Aliev, A.R., Mamedov, V.M., Gasimov, G.G. (2019). Analysis and Processing of Information in Economic Problems. Crisp and Fuzzy Technologies. In: Aliev, R., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Sadikoglu, F. (eds) 13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018. ICAFS 2018. Advances in Intelligent Systems and Computing, vol 896. Springer, Cham. https://doi.org/10.1007/978-3-030-04164-9_12
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DOI: https://doi.org/10.1007/978-3-030-04164-9_12
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