Abstract
The paper describes the problem of decision making based on strings of heterogeneous, i.e. of various formal nature data . Such data strings are taken into consideration in relative assessment of objects or actions characterized by various quantitative and/or qualitative features. The problem is reduced to the problem of weak ordering of heterogeneous spaces and, in particular, it is considered as scalar-, interval-, confidence interval- and general heterogeneous data strings ordering. The solutions are given as maximal elements in weakly ordered sets of heterogeneous data strings . The proposed methods are illustrated by several examples. The similarity of the considered problem to the problem of human decision making based on intuition is shown.
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Acknowledgement
This work was supported by the Nalecz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, in Warsaw.
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Kulikowski, J.L. (2018). Computer Aid for Human Decision Making Based on Heterogeneous Strings of Data. In: Hippe, Z., Kulikowski, J., Mroczek, T. (eds) Human-Computer Systems Interaction. Advances in Intelligent Systems and Computing, vol 551. Springer, Cham. https://doi.org/10.1007/978-3-319-62120-3_10
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DOI: https://doi.org/10.1007/978-3-319-62120-3_10
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