Abstract
Determination of Inter Criteria Analysis (ICA) dependence very often uses large amounts of data. In this paper, the large amount of data is reduced using the Self Organizing Map Neural Networks to use only the cluster representative vector. The data used are intuitionistic fuzzy estimations of quality of life. To obtain the data, a population study on health-related quality of life is used.
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Acknowledgments
The authors are grateful for the support provided by the project DN-02-10/2016 “New Instruments for Knowledge Discovery from Data, and their Modelling”, funded by the National Science Fund, Bulgarian Ministry of Education, Youth and Science.
The authors declare that there is no conflict of interest regarding the publication of this paper.
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Sotirov, S., Vankova, D., Vasilev, V., Sotirova, E. (2019). Clustering of Intercriteria Analysis Data Using a Health-Related Quality of Life Data. In: Cuzzocrea, A., Greco, S., Larsen, H., Saccà, D., Andreasen, T., Christiansen, H. (eds) Flexible Query Answering Systems. FQAS 2019. Lecture Notes in Computer Science(), vol 11529. Springer, Cham. https://doi.org/10.1007/978-3-030-27629-4_23
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