Clustering of Intercriteria Analysis Data Using a Health-Related Quality of Life Data

Sotir Sotirov; Desislava Vankova; Valentin Vasilev; Evdokia Sotirova

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Clustering of Intercriteria Analysis Data Using a Health-Related Quality of Life Data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2019) 11529 LNAI 242-249

DOI: 10.1007/978-3-030-27629-4_23

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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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Sotirov, S., Vankova, D., Vasilev, V., & Sotirova, E. (2019). Clustering of Intercriteria Analysis Data Using a Health-Related Quality of Life Data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11529 LNAI, pp. 242–249). Springer Verlag. https://doi.org/10.1007/978-3-030-27629-4_23

Clustering of Intercriteria Analysis Data Using a Health-Related Quality of Life Data

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