Abstract
Assessment of scientific achievements of scientists is difficult because the science is divided into scientific domains and disciplines. The classification is not a partition, so very often disciplines are related to a few scientific domains. The paper presents the method of calculating scientists’ contributions to science, which are based on the number of articles published in journals connected to disciplines which are, in turn, related to scientific domains. The application of fuzzy relations and their composition simplifies the problem of describing these connections. The idea of the scientific contribution unit and the usage of the optimistic fuzzy aggregation norm allows calculating the scientific contribution of each scientist. Since levels of scientific contributions belong to the interval [0,1], there is a possibility to prepare rankings of scientists. The example of the application of this method is supported by the result of the estimation of scientific achievement by the real scientist.
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Sokolov, O., Osińska, W., Mreła, A., Duch, W. (2019). Modeling of Scientific Publications Disciplinary Collocation Based on Optimistic Fuzzy Aggregation Norms. In: Świątek, J., Borzemski, L., Wilimowska, Z. (eds) Information Systems Architecture and Technology: Proceedings of 39th International Conference on Information Systems Architecture and Technology – ISAT 2018. ISAT 2018. Advances in Intelligent Systems and Computing, vol 853. Springer, Cham. https://doi.org/10.1007/978-3-319-99996-8_14
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DOI: https://doi.org/10.1007/978-3-319-99996-8_14
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