Abstract
The main aim of this article is to apply the selection of attributes method in a dispersed decision–making system, which was proposed by the author in a previous work. The selection of attributes method, that is used, is based on the rough sets theory. At first, reducts of sets of attributes for local knowledge bases are generated and then the attributes that do not occur in the reducts are removed from the local bases. In the study, the accuracy of classification for the system without the use of attributes selection was compared with the results obtained for the system with attributes selection. The experiments were performed using two data sets from the UCI Repository.
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Przybyła–Kasperek, M. (2018). Dispersed System with Dynamically Generated Non–disjoint Clusters – Application of Attribute Selection. In: Czarnowski, I., Howlett, R., Jain, L. (eds) Intelligent Decision Technologies 2017. IDT 2017. Smart Innovation, Systems and Technologies, vol 72. Springer, Cham. https://doi.org/10.1007/978-3-319-59421-7_12
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DOI: https://doi.org/10.1007/978-3-319-59421-7_12
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