Abstract
This paper is a continuation of our previous considerations on attribute selection while a data set is expressed via Atanassov’s intuitionistic fuzzy sets (IFSs). The main goal is the dimension reduction for sets of data represented as the IFSs. We propose a simple, yet powerful algorithm which makes use of the three term attribute description. Next, we provide an illustrative example using the real Income data set and analyze in detail the results obtained by a new algorithm. The results are compared with other results from the literature, and the results are promising.
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Szmidt, E., Kacprzyk, J., Bujnowski, P. (2021). Attribute Selection for Atanassov’s Intuitionistic Fuzzy Sets by the Three Term Attribute Description. In: Atanassov, K., et al. Uncertainty and Imprecision in Decision Making and Decision Support: New Challenges, Solutions and Perspectives. IWIFSGN 2018. Advances in Intelligent Systems and Computing, vol 1081. Springer, Cham. https://doi.org/10.1007/978-3-030-47024-1_10
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