Abstract
This paper is devoted to the discussion of the combinations of fuzzy set, rough set and soft set. Based on the analysis of the existing soft fuzzy rough approaches, the notions of similarity measures induced by soft set and soft fuzzy set are presented. Some new soft fuzzy rough set models are proposed by introducing confidence threshold values. The related lower and upper approximation operators are presented and their properties are surveyed.
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Qin, K., Song, Z., Xu, Y. (2012). Soft Rough Sets Based on Similarity Measures. In: Li, T., et al. Rough Sets and Knowledge Technology. RSKT 2012. Lecture Notes in Computer Science(), vol 7414. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31900-6_6
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DOI: https://doi.org/10.1007/978-3-642-31900-6_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31899-3
Online ISBN: 978-3-642-31900-6
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