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Rough approximation based on weak q-RIFs

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2009) 5656 LNCS 117-135
DOI: 10.1007/978-3-642-03281-3_4
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Abstract

In this article we consider approximation spaces where instead of rough inclusion functions, the so-called weak quasi-rough inclusion functions (weak q-RIFs) are used to measure the degree of inclusion of a set in a set. Theoretical properties of rough approximation operators based on such inclusion measures are discussed. © 2009 Springer.

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Gomolińska, A. (2009). Rough approximation based on weak q-RIFs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5656 LNCS, pp. 117–135). https://doi.org/10.1007/978-3-642-03281-3_4

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