Abstract
We have been proposing a framework Rough Non − deterministic Information Analysis (RNIA), which handles rough set-based concepts in not only Deterministic Information Systems (DISs) but also Non − deterministic Information Systems (NISs). We have recently suggested a new visual notation named Division Chart over an equivalence class defined by descriptors. In this paper, we extend it further towards a Division Chart Table (DCT). DCTs are useful for modeling rough set and granular computing concepts, in particular consistency-based foundations of rule generation and data dependency. They also provide more comprehensive interpretation of the contents of NISs than methods proposed with this respect in the previous research related to RNIA.
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Sakai, H., Okuma, H., Wu, M., Nakata, M. (2012). A Descriptor-Based Division Chart Table in Rough Non-deterministic Information Analysis. In: Watada, J., Watanabe, T., Phillips-Wren, G., Howlett, R., Jain, L. (eds) Intelligent Decision Technologies. Smart Innovation, Systems and Technologies, vol 15. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29977-3_3
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DOI: https://doi.org/10.1007/978-3-642-29977-3_3
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