Abstract
We discuss basic concepts for approximate reasoning about information changes. Any rule for reasoning about information changes specifies how changes of information granules from the rule premise influence changes of information granules from the rule conclusion. Changes in information granules can be measured, e.g., using expressions analogous to derivatives. We illustrate our approach by means of information maps and information granules defined in such maps.
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Skowron, A., Synak, P. (2003). Reasoning Based on Information Changes in Information Maps. In: Wang, G., Liu, Q., Yao, Y., Skowron, A. (eds) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. RSFDGrC 2003. Lecture Notes in Computer Science(), vol 2639. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-39205-X_29
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DOI: https://doi.org/10.1007/3-540-39205-X_29
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