Abstract
In this paper, from upper and lower directions the upper and lower possibility distributions are identified to approximate the given possibility grades, which is regarded as the expert’s knowledge. The upper possibility distribution reflects the optimistic viewpoint of the expert and the lower possibility distribution reflects pessimistic one. The similarities between dual possibility distributions and upper and lower approximations in rough sets theory are investigated. It is obvious that they have homogenous structures.
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© 2001 Springer-Verlag Berlin Heidelberg
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Guo, P., Tanaka, H. (2001). Identifying Upper and Lower Possibility Distributions with Rough Set Concept. In: Terano, T., Ohsawa, Y., Nishida, T., Namatame, A., Tsumoto, S., Washio, T. (eds) New Frontiers in Artificial Intelligence. JSAI 2001. Lecture Notes in Computer Science(), vol 2253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45548-5_30
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DOI: https://doi.org/10.1007/3-540-45548-5_30
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