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- W142848858 abstract "The study is devoted to the paradigm of rule based computing involving granular information. By information granules we mean a general category of data embracing not only numeric entities (inputs) but any granules (such as intervals or fuzzy sets, in general) being regarded as inputs in the rule-based system. We investigate several categories of models of granularity propagation starting from those based on the use of the mechanisms of possibility and necessity theory, especially possibility and possibility-necessity mechanisms. We also consider the models relying on the use of auxiliary regression models. These models are constructed on the basis of some experimental granular data. A thorough comparative analysis of the introduced models is carried out as well." @default.
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- W142848858 date "2000-01-20" @default.
- W142848858 modified "2023-10-17" @default.
- W142848858 title "Representation and Propagation of Information Granules in Rule-based Computing" @default.
- W142848858 doi "https://doi.org/10.20965/jaciii.2000.p0102" @default.
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