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Granular Computing as a paradigm in the area of Approximate Reasoning/Soft Computing, goes back to the idea of L. A. Zadeh (1979) of computing with collections of similar entities. Both fuzzy and rough set theories are immanently occupied with granules as atomic units of knowledge are inverse images of fuzzy membership functions in the first and indiscernibility classes in the other set theory. ...
In this work the subject of granular computing is pursued beyond the content of the previous paper [21]. We study here voting on a decision by granules of training objects, granules of decision rules, granules of granular reflections of training data, and granules of decision rules induced from granular reflections of training data. This approach can be perceived as a direct mapping of the training...
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