Titlebook: Rough Set Theory and Granular Computing; Masahiro Inuiguchi,Shoji Hirano,Shusaku Tsumoto Book 2003 Springer-Verlag Berlin Heidelberg 2003

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A Remark on Granular Reasoning and Filtrationon granularity in this paper. The method, however, originates in purely logical problems like decidability. For the purpose in this paper, an extended concept of relative filtration is newly introduced using lower and upper approximations in rough set theory. An example of reasoning processes using

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Mining High Order Decision Rules high order decision rule expresses connections of . objects in terms of their attribute values. An example of high order decision rules may state that “if an object . is related to another object . with respect to an attribute a, then . is related to . with respect to another attribute ..” The prob

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Association Rules with Additional Semantics Modeled by Binary Relationsare called binary semantic association rules. By experiments we find that semantic computation is necessary, efficient and fruitful. It is necessary, because we find the supports of length 2 candidate is quite high in randomly generated data. It is efficient, because the checking of semantics constr

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A Knowledge-Oriented Clustering Method Based on Indiscernibility Degree of Objects uses a new measure called indiscernibility degree. Indiscernibility degree of two objects corresponds to the ratio of equivalence relations that commonly regard the two objects as indiscernible ones. If an equivalence relation has ability to discern the two objects that have high indiscernibility d

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1434-9922 h set theory and its applications a look on its present state and further prospects is badly needed. The monograph Rough Set Theory and Granular Computing edited by Masahiro Inuiguchi, Shoji Hirano and Shusaku Tsumoto meets this demand. It presents the newest developments in this area and gives fair