Titlebook: Data Mining, Rough Sets and Granular Computing; Tsau Young Lin,Yiyu Y. Yao,Lotfi A. Zadeh Book 2002 Springer-Verlag Berlin Heidelberg 2002

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Observability and the Case of Probabilitylating the universes of discourse: the world as it is perceived. The aim of this paper is to review and clarify various mathematical aspects related to observability problems within a classical boolean structure or a fuzzy context. In doing so, it is shown how ideas arising in Fuzzy Sets theory can

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Granulation and Granularity via Conceptual Structures: A Perspective From the Point of View of Fuzzy structures called fuzzy concept lattices which is a natural formalization of the Port-Royal approach to concepts. Fuzzy concepts, i.e. the induced fuzzy granules, obey a complete hierarchy w.r.t. subconcept-superconcept relation. Attention is paid to similarity relations (similarity of objects, con

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Granular Computing with Closeness and Negligibility Relationsper proposes a symbolic approach for handling orders of magnitude in terms of a closeness relation and an associated negligibility relation. At the semantic level, these relations are represented by means of fuzzy sets and are parametered. A reduced set of rules, where the parameters are formally co

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Data Mining, Rough Sets and Granular Computing978-3-7908-1791-1Series ISSN 1434-9922 Series E-ISSN 1860-0808

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Jeffrey Shuhaiber,Jonathan Silversteinof four linked methodologies: granular computing, computing with words, the computational theory of perceptions and precisiated natural language. What follows is a view of the links between the underlying structures of these methodologies — a view which is presented from a personal perspective.

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