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

宣传

Shoji Hirano,Shusaku Tsumoto protection from high sound levels and static pressures. Adaptations in frogs and other tetrapods might well be analogous rather than homologous (Lombard and Bolt 1979), allowing one to examine critically assumptions about what is required of an ear. Indeed, many amphibians lack a tympanic ear altog

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gorgeous

Jerzy W. Grzymala-Busse,Rachel L. Freeman chorus noise. At present, knowledge of how anurans solve these communication problems is limited. This chapter describes the many interesting behavioral and physiological questions that remain unresolved. In particular, behavioral evaluations of detection, recognition, or localization have been mad

信任

Bayes’ Theorem — the Rough Set Perspectivesian reasoning, but reveals some probabilistic structure of the data being analyzed. This property can be used directly to draw conclusions from data..It is also worth mentioning the relationship between Bayes’ theorem and flow graphs.

aquatic

Soft Computing Pattern Recognition: Principles, Integrations and Data Miningbed through examples. Different integrations of these soft computing tools are illustrated. Evolutionary rough fuzzy network which is based on modular principle is explained, as an example of integrating all the four tools for efficient classification and rule generation, with its various characters

follicular-unit

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Two Directions toward Generalization of Rough Setsas approximations by means of elementary sets. It is shown that definitions, properties and definabilities are different by the interpretations of rough sets under a similarity relation. We apply those two kinds of rough sets to the extraction of if-then rules from an information table. We demonstra

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sperse

hardheaded

On Fractal Dimension in Information Systemscepts. We establish basic properties of this new dimension and we point to the way in which the notion of an exact (as well as a rough) set may be introduced in an information system with potentially infinite number of attributes.