Titlebook: Incomplete Information: Rough Set Analysis; Ewa Or?owska Book 1998 Springer-Verlag Berlin Heidelberg 1998 algorithms.artificial intelligen

下邊深陷

Rough Sets and Algebras of Relationstly characterised as certain type of Boolean algebra with operators. A representation theorem is given which says that every such an algebra is isomorphic with a similar algebra that is derived from an information system.

neurologist

燈絲

Applications of Dependence Spacesdiscernibility-type incomplete information. The algorithms are given for realisation of various relevant tasks. Among others, an algorithm for finding reducts of sets of attributes in an information system and an algorithm for reduction of a set of conditions in a decision table are presented.

沖擊力

Indiscernibility-Based Formalization of Dependencies in Information Systemsto typical kinds of constraints in information systems. Decidability of the validity problem with respect to these classes of models is discussed and some classes of formulas with the decidable validity problem are given.

綠州

extract

ethnology

Synthesis of Decision Rules for Object Classificationssification and for improving the performance of decision algorithms. We also present an exemplary system for recognizing handwritten digits based on Boolean reasoning, rough set methods and feature discovery by applying multi-modal logic.

VOC

adequate-intake

Introduction: What You Always Wanted to Know about Rough Setsalisms that provide the tools of this analysis is given. We discuss the aspects of incompleteness of information that can be handled in the presented formalisms. The formalisms are related to the methods and/or structures presented in this volume, in each case we point out a relevant link and we giv

CLAMP

Synthesis of Decision Rules for Object Classificationmatic feature extraction. The second is concerned with inductive reasoning for discovering an optimal feature set with respect to the precision of classification and for improving the performance of decision algorithms. We also present an exemplary system for recognizing handwritten digits based on