Titlebook: Rough Sets and Intelligent Systems - Professor Zdzis?aw Pawlak in Memoriam; Volume 2 Andrzej Skowron,Zbigniew Suraj Book 2013 Springer-Verl

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Obliterate

Uncertainty Problem Processing with Covering Generalized Rough Sets, the application of covering generalized rough set theory is discussed rarely. In this chapter, two typical uncertainty problems, incomplete information processing, and fuzzy decision making, are discussed from the view of covering generalized rough set theory.

penance

Bravura

cardiopulmonary

The Impact Rules of Recommendation Sources for Adoption Intention of Micro-blog Based on DRSA with s and potential users. The analysis is grounded in the taxonomy of induction-related activities using a DRSA with flow network graph to infer the usage of micro-blogs decision rules. Finally, the study of the nature of micro-blog reflects essential practical and academic value in real world.

TOM

懸崖

MEAN

Comparison of Greedy Algorithms for Decision Tree Optimization,nterminal nodes of constructed trees with minimum values of the considered parameters obtained based on a dynamic programming approach. We report experiments performed on data sets from UCI ML Repository and randomly generated binary decision tables. As a result, for depth, average depth, and number of nodes we propose a number of good heuristics.

FLAX

Comparison of Greedy Algorithms for Decision Tree Optimization,struction of optimal decision trees. Optimization is performed relative to minimal values of average depth, depth, number of nodes, number of terminal nodes, and number of nonterminal nodes of decision trees. We compare average depth, depth, number of nodes, number of terminal nodes and number of no

GOUGE

A Review of the Knowledge Granulation Methods: Discrete vs. Continuous Algorithms,d with the Rough Set Theory, which was proposed by Professor Zdzis?aw Pawlak in 1982. Granular rough computing is a paradigm in which one deals with granules that are aggregates of objects connected together by some form of similarity. In the rough set theory granules are traditionally defined as in