Titlebook: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing; 9th International Co Guoyin Wang,Qing Liu,Andrzej Skowron Conference proceedin

Accomplish

脊椎動(dòng)物

Ascendancy

Pre-topologies and Dynamic Spaces universe of data and . is an equivalence relation on .. Various authors suggested considering spaces of the form 〈.〉, where . is any relation. This paper aims at introducing a further step consisting in spaces of the form 〈., {.}.〉, where {.}.〉 is a family of relations on ., that we call “Dynamic S

解脫

Flow Graphs and Decision Algorithmss not have probabilistic meaning and is entirely deterministic. It describes simply information flow distribution in flow graphs. This property can be used to draw conclusions from data, without referring to its probabilistic structure.

DEFT

A Rough Set and Rule Tree Based Incremental Knowledge Acquisition Algorithmhe performance of knowledge learned by our algorithm can be the same as or even better than classical rough set based knowledge acquisition algorithms. Besides, the simulation results also show that our algorithm outperforms ID4 in many aspects.