[PDF] Top 20 Rough Spaces on Covering Based Rough Sets

... elementary sets (classes), He used the elements of ...the covering based rough set of ...a covering called an approximation ...the covering based rough sets, ... See full document

... Systems. Rough-set theory enhances databases by allowing it for the management of ...introduce rough relational databases. Rough Relational Databases (RRDB) are those databases that can have ... See full document

... and covering-based rough set theory is an efficient tool to process this type of ...generalized rough sets. This paper presents the lattice based on covering rough ... See full document

... the rough set model have strong complementarity to each other as mathematical tools to describing and handling uncertain ...knowledge. Rough set theory is mainly used for knowledge discovery and ... See full document

... translate covering into ...the covering family is proposed considering that there may be multiple covering of data in real ...single covering into partition is extended to the approximate ... See full document

... Abstract. Breast cancer normally occurs in women and most of it begin in the ducts that carry milk to the nipple. It is the second leading cause of cancer death in women. It causes abnormal cell growth in the breast and ... See full document

... of covering-based rough set is ...of covering-based rough set equals the other ten sets proposed by other scholars is evaluated and ... See full document

... of rough functions and the possibility of transfer it from the real line to the topological abstract view that can be applied to intelligent information ...The rough function approach has not been studied ... See full document

... We define a new zoom-in operator and consider the combinations of Zoom-in and Zoom-out operators [12]. It is proved that the combination of Zoom-in operator with Zoom-out operator (resp., Zoom-out operator with Zoom-in ... See full document

... of covering-based rough set is ...of covering-based rough set equals the other ten sets proposed by other scholars is evaluated and ... See full document

... of rough set theory [3, ...of rough sets induced by an equivalence relation can be seen in Kondo & Dudek ...the covering based rough sets from a topological point of ... See full document

... generalized rough sets in approximation spaces based on portions of successor classes induced by arbitrary binary relations between two ...universes. Based on this definition, some ... See full document

... Probabilistic rough set model is probabilistic generalization of rough set ...probabilistic rough set model, probabilistic rough approximations are dependent on ... See full document

... elementary sets obtained through Rough sets ...Elementary sets formed using the set of conditional features help to identify the weight class where there should be inconsistent ... See full document

... Soft set theory has potential applications in many different fields which include the smoothness of functions, game theory, operations research, Riemann integration, Peron integration, probability theory, and measurement ... See full document

... The solution to deal with continuous valued attributes is to partition numeric variables into a number of intervals and treat each such interval as a category. This process of partitioning continuous variables is usually ... See full document

... directed rough graph D  ( , ) V A , supposed arc set A of directed rough graph can be classified as arc equivalence class { , A A 1 2 , , }  A n ... See full document

... RRTAR is compared with other rough set attribute reduction methods i.e. Tabu Search (TSAR) by Hedar et al. [10], Ant Colony Optimization (AntRSAR) by Jensen and Shen [2, 9], Genetic Algorithm (GenRSAR) by Jensen ... See full document

... fuzzy sets, ANN, RST is also gives the reasonable results, so it is also considerable ...the rough set theory application are drug research, fault diagnosis in machines, bioinformatics, medical data ... See full document

... Nano-Technology In Gene Therapy: Gene therapy is a more up to date methodology of approach for treatment of numerous genetic disorders including diabetes mellitus, cystic fibrosis, and alpha 1 antitrypsin inadequacy. ... See full document