[PDF] Top 20 Concept Lattice: A rough set approach

... power set of A and B respectively. (X, Y) is called a concept, if α(X) = Y and β(Y) = X hold for X and Y, where X is called the extent of the concept and Y is called the intent of the ...the ... See full document

... of Rough Set can be used to find dependence relationship among data, evaluate the importance of attributes, discover the patterns of data, learn common decision-making rules, reduce all redundant objects ... See full document

... residual set of attributes after feature selection is termed as ...minimal set of ...the set of all reducts by considering only the common ...of rough set method useful for deriving a ... See full document

... the Rough Set Attribute Reduction method (RSAR), exposed in Section ...complete set of attributes, then it is a poss- ible solution, ...the concept of relative dependency, presented in Section ... See full document

... novel rough- set-based multivariate decision trees (RSMDT) ...in rough set theory is used for selecting attributes in multivariate ...new concept of extended generalization of one ... See full document

... of rough set theory to the data analysis field is that it can remove superfluous ...central concept in rough set ...a set of attributes that preserves ...whole set of ... See full document

... databases. Rough Set Theory (RST) is a mathematical formalism for representing uncertainty that can be considered an extension of the classical set ...important concept related to RST is that ... See full document

... The rough set theory and fuzzy set theory are extensions of classical set theory, and they are related but distinct and complementary ...The rough set theory[1,2] is mainly ... See full document

... of rough set theory concept we reduced the number of attributes (advertisement category) which will be helpful for the business house to start the business taking care of minimum numbers of ... See full document

... attribute set in both consistent and inconsistent decision ...classical rough set theory only makes a quantitative description for positive region cardinality, while attribute significance based on ... See full document

... fuzzy set, formal concept analysis and rough set theories, probabilistic computing, as well as neural network and system, are paving a road to more valuable and feasible solutions to the ... See full document

... on rough set theory is that it lacks parametrization ...in rough sets, a major step is taken by Feng et ...the concept of soft rough sets, where instead of equivalence classes ... See full document

... The concept of rough sets was introduced by Pawlak [77], as an extension of set theory in early ...an approach to approximate concepts under ...of rough sets to be complementary to ... See full document

... between rough set theory and concept lattice is pointed out, but in practice how to realize the operation of rough set by using concept lattice is still left as a ... See full document

... 1982). Rough pure mathematics is comparable to Fuzzy pure mathematics, but the unsure and inexactness during this approach is expressed by a boundary region of a collection, and not by a partial membership ... See full document

... though rough set is a powerful tool to solve imprecise problems occur in engineering environmental sciences, physics and so many fields, it is unigranular that is we work on single equivalence relation with ... See full document

... decision-theoretic rough set in an incomplete interval-valued information ...decision-theoretic rough set based on Sigmoid ...decision-theoretic rough set at present all can be ... See full document

... between rough set and covering based ...of rough set, attribute values are known but there are not enough attributes (or attribute domains are too coarse) to identify a single object by their ... See full document

... the concept rough neutrosophic set to deal indeterminacy in more flexible ...of rough neutrosophic sets in decision ...neutrosophic set and showed numerical example for multi-criteria ... See full document

... unreliable approach for acquiring learning style characteristics and may not be accurate ...This approach can be implemented successfully since the style of student’s interaction with the system can be ... See full document