Intension Weight Value Acquisition of Weighted Concept Lattice Based on Information Entropy and Deviance

To effectively reflect the objective information hidden in the data and sensitively extract important deviant knowledge concerned with the user,this paper presents a method of intension value acquisition of weighted concept lattice based on entropy and deviance analysis.On occasion of the absence of prior knowledge,the single attribute intent weight value is decided by the entropy of attribute characteristic in data set.The multiple attribute intent weight value is computed by mean value and the intent importance deviance value among the multiple attribute is computed by the standard deviation.With the given intent important threshold and intent important deviance threshold,that are decided by user,a strong weighted concept lattice is proposed.In the end,an example shows that the presented method is feasible and effective for decision making and it further expands the theory and application of concept lattice.