Research And Application Of Comprehensive Evaluation Method Of Rough Set

Rough set theory is a kind of data mining methods. In the paper we combined the rough set theory with the comprehensive evaluation methods. What the main works we have done are as follows:We have studied the methods which can get the property rights in the process of comprehensive evaluation based on the rough set theory from three aspects. In the aspect of objective weights. There are four methods which are the importance of information,the importance of knowledge granularity,the discernibility matrix and the attribute’s dependency to get the weights. In the aspect of comprehensive weights. Comprehensive weights were obtained from the combination which by experience factor of subjective weights by experts’ experience and objective weights;In the aspect of method weights. It used rough set and information entropy first to determine the weight of each method,and then admix it with the weight of each property by each method to get the the final combined weights.We also have Combined rough set with other evaluation methods to established the comprehensive evaluation model. We have summarized a programmatic evaluation process based on rough sets. In the evaluation process,the discernibility matrix can be use to remove unnecessary methods. Rough set make the results more objective and reasonable in the process of integration with other traditional evaluation methods. Fuzzy clustering can be use to classification;The combination of rough set and group decision will make more realistic results;AHP based on rough set will make the order of every level more reasonable.