Equivalent Cluster Of Fuzzy Rough Set Based Indeterminate Attribute Reduction And Its Application On The Fashion's Match

There lies some indeterminacy in the fields such as artificial intelligence, machine learning, pattern recognition and data mining, i.e randomicity, fuzzyness, and also imcompletion, inconsistency, time variability e.t.c. These indeterminacy must be cared on the data processing or analyzing, especially in the course of attribute reduction with the decision- making sort. So, we research a method serving the attribute reduction which is based on the fuzzy rough set and equavelant cluster in the environment with uncertainty, including its application on the fashion's match, otherwise we wouldn't obtain satisfied reduction object. While our main study contents and creative points are shown as the following:Giving out a sort of equavelant cluster based on the fuzzy rough set(FRS); using fuzzy c means method to repartition the universe of FRS to get new equavelant classes; these classes having smaller average cardinal number, able to accelerate the speed of convergence in the course of the reduction mentioned above.Putting forward a model of variable level and precision fuzzy rough set: processing uncertainty questions in the course of attribute reduction with indetermincy; removing those uncertainty aroused by noise through adapting the level of equavelant classes; reducing the uncertainty involved in the decision concepts after having set the precision of approximative notion according to the requisition in order to make decision result more reliable.Creating an algorithm of pudo-core-set particle optimisition: decreasing the time a lot spent in the processing of large-scale dataset, agreeing the demand of real time, the algorithm also relating the compisition of particles to pudo core set of reduction, thereby making particles evolving to an optimal direction, speeding up the convergence course of the algorithm.Studying an algorithm of fashion match, which considers uncertainty: primarily giving out a system of fashion match based on the attribute reduction with indeterminacy and rule reasioning, able to find out fashion match pattern automatically, to overcome the uncertainty resulted in the fashion match and human subjectivity factor, to eliminate the error rate of final match pattern.