On Classification of Data by Means of Rough Mereological Granules of Objects and Rules
Granulation of knowledge has turned an effective tooIin data classification．We propose the approach to classification of data which extends our earlier methods by considering granules of either objects or decision rules obtained either from the original training set or from its granular reflection.Members of a granule vote for the decision class of that object．We present results of tests which show that this method usually gives results at least as good as the exhaustive classifier built on rough set principles．
rough sets granulation of knowledge rough inclusions data classification
Piotr Artiemjew
University of Warmia and Mazury Zolnierska 14,10-560 Olsztyn,Poland
国际会议
成都
英文
221-228
2008-05-17（万方平台首次上网日期，不代表论文的发表时间）