On different ways of handling inconsistencies in ordinal classification with monotonicity constraints

doi:10.1007/978-3-642-31709-5_31

	On different ways of handling inconsistencies in ordinal classification with monotonicity constraints
	Blaszczyn´ski, Jerzy 1; Deng, Weibin 3,4; Hu, Feng 3,4; Slowin´ski, Roman 1,2; Szelaog, Marcin 1; Wang, Guoyin 4,5
	2012
会议日期	July 9, 2012 - July 13, 2012
会议地点	Catania, Italy
DOI	10.1007/978-3-642-31709-5_31
页码	300-309
通讯作者	B&lstrok ; aszczyn´ski, J.
英文摘要	Ordinal classification problem with monotonicity constraints involves a monotonic relationship between the description of an object and the class to which it is assigned. An example of such a relationship is: the higher the quality of service and the lower the price, the higher the customer satisfaction level (class). Violation of the monotonic relationship is considered as an inconsistency. Rough set approaches to induction of the monotonic relationships in form of decision rules handle these inconsistencies at the stage of data pre-processing. As a result, the data sufficiently consistent for rule induction are identified. In this paper, we compare two ways of handling inconsistencies. The first one consists in distinguishing objects that are not less consistent than a specified threshold from those which are less consistent. The second one involves iterative removal of the most inconsistent objects until the data set is consistent. We present results of a computational experiment, in which rule classifiers are induced from data pre-processed in the two considered ways. © 2012 Springer-Verlag Berlin Heidelberg.
会议录	14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012
语种	英语
ISSN号	18650929
内容类型	会议论文
源URL	[http://119.78.100.138/handle/2HOD01W0/4760]
专题	中国科学院重庆绿色智能技术研究院
作者单位	1.Institute of Computing Science, Poznan´ University of Technology, 60-965 Poznan´, Poland; 2.Systems Research Institute, Polish Academy of Sciences, 01-447 Warsaw, Poland; 3.School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, China; 4.Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China; 5.Institute of Electronic Information Technology, Chongqing Institute of Green and Intelligent Technology, CAS, Chongqing 401122, China
推荐引用方式 GB/T 7714	Blaszczyn´ski, Jerzy,Deng, Weibin,Hu, Feng,et al. On different ways of handling inconsistencies in ordinal classification with monotonicity constraints[C]. 见:. Catania, Italy. July 9, 2012 - July 13, 2012.