计算机科学 ›› 2016, Vol. 43 ›› Issue (6): 204-207.doi: 10.11896/j.issn.1002-137X.2016.06.041
苟光磊,王国胤
GOU Guang-lei and WANG Guo-yin
摘要： 置信优势关系粗糙集用于处理不完备有序决策系统,知识约简是核心问题之一。在不完备有序决策系统下区分两个对象需考虑决策值之间的偏好关系,因此给出置信优势原理关系的定义,将满足此关系的对象视为是不可区分的。提出不协调优势原理关系下的约简定义,进一步给出约简的判定定理和辨识矩阵,从而提供了在不完备有序决策系统下新的知识约简方法。通过实例验证了新的知识约简方法的有效性。
| [1] Dembczyński K,Greco S,Kotowski W,et al.Quality of rough approximation in multi-criteria classification problems[M]∥Rough Sets and Current Trends in Computing.Springer Berlin Heidelberg,2006:318-327 [2] Greco S,Matarazzo B,Slowinski R.Rough Approximation by Dominance Relations[J].International Journal of Intelligent Systems,2002,17(2):153-171 [3] Pawlak Z,Skowron A.Rudiments of rough sets[J].Information Sciences,2007,177(1):3-27 [4] Gou Guang-lei,Wang Guo-yin,Li Jie,et al.Confidential dominance relation based rough approximation model[J].Control and Decision,2014,9(7):1325-1329(in Chinese) 苟光磊,王国胤,利节,等.基于置信优势关系的粗糙集近似模型[J].控制与决策,2014,9(7):1325-1329 [5] Susmaga R,Slowinski R.Generation of rough sets reducts and constructs based on inter-class and intra-class information[J].Fuzzy Sets and Systems,2015,4(1):124-142 [6] Jia X,Shang L,Zhou B,et al.Generalized attribute reduct inrough set theory[J].Knowledge-Based Systems,2016,91:204-218 [7] Xu W H,Zhang W X.Methods for knowledge reduction in inconsistent ordered information systems[J].Journal of Applied Mathematics and Computing,2008,26(1):313-323 [8] Xu W H,Li Yuan,Liao Xiu-wu.Approaches to attribute reductions based on rough set and matrix computation in inconsistent ordered information systems[J].Knowledge-Based Systems,2012,7(3):78-91 [9] Inuiguchi M,Yoshioka Y.Several reducts in dominance-basedrough set approach[M]∥Interval/Probabilistic Uncertainty and Non-Classical Logics.Springer Berlin Heidelberg,2008:163-175 [10] Kusunoki Y,Inuiguchi M.A unified approach to reducts in do- minance-based rough set approach[J].Soft Computing,2010,14(5):507-515 [11] Susmaga R.Reducts and constructs in classic and dominance-based rough sets approach[J].Information Sciences,2014,271(7):45-64 [12] Du W S,Hu B Q.Approximate distribution reducts in inconsistent interval-valued ordered decision tables[J].Information Scie-nces,2014,271(7):93-114 [13] Shao M W,Zhang W X.Dominance relation and rules in an incomplete ordered information system[J].International Journal of Intelligent Systems,2005,20(1):13-27 [14] Yang X B,Yang J Y,Wu C,et al.Dominance-based rough set approach and knowledge reductions in incomplete ordered information system[J].Information Sciences,2008,178(4):1219-1234 [15] Yang X B,Yu D J,Yang J Y,et al.Dominance-based rough set approach to incomplete interval-valued information system[J].Data & Knowledge Engineering,2009,68(11):1331-1347 |
| No related articles found! |
|
||
首页