Computer Science ›› 2016, Vol. 43 ›› Issue (1): 98-102.doi: 10.11896/j.issn.1002-137X.2016.01.023

Previous Articles     Next Articles

Double Quantitative Rough Fuzzy Set Model Based on Logical And Operator and Logical Disjunct Operator in Ordered Information System

HU Meng and XU Wei-hua   

  • Online:2018-12-01 Published:2018-12-01

Abstract: A novel rough set model,called double quantitative rough fuzzy set model,was established based on the “logical and operator” and “logical disjunct operator” in ordered information system.It overcomes fuzzy problems which cannot be solved by using traditional “logical and operator” and “logical disjunct operatror” rough model.Some important properties were presented,and significance of the model was shown by the supermarket case study.

Key words: Graded rough set,Fuzzy rough set,Ordered information system,Variable precision rough set

[1] Zadeh L A.Fuzzy Sets and Information Granularity[J].Advances in Fuzzy Set Theory & Application,1996:3-18
[2] Pawlak Z.Rough Sets[J].International Journal of Computer and Information Sciences,1982,11(5):341-356
[3] Zhang Xian-yong.Study on several rough set models and their algorithmsbased on logical combinations of precision and grade [D].Chengdu:Sichuan Normal University,2011(in Chinese)张贤勇.基于精度与程度逻辑组合的几类粗糙集模型及其算法研究[D].成都:四川师范大学,2011
[4] Zhang Xian-yong,Xiong Fang,Mo Zhi-wen.Properties of Approximation Operators of Logical Difference Operation of Grade and Precision[J].Mathematics in Practice and Theory,2011,8(41):209-213
[5] Zhang Xian-yong,Mo Zhi-wen,Xiong Fang,et al.Comparative study of variable precision rough set model and graded rough set model[J].International Journal of Approximate Reasoning,2012,53(1):104-116
[6] Zhang Xian-yong,Miao Duo-qian.Two basic double-quantitative rough set models of precision and grade and their investigation using granular computing [J].International Journal of Approximate Reasoning,2013,54(8):1130-1148
[7] Yu Jiang-huang,Xu Wei-hua.Rough Set Based on Logical Disjunctperation of Variable Precision and Grade in Ordered Information System[J].Journal of Frontiers of Computer Science and Technology,2015,9(1):112-118(in Chinese)余建航,徐伟华.序信息系统下变精度与程度的“逻辑或”粗糙集[J].计算机科学与探索,2015,9(1):112-118
[8] Yao Y Y,Lin T Y.Generalization of rough sets using modal lo-gics[J].Intelligent Automatic and Soft Computing,1996,2:103-120
[9] Zhang W X,Wu W Z,Liang J Y,et al.Rough set theory and method [M].Beijing:Science press,2001(in Chinese)张文修,吴伟志,梁吉业,等.粗糙集理论与方法[M].北京:科学出版社,2001
[10] An A,Shan N,Chan C,et al.Discovering rules for water demand prediction:an enhanced rough-set approach[J].Engineering Application of Artificial Intelligence,1996,9:645-653
[11] Xu Wei-hua,Liu Shi-hu,Wang Qiao-rong.The First Type ofGrade Rough Set Based on Rough Membership Function[C]∥2010 Seventh International Conference System and Knowledge Discovery(FSKD2010).2010:1922-1926
[12] Zhang Xian-yong,Xiong Fang,Mo Zhi-wen.Rought Set Model Based on Logical Or Operation of Precision and Grade[J].Pattern Recognition and Artificial Intelligence,2009,7(9):151-155(in Chinese)张贤勇,熊方,莫志文.精度与程度的逻辑或粗糙集模型[J].模式识别与人工智能,2009,7(9):151-155
[13] Ziarko W.Variable precision rough set model[J].Journal ofComputer and System Sciences,1993,6(1):39-59
[14] Dubois D,Prade H.Rough fuzzy sets and fuzzy rough sets[J].International Journal of General Systems,1990,7:191-209
[15] Xu Wei-hua.Ordered information system and rough set[M].Beijing:Science press,2013(in Chinese)徐伟华.序信息系统与粗糙集[M].北京:科学出版社,2013

No related articles found!
Full text



[1] LEI Li-hui and WANG Jing. Parallelization of LTL Model Checking Based on Possibility Measure[J]. Computer Science, 2018, 45(4): 71 -75, 88 .
[2] XIA Qing-xun and ZHUANG Yi. Remote Attestation Mechanism Based on Locality Principle[J]. Computer Science, 2018, 45(4): 148 -151, 162 .
[3] LI Bai-shen, LI Ling-zhi, SUN Yong and ZHU Yan-qin. Intranet Defense Algorithm Based on Pseudo Boosting Decision Tree[J]. Computer Science, 2018, 45(4): 157 -162 .
[4] WANG Huan, ZHANG Yun-feng and ZHANG Yan. Rapid Decision Method for Repairing Sequence Based on CFDs[J]. Computer Science, 2018, 45(3): 311 -316 .
[5] SUN Qi, JIN Yan, HE Kun and XU Ling-xuan. Hybrid Evolutionary Algorithm for Solving Mixed Capacitated General Routing Problem[J]. Computer Science, 2018, 45(4): 76 -82 .
[6] ZHANG Jia-nan and XIAO Ming-yu. Approximation Algorithm for Weighted Mixed Domination Problem[J]. Computer Science, 2018, 45(4): 83 -88 .
[7] WU Jian-hui, HUANG Zhong-xiang, LI Wu, WU Jian-hui, PENG Xin and ZHANG Sheng. Robustness Optimization of Sequence Decision in Urban Road Construction[J]. Computer Science, 2018, 45(4): 89 -93 .
[8] LIU Qin. Study on Data Quality Based on Constraint in Computer Forensics[J]. Computer Science, 2018, 45(4): 169 -172 .
[9] ZHONG Fei and YANG Bin. License Plate Detection Based on Principal Component Analysis Network[J]. Computer Science, 2018, 45(3): 268 -273 .
[10] SHI Wen-jun, WU Ji-gang and LUO Yu-chun. Fast and Efficient Scheduling Algorithms for Mobile Cloud Offloading[J]. Computer Science, 2018, 45(4): 94 -99, 116 .