Computer Science ›› 2020, Vol. 47 ›› Issue (3): 61-66.doi: 10.11896/jsjkx.190500174
• Database & Big Data & Data Science • Previous Articles Next Articles
YANG Jie 1,2,WANG Guo-yin1,LI Shuai1
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[1]PEDRYCZ W,ALHMOUZ R,MORFEQ A,et al.The design of free structure granular mappings:the use of the principle of justifiable granularity [J].IEEE Transactions on Cybernetics,2013,43(6):2105-2113. [2]PEDRYCZ W,SKOWRON A,KREINOVICH V.Handbook of granular computing [M].Wiley-Interscience,2008:719-740. [3]YAO J T,VASILAKOS A V,PEDRYCZ W.Granular Computing:Perspectives and Challenges[J].IEEE Transactions on Cybernetics,2013,43(6):1977-1989. [4]YAO Y Y.Perspectives of granular computing[C]∥IEEE International Conference on Granular Computing.IEEE,2005:85-90. [5]WANG G Y,YANG J,XU J.Granular computing:from granularity optimization to multi-granularity joint problem solving [J].Granular Computing,2017,2(3):1-16. [6]ZADEH L A.Fuzzy sets[J].Information and Control,1965, 8(3):338-353. [7]PAWLAK Z.Rough sets[J].International Journal of Computer Information Sciences,1982,11(5):341-356. [8]张钹,张铃.问题求解理论及应用[M].北京:清华大学出版社,1990. [9]LI D Y,MENG H J.Membership and membership cloud genera- tor[J].Computer Research and Development,1995(6):15-20. [10]LIN T Y.Neighborhood systems and relational databases[C]∥Proceedings of the 1988 ACM Sixteenth Annual Conference on Computer Science.ACM,1988:725. [11]YAO Y Y.Relational interpretations of neighborhood operators and rough set approximation operators[J].Information Sciences,1998,111(1-4):239-259. [12]YAO Y Y.Granular computing using neighborhood systems,advances in soft computing:engineering design and manufacturing[C]∥The 3rd On-line World Conference on Soft Computing.London:Springer,1999:539-553. [13]HU Q H,YU D,XIE Z.Neighborhood classifiers[J].Expert Systems with Applications,2008,34(2):866-876. [14]HU Q H,YU D,LIU J,et al.Neighborhood rough set based heterogeneous feature subset selection[J].Information Sciences,2008,178(18):3577-3594. [15]LI W,HUANG Z,JIA X,et al.Neighborhood based decision-theoretic rough set models[J].International Journal of Approximate Reasoning,2016,69:1-17. [16]YANG X,MING Z,DOU H,et al.Neighborhood systems-based rough sets in incomplete information system[J].Knowledge-Based Systems,2011,24(6):858-867. [17]WANG Q,QIAN Y H,LIANG X Y,et al.Local neighborhood rough set[J].Knowledge-Based Systems,2018,153:53-64. [18]YONG L,HUANG W,JIANG Y,et al.Quick attribute reduct algorithm for neighborhood rough set model[J].Information Sciences,2014,271(7):65-81. [19]CHEN Y M,ZENG Z,LU J.Neighborhood rough set reduction with fish swarm algorithm[J].Soft Computing,2016,21(23):1-12. [20]YING Y,PEDRYCZ W,MIAO D.Neighborhood rough sets based multi-label classification for automatic image annotation[J].International Journal of Approximate Reasoning,2013,54(9):1373-1387. [21]KUMAR S U,INBARANI H H.Neighborhood rough set based ECG signal classification for diagnosis of cardiac diseases[J].Soft Computing,2016,21(16):4721-4733. [22]XIE H,TAN K,WANG L,et al.Hyperspectral band selection based on a variable precision neighborhood rough set[J].Applied Optics,2016,55(3):462. [23]ZHONG Y,ZHANG X,SHAN F.Hybrid data-driven outlier detection based on neighborhood information entropy and its developmental measures[J].Expert Systems with Applications,2018,112:243-257. [24]MENG J,JING Z,RUI L,et al.Gene selection using rough set based on neighborhood for the analysis of plant stress response[J].Applied Soft Computing,2014,25(C):51-63. [25]CHEN Y M,WU K,CHEN X,et al.An entropy-based uncertainty measurement approach in neighborhood systems[J].Information Sciences,2014,279:239-250. [26]CHEN Y M,XUE Y,MA Y,et al.Measures of uncertainty for neighborhood rough sets[J].Knowledge-Based Systems,2017,120:226-235. [27]TANG Z H,CHEN Y M.Uncertainty measurement methods for neighborhood systems[J].Control and Decision,2014,29(4):691-695. [28]ZHENG T,ZHU L.Uncertainty measures of Neighborhood System-based rough sets[J].Knowledge-Based Systems,2015,86:57-65. [29]QIAN Y H,LIANG J Y,DANG C Y.Knowledge structure, knowledge granulation and knowledge distance in a knowledge base[J].International Journal of Approximate Reasoning,2009,50:174-188. [30]LIANG J Y,RU L,QIAN Y H.Distance:A more comprehensible perspective for measures in rough set theory[J].Knowledge-Based Systems,2012,27(3):126-136. [31]QIAN Y H,CHENG H,WANG J,et al.Grouping granular structures in human granulation intelligence[J].Information Sciences,2017,382:150-169. [32]YANG X B,QIAN Y H,YANG J Y.On characterizing hierarchies of granulation structures via distances[J].Fundamenta Informaticae,2013,123(3):365-380. [33]CHEN Y M,QIN N,LI W,et al.Granule structures,distances and measures in neighborhood systems[J].Knowledge-Based Systems,2018,165:268-281. [34]YANG J,WANG G Y,ZHANG Q H.Knowledge Distance Measure in Multigranulation Spaces of Fuzzy Equivalence Relations[J].Information Sciences,2018,448-449:18-35. [35]QIAN Y H,LI Y,LIANG J Y,et al.Fuzzy Granular Structure Distance[J].IEEE Transactions on Fuzzy Systems,2015,23(6):2245-2259. [36]WANG G Y,ZHANG Q H.Uncertainty of Rough Sets in Different Knowledge Granularities[J].Chinese Journal ofCompu-ters,2008,31(9):1588-1598. |
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