Computer Science ›› 2021, Vol. 48 ›› Issue (3): 163-167.doi: 10.11896/jsjkx.200100046
• Database & Big Data & Data Science • Previous Articles Next Articles
WEN Xin1, YAN Xin-yi2, CHEN Ze-hua1
CLC Number:
[1]WANG G Y.Rough Set Theory and Knowledge Acquisition[M].Xi’an:Xi’an Jiaotong University Press,2001:147-152. [2]MENG Z Q,SHI Z Z.On rule acquisition methods for data classification in heterogeneous incomplete decision systems[J].Knowledge-Based Systems,2020,193:1-22. [3]MATSUMOTO Y,WATADA J.Knowledge Acquisition fromRough Sets Using Merged Decision Rules[J].Advanced Computational Intelligence and Intelligent Informatics,2018,22(3):404-410. [4]CHEN Z H,ZHANG Y,XIE G.Mining algorithm for concise decision rules based on granular computing[J].Control & Decision,2015,30(1):143-148. [5]WILLE R.Restructuring Lattice Theory:An Approach Basedon Hierarchies of Concepts [M].Springer Netherlands,1982:445-470. [6]ZHI H L,LI J H.Granule description based knowledge disco-very from incomplete formal contexts via necessary attributeanalysis[J].Information Science,2019,485:347-361. [7]WEI L,LIU L,QI J J,et al.Rules acquisition of formal decision contexts based on three-way concept lattices[J].Information Science,2020,516:529-544. [8]LI J H,MEI C L,KUMAR C A,et al.On Rule Acquisition in Decision Formal Contexts[J].International Journal of Machine Learning & Cybernetics,2013,4(6):721-731. [9]THUY N N,WONGTHANAVASU S.An efficient strippedcover-based accelerator for reduction of attributes in incomplete decision tables[J].Expert Systems With Applications,2020,143:113076.1-113076.15. [10]WU W Z,QIAN Y H,LI T J,et al.On rule acquisition in incomplete multi-scale decision tables[J].Information Sciemces,2017,378:282-302. [11]JOSÉ BENÍTEZ-CABALLERO M,MEDINA J,RAMÍREZ-POUSSA E,et al.Rough-set-driven approach for attribute reduction in fuzzy formal concept analysis[J].Fuzzy Sets and Systems,2019,391:117-138. [12]XIAO Q M,LANG G M,LIU W J,et al.The approximations in rough concept lattice and approximable concept lattice[J].Journal of Intelligent & Fuzzy Systems,2017,33(6):3459-3467. [13]LI J H,REN Y,MEI C L,et al.A comparative study of multigranulation rough sets and concept lattices via rule acquisition[J].Knowledge-Based Systems,2016,91:152-164. [14]ZHU Z Q,LI H,DAI G Y,et al.A rough set multi-knowledge extraction algorithm and its formal concept analysis[C]//International Conference on Intelligent Systems Design and Applications.2015:25-29. [15]LI J H,MEI C L,ZHANG H Y.Attribute Reduction Method for Formal Decision Contexts Based on Genetic Algorithm and its Application to Decision-making Analysis[J].Journal of Chinese Computer Systems,2015,36(8):1803-1808. [16]KANG X P,MIAO D Q.A study on information granularity in formal concept analysis based on concept-bases[J].Knowledge-Based Systems,2016,105:147-159. |
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