Journal Papers

2018 (12 篇)
[12] Jiye Liang, Jie Qiao, Fuyuan Cao, Xiaolin Liu, A distributed representation model for short text analysis, Journal of Computer Research and Development, 2018, 55(8): 1631-1640.(in Chinese)
[11] Yinfeng Meng,Jiye Liang,Fuyuan Cao,Yijun He. A new distance with derivative information for functional k-means clustering algorithm, Information Sciences, 2018, 463-464:166-185.
[10] Zhiqiang Wang,Jiye Liang,Ru Li. A fusion probability matrix factorization framework for link prediction, Knowledge-Based Systems, 2018, 10.1016/j.knosys.2018.06.005.
[9] Liang Bai, Jiye Liang, Yike Guo.An ensemble clusterer of multiple fuzzy k-means clusterings to recognize arbitrarily shaped clusters, IEEE Transactions on fuzzy systems, 2018, DOI 10.1109/TFUZZ.2018.2835774.
[8] Fuyuan Cao,Joshua Zhexue Hang,Jiye Liang,Xingwang Zhao,Yinfeng Meng. An Algorithm for Clustering Categorical Data with Set-valued Features, IEEE Transactions on Neural Networks and Learning Systems, 2018, (DOI:10.1109/TNNLS.2017.2770167).
[7] Xingwang Zhao, Fuyuan Cao, Jiye Liang. A sequential ensemble clusterings generation algorithm for mixed data, Applied Mathematics and Computation, 2018, 335:264–277.
[6] Zhiqiang Wang, Jiye Liang, Ru Li.Exploiting user-to-user topic inclusion degree for link prediction in social-information networks,Expert Systems with Applications, 2018, 108:143-158.
[5] Yuhua Qian, Xinyan Liang, Qi Wang, Jiye Liang, Bing Liu, Andrzej Skowron, et al. Local rough set: a solution to rough data analysis in big data, International Journal of Approximate Reasoning, 2018, 97:38-63
[4] Chao Zhang, Deyu Li, Jiye Liang, Hesitant fuzzy linguistic rough set over two universes model and its applications, International Journal of Machine Learning and Cybernetics,2018, 9(4):577-588.
[3] Liang Bai,Jiye Liang,Hangyuan Du,YikeGuo. A novel community detection algorithm based on simplification of complex networks, Knowledge-Based Systems, 2018, 143:58–64.
[2] Wei Wei,Xiaoying Wu,Jiye Liang,Junbiao Cui,Yijun Sun. Discernibility matrix based incremental attribute reduction for dynamic data, Knowledge-Based Systems, 2018, 140:142-157.
[1] Zhang Kaihan, Liang Jiye, Zhao Xingwang,Wang Zhiqiang. A collaborative filtering recommendation algorithm based on information of community experts. Journal of Computer Research and Development, 2018, 55(5): 968-976.(In Chinese)
2017 (12 篇)
[12] Jie Wang,Wenping Zheng,Yuhua Qian,Jiye Liang. A seed expansion graph clustering method for protein complexes detection in protein interaction networks, Molecules, 2017, 22:2179.
[11] Xiaoqiang Guan,Jiye Liang,Yuhua Qian,Jifang Pang. A multi-view OVA model based on decision tree for multi-classification tasks, Knowledge-Based Systems, 2017, 138:208–219.
[10] Liang Bai,Xueqi Chen,Jiye Liang,Huawei Shen,Yike Guo. Fast density clustering strategies based on the k-means algorithm, Pattern Recognition, 2017, 71:375–386.
[9] Xingwang Zhao,Jiye Liang,Chuangyin Dang. Clustering ensemble selection for categorical data based on internal validity indices, Pattern Recognition, 2017, 69:150–168.
[8] Jifang Pang,Jiye Liang,Peng Song. An adaptive consensus method for multi-attribute group decision making under uncertain linguistic environment, Applied Soft Computing, 2017, 58:339-353.
[7] Fuyuan Cao,Liqin Yu,Joshua Zhexue Huang,Jiye Liang. k-mw-modes: an algorithm for clustering categorical matrix-object data, Applied Soft Computing, 2017, 57:605-614
[6] Liang Bai,Xueqi Cheng,Jiye Liang,Yike Guo. Fast graph clustering with a new description model for community detection, Information Sciences, 2017, 388-389:37–47.
[5] Feijiang Li,Yuhua Qian,Jieting Wang,Jiye Liang. Multigranulation information fusion: A Dempster-Shafer evidence theory-based clustering ensemble method, Information Sciences, 2017, 378:389–409.
[4] Yuhua Qian,Honghong Cheng, Jieting Wang,Jiye Liang,Witold Pedrycz,Chuangyin Dang. Grouping granular structures in human granulation intelligence, Information Sciences, 2017, 382-383:150–169.
[3] Yuhua Qian, Xinyan Liang, Guoping Lin, Qian Guo, Jiye Liang, Local multigranulation decision-theoretic rough sets, International Journal of Approximate Reasoning, 2017, 82, 119-137.
[2] Yunsheng Song,Jiye Liang,Jing Lu,Xingwang Zhao. An efficient instance selection algorithm for k nearest neighbor regression, Neurocomputing, 2017, 251:26-34.
[1] Fuyuan Cao,, Joshua Zhexue Huang,Jiye Liang. A fuzzy SV-k-modes algorithm for clustering categorical data with set-valued attributes, Applied Mathematics and Computation, 2017, 295:1–15.
2016 (11 篇)
[11] Zhiqiang Wang,Jiye Liang,Ru Li,Yuhua Qian. An approach to cold-start link prediction:establishing connections between non-topological and topological information, IEEE Transactions on Knowledge and Data Engineering, 2016, 28(11):2857- 2870.
[10] Liang Bai,Xueqi Cheng,Jiye Liang,Huawei Shen. An optimization model for clustering categorical data streams with drifting concepts, IEEE Transactions on Knowledge and Data Engineering, 2016, 28(11):2871-2883.
[9] Yuhua Qian, Feijiang Li, Jiye Liang, Bing Liu, Chuangyin Dang. Space structure and clustering of categorical data. IEEE Transactions on Neural Networks and Learning Systems, 2016, 27(10):2047-2059.
[8] Wei Wei,Junbiao Cui,Jiye Liang,Junhong Wang. Fuzzy rough approximations for set-valued data, Information Sciences, 2016, 360:181–201
[7] Feng Wang,Jiye Liang. An efficient feature selection algorithm for hybrid data, Neurocomputing, 2016, 193:33–41.
[6] Xingwang Zhao, Jiye Liang. An attribute weighted clustering algorithm for mixed data based on information entropy, Journal of Computer Research and Development, 2016, 53(5): 1018-1028.(in Chinese)
[5] Jiye Liang, Chenjiao Feng, Peng Song. A survey on correlation analysis of big data.Chinese Journal of Computers,2016, 39(1):1-18.(in Chinese)
[4] Zhiqiang Wang, Ru Li,Jiye Liang,Xuhua Zhang,Juan Wu,Na Su,Research on question answering for reading comprehension based on Chinese discourse frame semantic parsing,Chinese Journal of Computers,2016, 39(4):795-807. (in Chinese)
[3] Yinfeng Meng,Jiye Liang,Yuhua Qian. Comparison study of orthonormal representations of functional data in classification, Knowledge-Based Systems, 2016, 97:224–236.
[2] GuopingLin,Jiye Liang,Yuhua Qian,JinjinLi. A fuzzy multigranulation decision-theoretic approach to multi-source fuzzy information systems, Knowledge-Based Systems, 2016, 91:102-113.
[1] Yanli Sang,Jiye Liang,Yuhua Qian. Decision-theoreticroughsetsunderdynamicgranulation, Knowledge-Based Systems, 2016, 91:84-92.
2015 (10 篇)
[10] Yuhua Qian,Jiye Liang,Chuangyin Dang. Fuzzy granular structure distance, IEEE Transactions on Fuzzy Systems, 2015, 23(6):2245-2259.
[9] Jiye Liang, Yuhua Qian, Deyu Li, Qinghua Hu.Theory and method of granular computing for big data mining, Science in China-Series F: Information Sciences ,2015, 45(11):1355-1369.(in Chinese)
[8] Liang Bai,Jiye Liang. Cluster validity functions for categorical data:a solution-space perspective, Data Mining and Knowledge Discovery,2015,29(6):1560-1597.
[7] Wei Wei,Junhong Wang,Jiye Liang,Xin Mi,Chuangyin Dang. Compacted decision tables based attribute reduction, Knowledge-Based Systems, 2015, 86:261-277.
[6] Guoping Lin,Jiye Liang,Yuhua Qian. An information fusion approach by combining multigranulation rough sets and evidence theory, Information Sciences, 2015, 314:184–199.
[5] Yuhua Qian,Hang Xu,Jiye Liang,Bing Liu,Jieting Wang. Fusing monotonic decision trees, IEEE Transactions on Knowledge and Data Engineering, 2015, 27(10):2717-2728
[4] Baoli Wang, Jiye Liang, Yuhua Qian, Chuangyin Dang, A normalized numerical scaling method for the unbalanced multi-granular linguistic sets, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2015, 23(2):221-243.
[3] Xiaofang Gao,Jiye Liang. An improved incremental nonlinear dimensionality reduction for isometric data embedding, Information Processing Letters, 2015, 115(4):492–501.
[2] Guoping Lin, Jiye Liang, Yuhua Qian, Uncertainty measures for multigranulation approximation space, International Journal of Uncertianty, Fuzziness and Knowledge-Based Systems, 2015, 23(3):443–457
[1] Yuhua Qian, Qi Wang, Honghong Cheng, Jiye Liang, Chuangyin Dang. Fuzzy-rough feature selection accelerator, Fuzzy Sets and Systems,2015, 258: 61–78.
2014 (8 篇)
[8] Jiye Liang, Feng Wang, Chuangyin Dang, Yuhua Qian. A group incremental approach to feature selection applying rough set technique, IEEE Transactions on Knowledge and Data Engineering, 2014, 26(2):294 - 308.
[7] Baoli Wang, Jiye Liang, Yuhua Qian.Preorder information based attributes weights learning in multi-attribute decision making, Fundamenta Informaticae,2014,132:331-347.
[6] Yuhua Qian, Shunyong Li, Jiye Liang , Zhongzhi Shi , Feng Wang. Pessimistic rough set based decisions: A multigranulation fusion strategy, Information Sciences, 2014,264: 196–210.
[5] Yuhua Qian, Hu Zhang, Yanli Sang, Jiye Liang. Multigranulation decision-theoretic rough sets, International Journal of Approximate Reasoning, 2014,55:225-237.
[4] Yuhua Qian, Hu Zhang, Yanli Sang, Jiye Liang. Multigranulation decision-theoretic rough sets, International Journal of Approximate Reasoning, 2014,55:225-237.
[3] Liang Bai, Jiye Liang. The k-modes type clustering plus between-cluster information for categorical data, Neurocomputing, 2014, 133: 111–121.
[2] Yuhua Qian, Hu Zhang, Feijiang Li, Qinghua Hu, Jiye Liang. Set-Based Granular Computing: a Lattice Model. International Journal of Approximate Reasoning, 2014, 55(3): 834–852 .
[1] Fuyuan Cao, Joshua Zhexue Huang, Jiye Liang. Trend analysis of categorical data streams with a concept change method, Information Sciences, 2014, , 276:160-173.
2013 (11 篇)
[11] Liang Bai, Jiye Liang, Chuangyin Dang, Fuyuan Cao. The impact of cluster representatives on the convergence of the K-Modes type clustering, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(6): 1509-1522.
[10] Xiaofang Gao,Jiye Liang. Manifold learning algorithm DC-ISOMAP of data lying on the well-separated multi-manifold with same intrinsic dimension.Journal of Computer Research and Development, 50(8):1690-1699.
[9] Liang Bai, Jiye Liang, Chao Sui, Chuangyin Dang, Fast global k-means clustering based on local geometrical information, Information Sciences,2013,245: 168–180.
[8] Guoping Lin, Jiye Liang, Yuhua Qian. Multigranulation rough sets: from partition to covering, Information Sciences, 2013,241:101-118.
[7] Wei Wei, Jiye Liang, Junhong Wang, Yuhua Qian. Decision-relative discernibility matrixes in the sense of entropies. International Journal of General Systems, 2013,42(7):721-738
[6] Wei Wei, Jiye Liang, Yuhua Qian, Chuangyin Dang. Can fuzzy entropies be effective measures for evaluating the roughness of a rough set, Information Sciences, 2013,232:143-166.
[5] Fuyuan Cao,Jiye Liang,Deyu Li,Xingwang Zhao. A weighting k-Modes algorithm for subspace clustering of categorical data, Neurocomputing, 2013, 108:23-30.
[4] Jiye Liang, Junrong Mi , Wei Wei, Feng Wang. An accelerator for attribute reduction based on perspective of objects and attributes, Knowledge-Based Systems,2013,44:90–100.
[3] Liang Bai, Jiye Liang, Chuangyin Dang, Fuyuan Cao. A novel fuzzy clustering algorithm with between-cluster information for categorical data, Fuzzy Sets and Systems, 2013 ,215: 55–73
[2] Feng Wang, Jiye Liang, Yuhua Qian. Attribute reduction: A dimension incremental strategy, Knowledge-Based Systems, 2013,39:95-108.
[1] Feng Wang, Jiye Liang, Chuangyin Dang. Attribute reduction for dynamic data sets, Applied Soft Computing, 2013, 13(1):676-689.
2012 (12 篇)
[12] Yuhua Qian, Jiye Liang, Peng Song, Chuangyin Dang, Wei Wei. Evaluation of the decision performance of the decision rule set from an ordered decision table. Knowledge-Based Systems, 2012, 36: 39–50.
[11] Yuhua Qian, Jiye Liang, Weiwei. Consistency-preserving attribute reduction in fuzzy rough set framework. International Journal of Maching Learning and Cybernetics, 2012, 2012:45-53.
[10] Jiye Liang, Liang Bai, Chuangyin Dang, Fuyuan Cao. The k-means-type algorithms versus imbalanced data distributions, IEEE Transactions on Fuzzy Systems, 2012, 20(4):728-745.
[9] Jiye Liang, Feng Wang, Chuangyin Dang, Yuhua Qian. An efficient rough feature selection algorithm with a multi-granulation view, International Journal of Approximate Reasoning. 2012, 53:912-926.
[8] Jiye Liang, Ru Li, Yuhua Qian. Distance: a more comprehensible perspective for measures in rough set theory. Knowledge-Based Systems, 2012, 27:126-136.
[7] Jiye Liang, Xingwang Zhao, Deyu Li, Fuyuan Cao, Chuangyin Dang, Determining the number of clusters using information entropy for mixed data. Pattern Recognition,2012, 45:2251–2265.
[6] Jifang Pang, Jiye Liang. Evaluation of the results of multi-attribute group decision-making with linguistic information, Omega, 2012, 40: 294-301.
[5] Yuhua Qian, Jiye Liang, Weizhi Wu, Chuangyin Dang. Partial orderings of information granulations: a further investigation. Expert Systems, 2012, 29(1):3-24.
[4] Wei Wei, Jiye Liang, Yuhua Qian. A comparative study of rough sets for hybrid data. Information Sciences, 2012, 190:1-16.
[3] Peng Song, Jiye Liang, Yuhua Qian. A two-grade approach to ranking interval data. Knowledge-Based Systems, 2012,27:234-244.
[2] Liang Bai, Jiye Liang, Chuangyin Dang, Fuyuan Cao. A cluster centers initialization method for clustering categorical data. Expert Systems with Applications, 2012,39(9): 8022-8029.
[1] Fuyuan Cao, Jiye Liang, Deyu Li, Liang Bai, Chuangyin Dang. A dissimilarity measure for the k-Modes clustering algorithm. Knowledge-Based Systems, 2012, 26:120–127.
2011 (7 篇)
[7] Yuhua Qian, Jiye Liang, Witold Pedrycz, Chuangyin Dang. An efficient accelerator for attribute reduction from incomplete data in rough set framework. Pattern Recognition, 2011, 44(8): 1658–1670.
[6] Yuhua Qian, Jiye Liang, Weizhi Wu, Chuangyin Dang. Information granularity in fuzzy binary GrC model. IEEE Transactions on Fuzzy Systems, 2011, 19(2): 253 – 264.
[5] Yuhua Qian, Jiye Liang, Feng Wang. A positive approximation based accelerated algorithm to feature selection from incomplete decision tables. Journal of Computer, 2011, 34(3), 435-442.
[4] Liang Bai, Jiye Liang, Chuangyin Dang, Fuyuan Cao. A novel attribute weighting algorithm for clustering high-dimensional categorical data. Pattern Recognition, 2011,44(12):2843-2861.
[3] Liang Bai, Jiye Liang, Chuangyin Dang. An initialization method to simultaneously find initial cluster centers and the number of clusters for clustering categorical data. Knowledge-Based Systems, 2011,24(6): 785-795.
[2] Fuyuan Cao, Jiye Liang. A data labeling method for clustering categorical data. Expert Systems with Applications, 2011,38(3): 2381-2385.
[1] Xiaofang Gao, Jiye Liang. The dynamical neighborhood selection based on the sampling density and manifold curvature for isometric data embedding. Pattern Recognition Letters, 2011, 32(2): 202-209.
2010 (8 篇)
[8] Yuhua Qian, Jiye Liang, Witold Pedrycz, Chuangyin Dang. Positive approximation: an accelerator for attribute reduction in rough set theory. Artificial Intelligence, 2010, 174: 597-618.
[7] Yuhua Qian, Jiye Liang, Yiyu Yao, Chuangyin Dang. MGRS: a mulit-granulation rough set. Information Sciences, 2010, 180: 949-970.
[6] Fuyuan Cao, Jiye Liang, Liang Bai, Xingwang Zhao, Chuangyin Dang. A framework for clustering categorical time-evolving data. IEEE Transactions on Fuzzy Systems, 2010, 18(5):872-882.
[5] Jiye Liang, Liang Bai, Fuyuan Cao. K-modes clustering algorithm based on a new distance measure. Journal of Computer Research and Development, 2010, 47(10): 1749-1755.
[4] Wei Wei, Jiye Liang, Yuhua Qian, Feng Wang, Chuangyin Dang. Comparative study of decision performance of decision tables induced by attribute reductions. International Journal of General Systems, 2010, 39(8): 813-838.
[3] Yuhua Qian, Jiye Liang, Deyu Li, Feng Wang, Nannan Ma. Approximation reduction in inconsistent incomplete decision tables. Knowledge-Based Systems, 2010, 23(5) : 427-433.
[2] Yuhua Qian, Jiye Liang, Chuangyin Dang. Incomplete multigranulation rough set. IEEE Trasactions on Systems, Man and Cybernetics-Part A, 2010, 40(2):420-431.
[1] Yuhua Qian, Jiye Liang, Peng Song, Chuangyin Dang. On dominance relations in disjunctive set-valued ordered information systems. International Journal of Information Technology & Decision Making, 2010, 9(1): 9-33.
2009 (7 篇)
[7] Yuhua Qian, Chuangyin Dang, Jiye Liang, Dawei Tang. Set-valued ordered information systems. Information Sciences, 2009, 179 : 2809-2832.
[6] Fuyuan Cao, Jiye Liang, Guang Jiang. An initialization method for the K-Means algorithm using neighborhood model. Computers and Mathematics with Applications, 2009, 58: 474-483.
[5] Yuhua Qian, Jiye Liang, Chuangyin Dang. Knowledge structure, knowledge granulation and knowledge distance in a knowledge base. International Journal of Approximate Reasoning, 2009, 50: 174-188.
[4] Jiye Liang, Junhong Wang, Yuhua Qian. A new measure of uncertainty based on knowledge granulation for rough sets. Information Sciences, 2009, 17(9): 458-470.
[3] Fuyuan Cao, Jiye Liang, Liang Bai. A new initialization method for categorical data clustering. Expert Systems with Applications,2009,36(7): 10223-10228.
[2] Yuhua Qian, Jiye Liang, Feng Wang. A new method for measuring the uncertainty in incomplete information systems. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2009, 17(6): 855-880.
[1] Xiaomei Yang, Jiye Liang, Jianchao Zeng, Jiahua Liang. Gini-index genetic algorithm for the scheduling problems with similar characteristics. Journal of Systems Engineering, 2009, 24(3): 322-328.
2008 (14 篇)
[14] Jiye Liang, Yuhua Qian. Information granules and entropy theory in information systems. Science in China(Series E:Information Sciences), 2008, 38(12): 2048-2065.
[13] Jiye Liang, Yuhua Qian. Information granules and entropy theory in information systems. Science in China, Series F: Information Sciences, 2008, 51(10) : 1427-1444.
[12] Yuhua Qian, Jiye Liang, Chuangyin Dang. Interval ordered information systems. Computers & Mathematics with Applications, 2008, 56: 1994-2009.
[11] Yuhua Qian, Jiye Liang, Chuangyin Dang. Consistency measure, inclusion degree and fuzzy measure in decision tables. Fuzzy Sets and Systems, 2008, 159: 2353-2377.
[10] Yuhua Qian, Jiye Liang, Chuangyin Dang. Converse approximation and rule extracting from decision tables in rough set theory. Computers & Mathematics with Applications. 2008, 55: 1754-1765.
[9] Jiye Liang, Chengyuan Zhu, Jianlong Hu, Deyu Li. Research on fuzzy integrative evaluation for implemented situation of technological projects. Journal of Systems Engineering, 2008, 23(5): 636-640.
[8] Yuhua Qian,Chuangyin Dang, Jiye Liang, Feng Wang, Wei Xu. Knowledge distance in information systems. Journal of System Sciences and System Engineering, 2007, 16(4): 434-449.
[7] Jiye Liang, Wei Wei, Yuhua Qian. An incremental approach to computation of a core based on conditional entropy. Systems Engineering-Theory & Practice, 2008, 4: 81-89.
[6] Yuhua Qian, Jiye Liang, Chuangyin Dang, Haiyun Zhang, Jianmin Ma. On the evaluation of the decision performance of an incomplete decision table. Data & Knowledge Engineering. 2008, 65(3):373-400.
[5] Yuhua Qian, Jiye Liang. Combination Entropy & Combination Granulation in Rough Set Theory. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 2008, 16(2): 179-193.
[4] Junhong Wang, Jiye Liang, Yuhua Qian, Chuangyin Dang. Uncertainty measure of rough sets based on a knowledge granulation of incomplete information systems. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 2008, 16(2): 233-244.
[3] Yuhua Qian, Jiye Liang, Deyu Li, Haiyun Zhang, Chuangyin Dang. Measures for evaluating the decision performance of a decision table in rough set theory. Information Sciences, 2008, 178(1): 181-202.
[2] Yuhua Qian, Jiye Liang. Positive approximation and rule extracting in incomplete information systems. International Journal of Computer Science and Knowledge Engineering, 2008, 2(1) : 51-63.
[1] Jiye Liang, Baoli Wang, Yuhua Qian, Deyu Li. An algorithm of constructing maximal consistent block. International Journal of Computer Science and Knowledge Engineering, 2(1) (2008) 11-18.
2007 (2 篇)
[2] Kaishe Qu, Yanhui Zhai, Jiye Liang, Deyu Li. Representation and extension of rough set theory Based on formal concept analysis. Journal of Software, 2007, 18(9): 2174-2182.
[1] Kaishe Qu, Yanhui Zhai, Jiye Liang. Study of decision implications based on formal concept analysis. International Journal of General Systems, 2007, 36(2), 147-156.
2006 (1 篇)
[1] Jiye Liang, Zhongzhi Shi, Deyu Li, M. J. Wireman. The information entropy, rough entropy and knowledge granulation in incomplete information systems. International Journal of General Systems, 2006, 34(1): 641-654.
2004 (3 篇)
[3] Jiye Liang, Junhong Wang. An algorithm for extracting rule-generating sets based on concept lattice. Journal of Computer Research and Development, 2004, 41(8): 1339-1344.
[2] Kaishe Qu, Jiye Liang, Junhong Wang, Zhongzhi Shi. The algebraic properties of concept lattice. Journal of Systems Science and Information, 2004, 3 (2): 36-47.
[1] Jiye Liang, Zhongzhi Shi. The information entropy, rough entropy and knowledge granulation in rough set theory. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2004, 12 (1) : 37-46.
2003 (2 篇)
[2] Feilong Cao, Zongben Xu, Jiye Liang. Approximation of polynomial functions by neural network: construction of network and algorithm of approximation. Chinese Journal of Computers, 2003, 26(8): 906-912.
[1] Jiye Liang, Zhongzhi Shi, Deyu Li. Applications of inclusion degree in rough set theory. International Journal of Computational Cognition, 2003, 1 (2): 67-78.
2002 (3 篇)
[3] Jiye Liang, K. S. Chin, Chuangyin Dang, C. M. YAM. Richard. A new method for measuring uncertainty and fuzziness in rough set theory. International Journal of General Systems, 2002, 31(4): 331-342
[2] Zongben Xu, Jiye Liang, Chuanyin Dang, K. S. Chin.Inclusion degree: a perspective on measures for rough set data analysis. Information Sciences, 2002, 141 (3-4): 229-238.
[1] Jiye Liang, Zongben Xu. The algorithm on knowledge reduction in incomplete information systems. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2002, 10 (1) : 95-103.
2001 (3 篇)
[3] Jiye Liang, Kaishe Qu.Information measures of roughness of knowledge and rough sets in incomplete information systems. Journal of System Science and System Engineering, 2001, 10(4): 418-424.
[2] Jiye Liang, Zongben Xu, Yuexiang Li. Inclusion degree and measures of rough set data analysis. Chinese Journal of Computers,2001, 24(5): 544-547.
[1] Jiye Liang, Kaishe Qu, Zongben Xu. Reduction of attribute in information systems. Systems Engineering-Theory & Practice, 2001,12: 76-80.