Selected Recent Journal Papers in English

[18] Shuyun Yang, Hongying Zhang, Bernard De Baets, Moriba Jah, and Guang Shi, Quantitative dominance-based neighborhood rough sets via fuzzy preference relations, IEEE Transactions on Fuzzy Systems,  29(3), 515-529,2021. (DOI 10.1109/TFUZZ.2019.2955883).

[17] Hongying Zhang, Shuyun Yang,Uncertainty analysis of hierarchical granular structures for multi-granulation typical hesitant fuzzy approximation  space，Iranian Journal  of Fuzzy Systems, 2020, 17(4): 69-84.

[16] Hu Zhao, Hongying Zhang, On hesitant neutrosophic rough set over two universes and its application，Artificial Intelligence Review

 https://doi.org/10.1007/s10462-019-09795-4.

[15] Hongying Zhang, Shuyun Yang, Three-way group decisions with interval-valued decision-theoretic rough sets based on aggregating inclusion measures, International Journal of Approximate Reasoning, 2019, 110: 31-45.

[14] Hongying Zhang, Haijuan Song, Shuyun Yang, Feature selection based on generalized variable precision fuzzy rough set model over two  universes,    International Journal of Machine Learning  and Cybernetics, 2019, 10(5) , 913–924. 

 [13] Hongying Zhang, Haijuan Song, Shuyun Yang, Feature selection based on generalized variable precision $(vartheta,sigma)$- fuzzy rough set model over two universes, International Journal of Machine Learning and Cybernetics, 2017, https://doi.org/10.1007/s13042-017-0770-9.

 [12] Hongying Zhang, Shuyun Yang, Feature selection and approximate reasoning of large-scale set-valued decision tables based on dominance-based quantitative rough sets. Information Scirnces, 2017, 378：328–347 . (SCI: DG7YH)

 [11] Hongying Zhang, Haijuan Song, On simplified axiomatic characterizations of $(vartheta,sigma)$-fuzzy rough approximation operators, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2017, 25(3): 457-476. (SCI: EY8PN)

 [10] Hongying Zhang, Shuyun Yang, Ranking interval sets based on inclusion measures and applications to three-way decisions，Knowledge-Based Systems, 2016, 91: 62-70.( SCI: CZ5CM)

 [09] Hongying Zhang, Shuyun Yang, Inclusion measure for typical hesitant fuzzy sets, the relative similarity measure and fuzzy entropy, Soft Computing, 2016, 20: 1277–1287. (SCI: DG7YH)

[08] Hongying Zhang，Shunyun Yang，On inclusion measures of intuitionistic and interval-valued intuitionistic  fuzzy values and their applications to group decision making，International Journal of Machine Learning and Cybernetics,  2016, 7: 833-843. (SCI: DW7RM)

 [07] Hongying Zhang, Shuyun Yang, Representation of typical hesitant fuzzy rough sets, Journal of Intelligent and Fuzzy Systems, 2016, 31(1): 457-468. (SCI: DP6EB)

 [06] Hongying Zhang, Yee Leung, Lei Zhou, Variable-precision-dominance- based rough set approach to interval-valued information systems. Information Sciences, 2013, 244: 75-91. (SCI：178XD)

 [05] Hongying Zhang, Approaches to group decision making with incomplete information based on power geometric operators and triangular fuzzy AHP, Expert Systems with Applications, 2015, 42(21): 7846-7857. (SCI: CQ7HB)

 [04] Hongying Zhang, Minggao Dong, Jianjun Qi and Wenxiu Zhang, Representations of interval-valued fuzzy T-equivalence relations. Information-An International Interdisciplinary Journal. 2011, 14 (1): 51-63. ( SCI: 739PZ )

 [03] Hongying Zhang, Wenxiu Zhang, Hybrid monotonic inclusion measure and its use in Measuring similarity and distance between fuzzy sets. Fuzzy Sets and Systems. 2009, 160: 107-118. ( SCI: 379TN; EI: 084311655064)

 [02] Hongying Zhang, Wenxiu Zhang, Changlin Mei, Entropy of interval-valued fuzzy setsbased on distance and its relationship with similarity measure. Knowledge-Based Systems. 2009, 22: 449-454. ( SCI：488IC；EI: 20093012210227)

 [01] Hongying Zhang, Wenxiu Zhang, Weizhi Wu, On characterization of generalized interval-valued fuzzy rough sets. International Journal of Approximate Reasoning. 2009, 51: 56-70. ( SCI: 530OA；EI: 20095112552447 )

Selected Recent Peer-Rviewed Journal Papers in Chinese

 [04] Hongying Zhang, Qiuping Ye, Fuzzy rough sets based on new Kernel functions, Chinese Journal of Computer Science, 2017, 44(9): 70-74.

 [03] Hongying Zhang, Minggao Dong. A generalized variable precision rough sets based on normal inclusion measures. Chinese Journal of Engineering Mathematics. 2010, 27(1):37-46.

 [02] Hongying Zhang, Wenxiu Zhang, The axiomatic characterization of a generalized interval-valued fuzzy rough sets. Applied Mathematics, a Journal of Chinese Universities. 2009, 24 (2): 239-248.

 [01] Hongying Zhang, Wenxiu Zhang. Using hybrid monotonic inclusion measure for knowledge reduction in information systems with fuzzy decisions. Chinese Journal of Fuzzy Systems and Mathematics. 2007(6): 141-147.

Selected Recent International Conference Papers in English

 [05] Shuyun Yang, Hongying Zhang, Zhiwei Yue. Inclusion measure and its use in measuring similarity and distance measure between hesitant fuzzy sets, IEEE International Conference on Granular Computing (GrC), Beijing, 2013:  386-390. (EI, CPCI-S)

 [04] Hongying Zhang, Minggao Dong, Jianjun Qi, Fuzzy rough sets based on hybrid monotonic inclusion measures and similarity measures, 2010 Annual Meeting of the North American Fuzzy Information Processing Society, Toronto, Canada, 2010.07.12-07.14. (EI)

 [03] Hongying Zhang, Minggao Dong, Wenxiu Zhang, Xiaoxue Song, Inclusion measure and similarity measure of intuitionistic and interval-valued fuzzy sets, 2007 International Conference on Intelligent Systems and Knowledge

Engineering (ISKE 2007), Southwest Jiaotong Univ, Chengdu, P.R. CHINA, OCT 15-16, 2007, Advances in Intelligent Systems Research, 1387, 2007. (CPCI-S)

 [02] Hongying Zhang, Yajuan Su, A ranking approach with inclusion measure in multiple-attribute interval-valued decision making, 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2007), Toronto, CANADA, MAY 14-16, 2007, Lecture Notes in Artificial Intelligence, Vol 4482, Page: 411-417. (EI, CPCI-S)

 [01] Hongying Zhang, Wenxiu Zhang, Fuzzy-valued transitive inclusion measure, similarity measure and application to approximate reasoning, 2nd International Conference on Rough Sets and Knowledge Technology (RSFDGrC 2007), Toronto, CANADA, MAY 14-16, 2007, Lecture Notes in Artificial Intelligence, Vol 4481, Page: 435-441. (EI, CPCI-S)