Three-way granular computing, rough sets, and formal concept analysis
Tóm tắt
Từ khóa
Tài liệu tham khảo
Afridi, 2018, A three-way clustering approach for handling missing data using GTRS, Int. J. Approx. Reason., 98, 11, 10.1016/j.ijar.2018.04.001
Chen, 2008, A multiview approach for intelligent data analysis based on data operators, Inf. Sci., 178, 1, 10.1016/j.ins.2007.08.011
Ciucci, 2011, Orthopairs: a simple and widely used way to model uncertainty, Fundam. Inform., 108, 287, 10.3233/FI-2011-424
Dubois, 2007, A possibility-theoretic view of formal concept analysis, Fundam. Inform., 75, 195
Dubois, 2012, From Blanché hexagonal organization of concepts to formal concept analysis and possibility theory, Log. Univers., 6, 149, 10.1007/s11787-011-0039-0
Düntsch, 2002, Modal-style operators in qualitative data analysis, 155
Fan, 2018, A conflict analysis model based on three-way decisions, vol. 11103, 522
Fang, 2019, Cost-sensitive approximate attribute reduction with three-way decisions, Int. J. Approx. Reason., 104, 148, 10.1016/j.ijar.2018.11.003
Feng, 2017, Uncertainty and reduction of variable precision multigranulation fuzzy rough sets based on three-way decisions, Int. J. Approx. Reason., 85, 36, 10.1016/j.ijar.2017.03.002
Ganter, 1999
Horiuchi, 2020, Trice-valued fuzzy sets: mathematical model for three-way decisions, Inf. Sci., 507, 574, 10.1016/j.ins.2018.09.007
Hu, 2014, Three-way decisions space and three-way decisions, Inf. Sci., 281, 21, 10.1016/j.ins.2014.05.015
Hu, 2017, On two novel types of three-way decisions in three-way decision spaces, Int. J. Approx. Reason., 82, 285, 10.1016/j.ijar.2016.12.007
Jia, 2019, Three-way decisions based feature fusion for Chinese irony detection, Int. J. Approx. Reason., 113, 324, 10.1016/j.ijar.2019.07.010
Jiang, 2018, Effectiveness measures in movement-based three-way decisions, Knowl.-Based Syst., 160, 136, 10.1016/j.knosys.2018.07.008
Kagan, 2009
Landowski, 2020, Shadowed numbers and their standard and multidimensional arithmetic, Inf. Sci., 507, 485, 10.1016/j.ins.2018.11.047
Lang, 2019, Three-way group conflict analysis based on Pythagorean fuzzy set theory, IEEE Trans. Fuzzy Syst.
Liang, 2020, Risk appetite dual hesitant fuzzy three-way decisions with TODIM, Inf. Sci., 507, 585, 10.1016/j.ins.2018.12.017
Li, 2017, Cost-sensitive sequential three-way decision modeling using a deep neural network, Int. J. Approx. Reason., 85, 68, 10.1016/j.ijar.2017.03.008
Li, 2017, Three-way cognitive concept learning via multi-granularity, Inf. Sci., 378, 244, 10.1016/j.ins.2016.04.051
Li, 2019, Multi-objective attribute reduction in three-way decision-theoretic rough set model, Int. J. Approx. Reason., 105, 327, 10.1016/j.ijar.2018.12.008
Li, 2019, Three-way fuzzy matroids and granular computing, Int. J. Approx. Reason., 114, 44, 10.1016/j.ijar.2019.08.003
Li, 2017, Generalized matroids based on three-way decision models, Int. J. Approx. Reason., 90, 192, 10.1016/j.ijar.2017.07.012
Liu, 2016, A novel three-way decision model based on incomplete information system, Knowl.-Based Syst., 91, 32, 10.1016/j.knosys.2015.07.036
Ma, 2018, Three-way decision perspectives on class-specific attribute reducts, Inf. Sci., 450, 227, 10.1016/j.ins.2018.03.049
Ma, 2019, Cost-sensitive three-way class-specific attribute reduction, Int. J. Approx. Reason., 105, 153, 10.1016/j.ijar.2018.11.014
Maldonado, 2020, Credit scoring using three-way decisions with probabilistic rough sets, Inf. Sci., 507, 700, 10.1016/j.ins.2018.08.001
Mao, 2018, Relationships between three-way concepts and classical concepts, J. Intell. Fuzzy Syst., 35, 1063, 10.3233/JIFS-17530
Missaoui, 2008, Generating positive and negative exact rules using formal concept analysis: problems and solutions, vol. 4933, 169
Pawlak, 1991
Qi, 2016, The connections between three-way and classical concept lattices, Knowl.-Based Syst., 91, 143, 10.1016/j.knosys.2015.08.006
Qian, 2020, Sequential three-way decisions via multi-granularity, Inf. Sci., 507, 606, 10.1016/j.ins.2019.03.052
Qian, 2019, Multigranulation sequential three-way decisions based on multiple thresholds, Int. J. Approx. Reason., 105, 396, 10.1016/j.ijar.2018.12.007
Qiao, 2020, On decision evaluation functions in generalized three-way decision spaces, Inf. Sci., 507, 733, 10.1016/j.ins.2018.07.032
Ren, 2016, The attribute reductions of three-way concept lattices, Knowl.-Based Syst., 99, 92, 10.1016/j.knosys.2016.01.045
Sakai, 2020, NIS-apriori-based rule generation with three-way decisions and its application system in SQL, Inf. Sci., 507, 755, 10.1016/j.ins.2018.09.008
Singh, 2017, Three-way fuzzy concept lattice representation using neutrosophic set, Int. J. Mach. Learn. Cybern., 8, 69, 10.1007/s13042-016-0585-0
Sun, 2020, Three-way decision making approach to conflict analysis and resolution using probabilistic rough set over two universes, Inf. Sci., 807, 809, 10.1016/j.ins.2019.05.080
Sun, 2018, Three-way decisions approach to multiple attribute group decision making with linguistic information-based decision-theoretic rough fuzzy set, Int. J. Approx. Reason., 93, 424, 10.1016/j.ijar.2017.11.015
Wang, 2018, CE3: a three-way clustering method based on mathematical morphology, Knowl.-Based Syst., 155, 54, 10.1016/j.knosys.2018.04.029
Wei, 2019, A bibliometric profile of research on rough sets, vol. 11499, 534
Wille, 1982, Restructuring lattice theory: an approach based on hierarchies of concepts, 445
Wong, 1995, On modeling uncertainty with interval structures, Comput. Intell., 11, 406, 10.1111/j.1467-8640.1995.tb00041.x
Xu, 2020, Three-way confusion matrix for classification: a measure driven view, Inf. Sci., 507, 772, 10.1016/j.ins.2019.06.064
Yan, 2019, A three-way decision ensemble method for imbalanced data oversampling, Int. J. Approx. Reason., 107, 1, 10.1016/j.ijar.2018.12.011
Yang, 2019, A sequential three-way approach to multi-class decision, Int. J. Approx. Reason., 104, 108, 10.1016/j.ijar.2018.11.001
Yang, 2019, A temporal-spatial composite sequential approach of three-way granular computing, Inf. Sci., 486, 171, 10.1016/j.ins.2019.02.048
Yao, 2019, The impact of rough set conferences, vol. 11499, 383
Yao, 2015, Web-based medical decision support systems for three-way medical decision making with game-theoretic rough sets, IEEE Trans. Fuzzy Syst., 23, 3, 10.1109/TFUZZ.2014.2360548
Yao, 2004, A comparative study of formal concept analysis and rough set theory in data analysis, vol. 3066, 59
Yao, 2010, Three-way decisions with probabilistic rough sets, Inf. Sci., 180, 341, 10.1016/j.ins.2009.09.021
Yao, 2012, An outline of a theory of three-way decisions, vol. 7413, 1
Yao, 2016, Three-way decisions and cognitive computing, Cogn. Comput., 8, 543, 10.1007/s12559-016-9397-5
Yao, 2017, Interval sets and three-way concept analysis in incomplete contexts, Int. J. Mach. Learn. Cybern., 8, 3, 10.1007/s13042-016-0568-1
Yao, 2018, Three-way decision and granular computing, Int. J. Approx. Reason., 103, 107, 10.1016/j.ijar.2018.09.005
Yao, 2019, Three-way conflict analysis: reformulations and extensions of the Pawlak model, Knowl.-Based Syst., 180, 26, 10.1016/j.knosys.2019.05.016
Yao, 2018, Formal concept analysis, rough set analysis and granular computing based on three-way decisions, J. Northwest Univ. Nat. Sci., 48, 477
Yu, 2018, Three-way decisions and three-way clustering, vol. 11103, 13
Yu, 2019, A three-way clustering method based on an improved DBSCAN algorithm, Phys. A, Stat. Mech. Appl., 535, 10.1016/j.physa.2019.122289
Yu, 2019, A three-way cluster ensemble approach for large-scale data, Int. J. Approx. Reason., 115, 32, 10.1016/j.ijar.2019.09.001
Yu, 2020, An active three-way clustering method via low-rank matrices for multi-view data, Inf. Sci., 507, 823, 10.1016/j.ins.2018.03.009
Yue, 2020, Fuzzy neighborhood covering for three-way classification, Inf. Sci., 507, 795, 10.1016/j.ins.2018.07.065
Zhang, 2020, Multi-granularity three-way decisions with adjustable hesitant fuzzy linguistic multigranulation decision-theoretic rough sets over two universes, Inf. Sci., 507, 665, 10.1016/j.ins.2019.01.033
Zhang, 2019, Three-way group decisions with interval-valued decision-theoretic rough sets based on aggregating inclusion measures, Int. J. Approx. Reason., 110, 31, 10.1016/j.ijar.2019.03.011
Zhang, 2020, Sequential three-way decision based on multi-granular autoencoder features, Inf. Sci., 507, 630, 10.1016/j.ins.2019.03.061
Zhang, 2020, A general model of decision-theoretic three-way approximations of fuzzy sets based on a heuristic algorithm, Inf. Sci., 507, 522, 10.1016/j.ins.2018.10.051
Zhang, 2017, Three-way attribute reducts, Int. J. Approx. Reason., 88, 401, 10.1016/j.ijar.2017.06.008
Zhang, 2020, Three-way class-specific attribute reducts from the information viewpoint, Inf. Sci., 507, 840, 10.1016/j.ins.2018.06.001
Zhang, 2020, Game theoretic approach to shadowed sets: a three-way tradeoff perspective, Inf. Sci., 507, 540, 10.1016/j.ins.2018.07.058
Zhang, 2019, A cost-sensitive three-way combination technique for ensemble learning in sentiment classification, Int. J. Approx. Reason., 105, 85, 10.1016/j.ijar.2018.10.019
Zhang, 2018, A three-way selective ensemble model for multi-label classification, Int. J. Approx. Reason., 103, 394, 10.1016/j.ijar.2018.10.009
Zhao, 2016, Fuzzy probabilistic rough sets and their corresponding three-way decisions, Knowl.-Based Syst., 91, 126, 10.1016/j.knosys.2015.09.018
Zhao, 2020, Three-way decisions with decision-theoretic rough sets in multiset-valued information tables, Inf. Sci., 507, 684, 10.1016/j.ins.2018.08.024