A survey on granular computing and its uncertainty measure from the perspective of rough set theory
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Guoyin Wang | Qinghua Zhang | Yunlong Cheng | Fan Zhao | Guoyin Wang | Qinghua Zhang | Yunlong Cheng | Fan Zhao
[1] Ansheng Deng,et al. Covering rough set-based three-way decision feature selection , 2018, 2018 Tenth International Conference on Advanced Computational Intelligence (ICACI).
[2] Chen Jie,et al. A Novel Multi-radius Neighborhood Rough Set Weighted Feature Extraction Method for Remote Sensing Image Classification , 2018 .
[3] Dazi Li,et al. A hybrid fault diagnosis method based on fuzzy signed directed graph and neighborhood rough set , 2017, 2017 6th Data Driven Control and Learning Systems (DDCLS).
[4] Yiyu Yao,et al. Covering based rough set approximations , 2012, Inf. Sci..
[5] Nouman Azam. Formulating three-way decision making with game-theoretic rough sets , 2013, 2013 26th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE).
[6] Christine Zarges,et al. A distributed rough set theory based algorithm for an efficient big data pre-processing under the spark framework , 2017, 2017 IEEE International Conference on Big Data (Big Data).
[7] Lin Wang,et al. Prediction of rock burst in underground caverns based on rough set and extensible comprehensive evaluation , 2019, Bulletin of Engineering Geology and the Environment.
[8] Urszula Wybraniec-Skardowska,et al. Extensions and Intentions in the Ruogh Set Theory , 1998, Inf. Sci..
[9] Du Xiaoping,et al. Uncertainty Measures in Interval Ordered Information Systems , 2013 .
[10] Bingzhen Sun,et al. Probabilistic rough set over two universes and rough entropy , 2012, Int. J. Approx. Reason..
[11] Huang Bing. Rough Entropy Based on Generalized Rough Sets Covering Reduction , 2004 .
[12] George J. Klir,et al. Uncertainty-Based Information , 1999 .
[13] Jun Hu,et al. Covering Based Generalized Rough Fuzzy Set Model: Covering Based Generalized Rough Fuzzy Set Model , 2010 .
[14] Yiyu Yao,et al. Probabilistic approaches to rough sets , 2003, Expert Syst. J. Knowl. Eng..
[15] Wang Guo,et al. Decision Table Reduction based on Conditional Information Entropy , 2002 .
[16] Inès Saad,et al. Dominance-based rough set approach for group decisions , 2016, Eur. J. Oper. Res..
[17] William Zhu,et al. Relationship between generalized rough sets based on binary relation and covering , 2009, Inf. Sci..
[18] Wei Li,et al. Granule structures, distances and measures in neighborhood systems , 2019, Knowl. Based Syst..
[19] Jianhua Dai,et al. An Uncertainty Measure for Incomplete Decision Tables and Its Applications , 2013, IEEE Transactions on Cybernetics.
[20] Jiye Liang,et al. Fusing Monotonic Decision Trees , 2015, IEEE Transactions on Knowledge and Data Engineering.
[21] Tzung-Pei Hong,et al. Mining fuzzy β-certain and β-possible rules from quantitative data based on the variable precision rough-set model , 2007, Expert Syst. Appl..
[22] Fan Min,et al. Frequent pattern discovery with tri-partition alphabets , 2020, Inf. Sci..
[23] Yiyu Yao,et al. Decision-Theoretic Rough Set Models , 2007, RSKT.
[24] Richard Weber,et al. Credit scoring using three-way decisions with probabilistic rough sets , 2020, Inf. Sci..
[25] Jixiang Sun,et al. A new uncertainty measure in ordered information systems , 2010, 2010 2nd International Conference on Advanced Computer Control.
[26] Arputharaj Kannan,et al. An intelligent knowledge mining model for kidney cancer using rough set theory , 2012, Int. J. Bioinform. Res. Appl..
[27] Zengtai Gong,et al. Variable Precision Rough Set Model for Incomplete Information Systems and Its Beta-Reducts , 2013 .
[28] Didier Dubois,et al. Putting Rough Sets and Fuzzy Sets Together , 1992, Intelligent Decision Support.
[29] Yiyu Yao,et al. A Three-Way Decision Approach to Email Spam Filtering , 2010, Canadian Conference on AI.
[30] Chen Degang,et al. A new approach to attribute reduction of consistent and inconsistent covering decision systems with covering rough sets , 2007 .
[31] Settimo Termini,et al. A Definition of a Nonprobabilistic Entropy in the Setting of Fuzzy Sets Theory , 1972, Inf. Control..
[32] Caihui Liu,et al. On multi-granulation covering rough sets , 2014, Int. J. Approx. Reason..
[33] Jing-Yu Yang,et al. Dominance-based rough set approach to incomplete interval-valued information system , 2009, Data Knowl. Eng..
[34] Guoyin Wang,et al. A Novel Three-way decision model with decision-theoretic rough sets using utility theory , 2018, Knowl. Based Syst..
[35] Masoud Mehdizadeh,et al. Integrating ABC analysis and rough set theory to control the inventories of distributor in the supply chain of auto spare parts , 2020, Comput. Ind. Eng..
[36] Qinghua Zhang,et al. A Sequential Three-Way Decision Model With Intuitionistic Fuzzy Numbers , 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[37] Krishna R. Pattipati,et al. A Rough Set-Theory-Based Fault-Diagnosis Method for an Electric Power-Steering System , 2018, IEEE/ASME Transactions on Mechatronics.
[38] Yu Feng,et al. Evaluation of power quality performance based on rough set and evidence theory , 2015 .
[39] Xiaohong Zhang,et al. Two Types of Intuitionistic Fuzzy Covering Rough Sets and an Application to Multiple Criteria Group Decision Making , 2018, Symmetry.
[40] Ronald R. Yager,et al. Decision making under measure-based granular uncertainty , 2018 .
[41] Nouman Azam,et al. Analyzing uncertainties of probabilistic rough set regions with game-theoretic rough sets , 2014, Int. J. Approx. Reason..
[42] Salvatore Greco,et al. Rough approximation of a preference relation by dominance relations , 1999, Eur. J. Oper. Res..
[43] J. Neumann,et al. Theory of games and economic behavior , 1945, 100 Years of Math Milestones.
[44] Salvatore Greco,et al. Rough sets methodology for sorting problems in presence of multiple attributes and criteria , 2002, Eur. J. Oper. Res..
[45] Khaled Riad,et al. Robust breast cancer prediction system based on rough set theory at National Cancer Institute of Egypt , 2018, Comput. Methods Programs Biomed..
[46] Thomas E. McKee. Developing a bankruptcy prediction model via rough sets theory , 2000 .
[47] Yuhua Qian,et al. NMGRS: Neighborhood-based multigranulation rough sets , 2012, Int. J. Approx. Reason..
[48] Yan-Bin Cui. Optimization research on the energy-conserving generation dispatch based on rough sets , 2009, 2009 International Conference on Machine Learning and Cybernetics.
[49] W. Zakowski. APPROXIMATIONS IN THE SPACE (U,π) , 1983 .
[50] Witold Pedrycz,et al. Selecting Discrete and Continuous Features Based on Neighborhood Decision Error Minimization , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[51] Salvatore Greco,et al. Rough sets theory for multicriteria decision analysis , 2001, Eur. J. Oper. Res..
[52] Xin Yang,et al. Pseudolabel Decision-Theoretic Rough Set , 2019, Mathematical Problems in Engineering.
[53] Jiye Liang,et al. Combination Entropy and Combination Granulation in Rough Set Theory , 2008, Int. J. Uncertain. Fuzziness Knowl. Based Syst..
[54] Yo-Ping Huang,et al. A four-way decision-making approach using interval-valued fuzzy sets, rough set and granular computing: a new approach in data classification and decision-making , 2020, Granular Computing.
[55] Guoyin Wang,et al. Research on approximation set of rough set based on fuzzy similarity , 2017, J. Intell. Fuzzy Syst..
[56] P. Ducange,et al. Multi-objective evolutionary design of granular rule-based classifiers , 2016 .
[57] Guoyin Wang,et al. Monotonic uncertainty measures for attribute reduction in probabilistic rough set model , 2015, Int. J. Approx. Reason..
[58] Yiyu Yao,et al. Three-way Investment Decisions with Decision-theoretic Rough Sets , 2011, Int. J. Comput. Intell. Syst..
[59] Shuang Liu,et al. Fuzziness based on covering generalized rough sets , 2012, 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery.
[60] Zhifei Zhang,et al. A three-way decisions model with probabilistic rough sets for stream computing , 2017, Int. J. Approx. Reason..
[61] Jingtao Yao,et al. Analysis of Data-Driven Parameters in Game-Theoretic Rough Sets , 2011, RSKT.
[62] Sankar K. Pal,et al. Neighborhood Rough Filter and Intuitionistic Entropy in Unsupervised Tracking , 2018, IEEE Transactions on Fuzzy Systems.
[63] Nouman Azam,et al. Classifying Attributes with Game-Theoretic Rough Sets , 2012 .
[64] R. Suja Mani Malar,et al. Brain tumor detection using optimisation classification based on rough set theory , 2018, Cluster Computing.
[65] Prasenjit Mandal,et al. Multi-granulation fuzzy decision-theoretic rough sets and bipolar-valued fuzzy decision-theoretic rough sets and their applications , 2018, Granular Computing.
[66] Mingliang Suo,et al. Fault diagnosis of satellite power system using variable precision fuzzy neighborhood rough set , 2017, 2017 36th Chinese Control Conference (CCC).
[67] Guoyin Wang,et al. A novel emotion recognition approach based on ensemble learning and rough set theory , 2010, 9th IEEE International Conference on Cognitive Informatics (ICCI'10).
[68] Sudarsan Nanda,et al. Fuzziness in rough sets , 2000, Fuzzy Sets Syst..
[69] Neeraj Kumar,et al. Fuzzy rough set based energy management system for self-sustainable smart city , 2018 .
[70] Sankar K. Pal,et al. Generalized Rough Sets, Entropy, and Image Ambiguity Measures , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[71] Nouman Azam,et al. Web-Based Medical Decision Support Systems for Three-Way Medical Decision Making With Game-Theoretic Rough Sets , 2015, IEEE Transactions on Fuzzy Systems.
[72] Bao Qing Hu,et al. A fast heuristic attribute reduction approach to ordered decision systems , 2018, Eur. J. Oper. Res..
[73] E. Rowland. Theory of Games and Economic Behavior , 1946, Nature.
[74] Zhang Wen-xiu. Fuzziness of Covering Generalized Rough Sets , 2006 .
[75] Lotfi A. Zadeh,et al. Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic , 1997, Fuzzy Sets Syst..
[76] Xia Xiao,et al. Three-way group decision making based on multigranulation fuzzy decision-theoretic rough set over two universes , 2017, Int. J. Approx. Reason..
[77] Yiyu Yao,et al. Granular Computing: basic issues and possible solutions , 2007 .
[78] Witold Pedrycz,et al. Information measure of absolute and relative quantification in double‐quantitative decision‐theoretic rough set model , 2018, The Journal of Engineering.
[79] Shahryar Rahnamayan,et al. Majority voting for discrete population-based optimization algorithms , 2018, Soft Computing.
[80] Guoyin Wang,et al. A general model of decision-theoretic three-way approximations of fuzzy sets based on a heuristic algorithm , 2020, Inf. Sci..
[81] Tingting Zheng,et al. Uncertainty measures of Neighborhood System-based rough sets , 2015, Knowl. Based Syst..
[82] Witold Pedrycz,et al. Neighborhood rough sets based multi-label classification for automatic image annotation , 2013, Int. J. Approx. Reason..
[83] Yiyu Yao,et al. A Partition Model of Granular Computing , 2004, Trans. Rough Sets.
[84] T. Y. Lin,et al. Neighborhood systems and relational databases , 1988, CSC '88.
[85] Jiye Liang,et al. Incomplete Multigranulation Rough Set , 2010, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.
[86] Z. Zou,et al. Analysis and Forecasting of the Energy Consumption in Wastewater Treatment Plant , 2019, Mathematical Problems in Engineering.
[87] Nouman Azam,et al. Game-theoretic rough sets for recommender systems , 2014, Knowl. Based Syst..
[88] Guoyin Wang,et al. A Decision-Theoretic Rough Set Approach for Dynamic Data Mining , 2015, IEEE Transactions on Fuzzy Systems.
[89] Lu Wang,et al. Multi-objective attribute reduction in three-way decision-theoretic rough set model , 2019, Int. J. Approx. Reason..
[90] Guoyin Wang,et al. A Novel Emotion Recognition Method Based on Ensemble Learning and Rough Set Theory , 2011, Int. J. Cogn. Informatics Nat. Intell..
[91] Yu Xue,et al. Gene selection for tumor classification using neighborhood rough sets and entropy measures , 2017, J. Biomed. Informatics.
[92] Jiye Liang,et al. Set-valued ordered information systems , 2009, Inf. Sci..
[93] Xin Fan,et al. Feature selection for imbalanced data based on neighborhood rough sets , 2019, Inf. Sci..
[94] Nouman Azam,et al. Multiple Criteria Decision Analysis with Game-Theoretic Rough Sets , 2012, RSKT.
[95] Jerzy W. Grzymala-Busse,et al. Rough Sets , 1995, Commun. ACM.
[96] Georg Peters,et al. Analyzing IT business values - A Dominance based Rough Sets Approach perspective , 2011, Expert Syst. Appl..
[97] Guoyin Wang,et al. The uncertainty of probabilistic rough sets in multi-granulation spaces , 2016, Int. J. Approx. Reason..
[98] Jiye Liang,et al. A new method for measuring uncertainty and fuzziness in rough set theory , 2002, Int. J. Gen. Syst..
[99] Andrzej Skowron,et al. Rough sets: Some extensions , 2007, Inf. Sci..
[100] Christine Zarges,et al. A Distributed Rough Set Theory Algorithm based on Locality Sensitive Hashing for an Efficient Big Data Pre-processing , 2018, 2018 IEEE International Conference on Big Data (Big Data).
[101] Bo Zhang,et al. Theory and Applications of Problem Solving , 1992 .
[102] Yiyu Yao. Granular Computing using Neighborhood Systems , 1999 .
[103] Theresa Beaubouef,et al. Information-Theoretic Measures of Uncertainty for Rough Sets and Rough Relational Databases , 1998, Inf. Sci..
[104] Shi-Jinn Horng,et al. Dynamic variable precision rough set approach for probabilistic set-valued information systems , 2017, Knowl. Based Syst..
[105] Xinying Xu,et al. High precision image segmentation algorithm using SLIC and neighborhood rough set , 2018, Multimedia Tools and Applications.
[106] Bing Huang,et al. Graded dominance interval-based fuzzy objective information systems , 2011, Knowl. Based Syst..
[107] Xuhui Chen,et al. An entropy-based uncertainty measurement approach in neighborhood systems , 2014, Inf. Sci..
[108] Zhong Yuan,et al. Hybrid data-driven outlier detection based on neighborhood information entropy and its developmental measures , 2018, Expert Syst. Appl..
[109] Javad Hamidzadeh,et al. Detection of Web site visitors based on fuzzy rough sets , 2018, Soft Comput..
[110] Nouman Azam,et al. Game-Theoretic Rough Sets for Feature Selection , 2013, Rough Sets and Intelligent Systems.
[111] Andrzej Skowron,et al. Local rough set: A solution to rough data analysis in big data , 2018, Int. J. Approx. Reason..
[112] Jiye Liang,et al. Local multigranulation decision-theoretic rough sets , 2017, Int. J. Approx. Reason..
[113] Yuhua Qian,et al. Three-way decisions with reflexive probabilistic rough fuzzy sets , 2018, Granular Computing.
[114] Guoyin Wang,et al. Uncertainty Measure of Covering Generated Rough Set , 2006, 2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops.
[115] Lotfi A. Zadeh,et al. Some reflections on soft computing, granular computing and their roles in the conception, design and utilization of information/intelligent systems , 1998, Soft Comput..
[116] Yiyu Yao,et al. Dynamic probabilistic rough sets with incomplete data , 2017, Inf. Sci..
[117] Rudolf Wille,et al. Restructuring Lattice Theory: An Approach Based on Hierarchies of Concepts , 2009, ICFCA.
[118] Wojciech Ziarko,et al. Variable Precision Rough Set Model , 1993, J. Comput. Syst. Sci..
[119] Jian-Ping Li,et al. Medical data classification scheme based on hybridized SMOTE technique (HST) and Rough Set technique (RST) , 2017, 2017 IEEE 2nd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA).
[120] Yiyu Yao,et al. Relational Interpretations of Neigborhood Operators and Rough Set Approximation Operators , 1998, Inf. Sci..
[121] Muhammad Ali,et al. Variable precision multi decision λ-soft dominance based rough sets and their applications in conflict problems , 2019, J. Intell. Fuzzy Syst..
[122] Guoyin Wang,et al. A Dynamic Three-way Decision Model based on the Updating of Attribute Values , 2017, Knowl. Based Syst..
[123] Weihua Xu,et al. Generalized multigranulation rough sets and optimal granularity selection , 2017, GRC 2017.
[124] Qinghua Hu,et al. An improved attribute reduction scheme with covering based rough sets , 2015, Appl. Soft Comput..
[125] Zengtai Gong,et al. The further investigation of covering-based rough sets: Uncertainty characterization, similarity measure and generalized models , 2010, Inf. Sci..
[126] S. K. Michael Wong,et al. Rough Sets: Probabilistic versus Deterministic Approach , 1988, Int. J. Man Mach. Stud..
[127] Jiye Liang,et al. The Information Entropy, Rough Entropy And Knowledge Granulation In Rough Set Theory , 2004, Int. J. Uncertain. Fuzziness Knowl. Based Syst..
[128] Bao Qing Hu,et al. Three-way decisions with decision-theoretic rough sets in multiset-valued information tables , 2020, Inf. Sci..
[129] Liang Liu,et al. Attribute selection based on a new conditional entropy for incomplete decision systems , 2013, Knowl. Based Syst..
[130] Yiyu Yao,et al. Probabilistic rough set approximations , 2008, Int. J. Approx. Reason..
[131] Huayou Chen,et al. On compatibility of uncertain additive linguistic preference relations and its application in the group decision making , 2011, Knowl. Based Syst..
[132] Lotfi A. Zadeh,et al. Fuzzy sets and information granularity , 1996 .
[133] Ai Lab. ON THE RELATIONSHIPS BETWEEN INFORMATION ENTROPY AND ROUGHNESS OF KNOWLEDGE IN ROUGH SET THEORY , 1998 .
[134] Jingtao Yao,et al. Game-Theoretic Rough Sets , 2011, Fundam. Informaticae.
[135] Andrzej Skowron,et al. Interactive granular computing , 2016 .
[136] S. Greco,et al. Axiomatization of utility, outranking and decision-rule preference models for multiple-criteria classification problems under partial inconsistency with the dominance principle , 2002 .
[137] Dan Liu,et al. Safety monitoring data classification method based on wireless rough network of neighborhood rough sets , 2019 .
[138] Jingtao Yao,et al. Rule Measures Tradeoff Using Game-Theoretic Rough Sets , 2012, Brain Informatics.
[139] Shunxiang Wu,et al. Online multi-label streaming feature selection based on neighborhood rough set , 2018, Pattern Recognit..
[140] Alan Smaill,et al. Time granularity in simulation models of ecological systems , 1995, IJCAI 1995.
[141] Gangqiang Zhang,et al. Uncertainty measurement for a covering information system , 2018, Soft Computing.
[142] Tuan-Fang Fan,et al. Dominance-based fuzzy rough set analysis of uncertain and possibilistic data tables , 2011, Int. J. Approx. Reason..
[143] Jianlong Qiu,et al. Knowledge Granulation Based Roughness Measure for Neighborhood Rough Sets , 2013, 2013 Third International Conference on Intelligent System Design and Engineering Applications.
[144] T. Lin. Granulation and nearest neighborhoods: rough set approach , 2001 .
[145] Fei-Yue Wang,et al. Reduction and axiomization of covering generalized rough sets , 2003, Inf. Sci..
[146] Wen-Xiu Zhang,et al. Uncertainty Measures of Roughness of Knowledge and Rough Sets in Ordered Information Systems , 2007, ICIC.
[147] Ming-Wen Shao,et al. A unified information measure for general binary relations , 2017, Knowl. Based Syst..
[148] Bao Qing Hu,et al. Probabilistic graded rough set and double relative quantitative decision-theoretic rough set , 2016, Int. J. Approx. Reason..
[149] Miao Duo,et al. An Information Representation of the Concepts and Operations in Rough Set Theory , 1999 .
[150] Yan Zhang,et al. Three-way Email Spam Filtering with Game-theoretic Rough Sets , 2019, 2019 International Conference on Computing, Networking and Communications (ICNC).
[151] Salem Chakhar,et al. Spare parts classification in industrial manufacturing using the dominance-based rough set approach , 2017, Eur. J. Oper. Res..
[152] Jiye Liang,et al. Multigranulation rough sets: From partition to covering , 2013, Inf. Sci..
[153] William Zhu,et al. Topological approaches to covering rough sets , 2007, Inf. Sci..
[154] Jorge García Duque,et al. A flexible semantic inference methodology to reason about user preferences in knowledge-based recommender systems , 2008, Knowl. Based Syst..
[155] Wang Guo. Covering Based Generalized Rough Fuzzy Set Model , 2010 .
[156] Masahiro Inuiguchi,et al. Variable-precision dominance-based rough set approach and attribute reduction , 2009, Int. J. Approx. Reason..
[157] Li Zhang,et al. Incremental updating knowledge in neighborhood multigranulation rough sets under dynamic granular structures , 2019, Knowl. Based Syst..