# | Title | Journal | Year | Citations |
---|
1 | The concept of a linguistic variable and its application to approximate reasoning—I | Information Sciences | 1975 | 10,321 |
2 | GSA: A Gravitational Search Algorithm | Information Sciences | 2009 | 5,379 |
3 | The concept of a linguistic variable and its application to approximate reasoning-III | Information Sciences | 1975 | 4,693 |
4 | The concept of a linguistic variable and its application to approximate reasoning—II | Information Sciences | 1975 | 2,251 |
5 | Similarity relations and fuzzy orderings | Information Sciences | 1971 | 2,105 |
6 | Data-intensive applications, challenges, techniques and technologies: A survey on Big Data | Information Sciences | 2014 | 2,076 |
7 | Rudiments of rough sets | Information Sciences | 2007 | 1,756 |
8 | Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power | Information Sciences | 2010 | 1,627 |
9 | Teaching–Learning-Based Optimization: An optimization method for continuous non-linear large scale problems | Information Sciences | 2012 | 1,347 |
10 | A survey on optimization metaheuristics | Information Sciences | 2013 | 1,200 |
11 | An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics | Information Sciences | 2013 | 1,158 |
12 | Three-way decisions with probabilistic rough sets | Information Sciences | 2010 | 1,136 |
13 | A procedure for ordering fuzzy subsets of the unit interval | Information Sciences | 1981 | 1,118 |
14 | On the dempster-shafer framework and new combination rules | Information Sciences | 1987 | 1,117 |
15 | A study of particle swarm optimization particle trajectories | Information Sciences | 2006 | 1,110 |
16 | Rough set approach to incomplete information systems | Information Sciences | 1998 | 1,092 |
17 | Fuzzy random variables—I. definitions and theorems | Information Sciences | 1978 | 1,055 |
18 | Rough sets: Some extensions | Information Sciences | 2007 | 1,024 |
19 | Centroid of a type-2 fuzzy set | Information Sciences | 2001 | 1,019 |
20 | Is there a need for fuzzy logic? | Information Sciences | 2008 | 1,000 |
21 | Black hole: A new heuristic optimization approach for data clustering | Information Sciences | 2013 | 988 |
22 | An introductory survey of fuzzy control | Information Sciences | 1985 | 972 |
23 | Distance and similarity measures for hesitant fuzzy sets | Information Sciences | 2011 | 957 |
24 | A modified Artificial Bee Colony algorithm for real-parameter optimization | Information Sciences | 2012 | 945 |
25 | Toward a generalized theory of uncertainty (GTU)––an outline | Information Sciences | 2005 | 920 |
26 | Probabilistic linguistic term sets in multi-attribute group decision making | Information Sciences | 2016 | 913 |
27 | Networks of constraints: Fundamental properties and applications to picture processing | Information Sciences | 1974 | 897 |
28 | A Note on Z-numbers | Information Sciences | 2011 | 892 |
29 | From model-based control to data-driven control: Survey, classification and perspective | Information Sciences | 2013 | 892 |
30 | Relational interpretations of neighborhood operators and rough set approximation operators | Information Sciences | 1998 | 854 |
31 | A method based on linguistic aggregation operators for group decision making with linguistic preference relations*1 | Information Sciences | 2004 | 849 |
32 | Large scale evolutionary optimization using cooperative coevolution | Information Sciences | 2008 | 834 |
33 | Rough sets and Boolean reasoning | Information Sciences | 2007 | 807 |
34 | Ranking fuzzy numbers in the setting of possibility theory | Information Sciences | 1983 | 791 |
35 | Neighborhood rough set based heterogeneous feature subset selection | Information Sciences | 2008 | 778 |
36 | A review of fuzzy set aggregation connectives | Information Sciences | 1985 | 762 |
37 | Intuitionistic preference relations and their application in group decision making☆ | Information Sciences | 2007 | 741 |
38 | Soft sets and soft groups | Information Sciences | 2007 | 740 |
39 | Constructive and algebraic methods of the theory of rough sets | Information Sciences | 1998 | 698 |
40 | Uncertain linguistic aggregation operators based approach to multiple attribute group decision making under uncertain linguistic environment | Information Sciences | 2004 | 684 |
41 | On observability of discrete-event systems | Information Sciences | 1988 | 659 |
42 | Evaluation of clustering algorithms for financial risk analysis using MCDM methods | Information Sciences | 2014 | 652 |
43 | Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals | Information Sciences | 2017 | 628 |
44 | Reduction and axiomization of covering generalized rough sets | Information Sciences | 2003 | 619 |
45 | Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE | Information Sciences | 2018 | 602 |
46 | MGRS: A multi-granulation rough set | Information Sciences | 2010 | 597 |
47 | 2D Sine Logistic modulation map for image encryption | Information Sciences | 2015 | 595 |
48 | A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem | Information Sciences | 2008 | 577 |
49 | Rules in incomplete information systems | Information Sciences | 1999 | 566 |
50 | The superiority of three-way decisions in probabilistic rough set models | Information Sciences | 2011 | 566 |