# | Title | Journal | Year | Citations |
---|
|
1 | The concept of a linguistic variable and its application to approximate reasoning—I | Information Sciences | 1975 | 10,581 |
2 | GSA: A Gravitational Search Algorithm | Information Sciences | 2009 | 5,682 |
3 | The concept of a linguistic variable and its application to approximate reasoning-III | Information Sciences | 1975 | 4,747 |
4 | The concept of a linguistic variable and its application to approximate reasoning—II | Information Sciences | 1975 | 2,291 |
5 | Data-intensive applications, challenges, techniques and technologies: A survey on Big Data | Information Sciences | 2014 | 2,155 |
6 | Similarity relations and fuzzy orderings | Information Sciences | 1971 | 2,143 |
7 | Rudiments of rough sets | Information Sciences | 2007 | 1,790 |
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 | 1,726 |
9 | Teaching–Learning-Based Optimization: An optimization method for continuous non-linear large scale problems | Information Sciences | 2012 | 1,418 |
10 | A survey on optimization metaheuristics | Information Sciences | 2013 | 1,243 |
11 | Three-way decisions with probabilistic rough sets | Information Sciences | 2010 | 1,209 |
12 | An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics | Information Sciences | 2013 | 1,207 |
13 | On the dempster-shafer framework and new combination rules | Information Sciences | 1987 | 1,154 |
14 | A procedure for ordering fuzzy subsets of the unit interval | Information Sciences | 1981 | 1,140 |
15 | A study of particle swarm optimization particle trajectories | Information Sciences | 2006 | 1,138 |
16 | Rough set approach to incomplete information systems | Information Sciences | 1998 | 1,106 |
17 | Fuzzy random variables—I. definitions and theorems | Information Sciences | 1978 | 1,058 |
18 | Black hole: A new heuristic optimization approach for data clustering | Information Sciences | 2013 | 1,044 |
19 | Centroid of a type-2 fuzzy set | Information Sciences | 2001 | 1,035 |
20 | Rough sets: Some extensions | Information Sciences | 2007 | 1,035 |
21 | Is there a need for fuzzy logic? | Information Sciences | 2008 | 1,030 |
22 | An introductory survey of fuzzy control | Information Sciences | 1985 | 984 |
23 | Distance and similarity measures for hesitant fuzzy sets | Information Sciences | 2011 | 978 |
24 | Probabilistic linguistic term sets in multi-attribute group decision making | Information Sciences | 2016 | 970 |
25 | A modified Artificial Bee Colony algorithm for real-parameter optimization | Information Sciences | 2012 | 962 |
26 | From model-based control to data-driven control: Survey, classification and perspective | Information Sciences | 2013 | 947 |
27 | A Note on Z-numbers | Information Sciences | 2011 | 944 |
28 | Toward a generalized theory of uncertainty (GTU)––an outline | Information Sciences | 2005 | 929 |
29 | Networks of constraints: Fundamental properties and applications to picture processing | Information Sciences | 1974 | 899 |
30 | Relational interpretations of neighborhood operators and rough set approximation operators | Information Sciences | 1998 | 870 |
31 | A method based on linguistic aggregation operators for group decision making with linguistic preference relations*1 | Information Sciences | 2004 | 867 |
32 | Large scale evolutionary optimization using cooperative coevolution | Information Sciences | 2008 | 860 |
33 | Neighborhood rough set based heterogeneous feature subset selection | Information Sciences | 2008 | 822 |
34 | Rough sets and Boolean reasoning | Information Sciences | 2007 | 813 |
35 | Ranking fuzzy numbers in the setting of possibility theory | Information Sciences | 1983 | 796 |
36 | A review of fuzzy set aggregation connectives | Information Sciences | 1985 | 772 |
37 | Soft sets and soft groups | Information Sciences | 2007 | 753 |
38 | Intuitionistic preference relations and their application in group decision making☆ | Information Sciences | 2007 | 753 |
39 | Constructive and algebraic methods of the theory of rough sets | Information Sciences | 1998 | 704 |
40 | Uncertain linguistic aggregation operators based approach to multiple attribute group decision making under uncertain linguistic environment | Information Sciences | 2004 | 697 |
41 | Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE | Information Sciences | 2018 | 680 |
42 | Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals | Information Sciences | 2017 | 679 |
43 | On observability of discrete-event systems | Information Sciences | 1988 | 677 |
44 | Evaluation of clustering algorithms for financial risk analysis using MCDM methods | Information Sciences | 2014 | 664 |
45 | Reduction and axiomization of covering generalized rough sets | Information Sciences | 2003 | 623 |
46 | MGRS: A multi-granulation rough set | Information Sciences | 2010 | 621 |
47 | 2D Sine Logistic modulation map for image encryption | Information Sciences | 2015 | 621 |
48 | On the use of cross-validation for time series predictor evaluation | Information Sciences | 2012 | 618 |
49 | A social learning particle swarm optimization algorithm for scalable optimization | Information Sciences | 2015 | 597 |
50 | Image encryption using 2D Logistic-adjusted-Sine map | Information Sciences | 2016 | 594 |