| AEDNav: indoor navigation for locating automated external defibrillator | 0 | 0.34 | 2022 |
| Modeling User Feedback: Fuzzy sampling, Portability, and Degree of Annoyance | 0 | 0.34 | 2020 |
| Sampling Using Fuzzy and Crisp Clustering to Improve Recall of Building Comfort Feedback | 1 | 0.38 | 2019 |
| Effect of Maximizing Recall and Agglomeration of Feedback on Accuracy. | 0 | 0.34 | 2019 |
| Clustering Ensemble for Prioritized Sampling Based on Average and Rough Patterns. | 0 | 0.34 | 2017 |
| Meta-clustering of possibilistically segmented retail datasets | 2 | 0.43 | 2016 |
| Book Review: Cognitive Computing: Theory and Applications. | 0 | 0.34 | 2016 |
| Book Review: Big Data Analytics. | 0 | 0.34 | 2015 |
| Semantically Segmented Clustering Based on Possibilistic and Rough Set Theories | 2 | 0.40 | 2015 |
| Fuzzy and Crisp Recursive Profiling of Online Reviewers and Businesses | 0 | 0.34 | 2015 |
| Partially Ordered Rough Ensemble Clustering For Multigranular Representations | 2 | 0.35 | 2015 |
| Rough possibilistic meta-clustering of retail datasets | 1 | 0.38 | 2014 |
| Iterative meta-clustering through granular hierarchy of supermarket customers and products | 8 | 0.48 | 2014 |
| Qualitative and quantitative combinations of crisp and rough clustering schemes using dominance relations | 10 | 0.44 | 2014 |
| The K-Modes Method under Possibilistic Framework. | 5 | 0.46 | 2013 |
| Enhancing Rough Clustering with Outlier Detection Based on Evidential Clustering. | 1 | 0.35 | 2013 |
| Belief Discernibility Matrix and Function for Incremental or Large Data. | 0 | 0.34 | 2013 |
| Exhaustive Search with Belief Discernibility Matrix and Function. | 1 | 0.40 | 2013 |
| Rough Sets and Knowledge Technology: 8th International Conference, RSKT 2013, Halifax, NS, Canada, October 11-14, 2013, Proceedings | 0 | 0.34 | 2013 |
| The K-Modes Method Using Possibility And Rough Set Theories | 3 | 0.44 | 2013 |
| Decremental Possibilistic K-Modes. | 3 | 0.39 | 2013 |
| Recursive Profiles of Businesses and Reviewers on Yelp.com. | 0 | 0.34 | 2013 |
| Soft clustering -- Fuzzy and rough approaches and their extensions and derivatives | 51 | 1.43 | 2013 |
| A Granular Recursive Fuzzy Meta-Clustering Algorithm For Social Networks | 0 | 0.34 | 2013 |
| Incremental Possibilistic K-Modes. | 0 | 0.34 | 2013 |
| Incremental Rough Possibilistic K-Modes. | 3 | 0.42 | 2013 |
| K-Modes Clustering Using Possibilistic Membership. | 7 | 0.58 | 2012 |
| RPKM: the rough possibilistic k-modes | 7 | 0.55 | 2012 |
| Heuristic for attribute selection using belief discernibility matrix | 2 | 0.42 | 2012 |
| Correlating Fuzzy and Rough Clustering | 11 | 0.65 | 2012 |
| Evidential clustering or rough clustering: the choice is yours | 2 | 0.38 | 2012 |
| Recursive meta-clustering in a granular network | 7 | 0.51 | 2012 |
| Rough clustering | 3 | 0.42 | 2011 |
| Clustering of Products to Identify Optimal Inventory Prediction Models. | 0 | 0.34 | 2011 |
| Comparing clustering schemes at two levels of granularity for mobile call mining | 2 | 0.40 | 2011 |
| Classification systems based on rough sets under the belief function framework | 6 | 0.43 | 2011 |
| Soft clustering from crisp clustering using granulation for mobile call mining. | 7 | 0.56 | 2011 |
| Classification with dynamic reducts and belief functions | 1 | 0.35 | 2011 |
| Use Of Stability And Seasonality Analysis For Optimal Inventory Prediction Models | 1 | 0.51 | 2011 |
| Crisp and soft clustering of mobile calls | 3 | 0.41 | 2011 |
| A comparison of dynamic and static belief rough set classifier | 2 | 0.38 | 2010 |
| Rough support vector regression | 8 | 0.58 | 2010 |
| Analysis of rough and fuzzy clustering | 4 | 0.74 | 2010 |
| Rough, fuzzy, interval clustering for web usage mining | 1 | 0.37 | 2010 |
| Rough Set and Knowledge Technology - 5th International Conference, RSKT 2010, Beijing, China, October 15-17, 2010. Proceedings | 98 | 7.31 | 2010 |
| Belief Rough Set Classification for web mining based on dynamic core | 0 | 0.34 | 2010 |
| Rule discovery process based on rough sets under the belief function framework | 2 | 0.37 | 2010 |
| Active Media Technology, 6th International Conference, AMT 2010, Toronto, Canada, August 28-30, 2010. Proceedings | 54 | 3.49 | 2010 |
| Interval Set Cluster Analysis: A Re-formulation | 12 | 0.64 | 2009 |
| A Comparative Study of Variable Elimination and Arc Reversal in Bayesian Network Inference | 3 | 0.51 | 2009 |
