| Interval set clustering of web users with rough k-means P Lingras, C West Journal of Intelligent Information Systems 23 (1), 5-16, 2004 | 623 | 2004 |
| Decision-theoretic rough set models Y Yao International conference on rough sets and knowledge technology, 1-12, 2007 | 521 | 2007 |
| Data mining using extensions of the rough set model PJ Lingras, YY Yao Journal of the American Society for Information Science 49 (5), 415-422, 1998 | 221 | 1998 |
| Interpretations of belief functions in the theory of rough sets YY Yao, PJ Lingras Information sciences 104 (1-2), 81-106, 1998 | 196 | 1998 |
| Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics): Preface M Abe, K Aoki, G Ateniese, R Avanzi, Z Beerliová, O Billet, A Biryukov, ... Lecture Notes in Computer Science (including subseries Lecture Notes in …, 2006 | 174* | 2006 |
| Soft clustering–fuzzy and rough approaches and their extensions and derivatives G Peters, F Crespo, P Lingras, R Weber International Journal of Approximate Reasoning 54 (2), 307-322, 2013 | 155 | 2013 |
| Rough neural networks P Lingras Proc. of the 6th Int. Conf. on Information Processing and Management of …, 1996 | 155 | 1996 |
| Estimation of missing traffic counts using factor, genetic, neural, and regression techniques M Zhong, P Lingras, S Sharma Transportation Research Part C: Emerging Technologies 12 (2), 139-166, 2004 | 151 | 2004 |
| Rough set based 1-v-1 and 1-vr approaches to support vector machine multi-classification P Lingras, C Butz Information Sciences 177 (18), 3782-3798, 2007 | 134 | 2007 |
| Unsupervised rough set classification using GAs P Lingras Journal of Intelligent Information Systems 16 (3), 215-228, 2001 | 120 | 2001 |
| Rough cluster quality index based on decision theory P Lingras, M Chen, D Miao IEEE Transactions on Knowledge and Data Engineering 21 (7), 1014-1026, 2008 | 119 | 2008 |
| Comparison of neofuzzy and rough neural networks P Lingras Information Sciences 110 (3-4), 207-215, 1998 | 112 | 1998 |
| Rough set clustering for web mining P Lingras 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE …, 2002 | 105 | 2002 |
| Genetic algorithms for rerouting shortest paths in dynamic and stochastic networks C Davies, P Lingras European Journal of Operational Research 144 (1), 27-38, 2003 | 99 | 2003 |
| Genetically designed models for accurate imputation of missing traffic counts M Zhong, S Sharma, P Lingras Transportation Research Record 1879 (1), 71-79, 2004 | 84 | 2004 |
| Interval set clustering of web users using modified kohonen self-organizing maps based on the properties of rough sets P Lingras, M Hogo, M Snorek Web Intelligence and Agent Systems: An International Journal 2 (3), 217-225, 2004 | 81 | 2004 |
| Time delay neural networks designed using genetic algorithms for short term inter-city traffic forecasting P Lingras, P Mountford International conference on industrial, engineering and other applications …, 2001 | 81 | 2001 |
| Applying rough set concepts to clustering P Lingras, G Peters Rough Sets: Selected Methods and Applications in Management and Engineering …, 2012 | 75* | 2012 |
| Granular meta-clustering based on hierarchical, network, and temporal connections P Lingras, F Haider, M Triff Granular Computing 1 (1), 71-92, 2016 | 73 | 2016 |
| Temporal analysis of clusters of supermarket customers: conventional versus interval set approach P Lingras, M Hogo, M Snorek, C West Information Sciences 172 (1-2), 215-240, 2005 | 72 | 2005 |
