Pawan Lingras
Pawan Lingras
Professor of Mathematics and Computing Science
Verified email at - Homepage
Cited by
Cited by
Interval set clustering of web users with rough k-means
P Lingras, C West
Journal of Intelligent Information Systems 23 (1), 5-16, 2004
Decision-theoretic rough set models
Y Yao
International conference on rough sets and knowledge technology, 1-12, 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
Interpretations of belief functions in the theory of rough sets
YY Yao, PJ Lingras
Information sciences 104 (1-2), 81-106, 1998
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
Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics): Preface
D ‹nay, Z «ataltepe, S Aksoy
Lecture Notes in Computer Science (including subseries Lecture Notes in†…, 2010
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
Rough neural networks
P Lingras
Proc. of the 6th Int. Conf. on Information Processing and Management of†…, 1996
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
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
Unsupervised rough set classification using GAs
P Lingras
Journal of Intelligent Information Systems 16 (3), 215-228, 2001
Comparison of neofuzzy and rough neural networks
P Lingras
Information Sciences 110 (3-4), 207-215, 1998
Rough set clustering for web mining
P Lingras
2002 IEEE World Congress on Computational Intelligence. 2002 IEEE†…, 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
Genetically designed models for accurate imputation of missing traffic counts
M Zhong, S Sharma, P Lingras
Transportation Research Record 1879 (1), 71-79, 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
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
Applying rough set concepts to clustering
P Lingras, G Peters
Rough Sets: Selected Methods and Applications in Management and Engineering†…, 2012
Granular meta-clustering based on hierarchical, network, and temporal connections
P Lingras, F Haider, M Triff
Granular Computing 1 (1), 71-92, 2016
Classifying highways: hierarchical grouping versus Kohonen neural networks
P Lingras
Journal of Transportation Engineering 121 (4), 364-368, 1995
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