Pawan Lingras
Pawan Lingras
Professor of Mathematics and Computing Science
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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
Rough neural networks
P Lingras
Proc. of the 6th Int. Conf. on Information Processing and Management of …, 1996
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
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 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
Unsupervised rough set classification using GAs
P Lingras
Journal of Intelligent Information Systems 16 (3), 215-228, 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
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
A decision-theoretic roguth set model, Methodologies for intelligent systems, 5
YY Yao, SKM Wong, P Lingras
Elsevier North-Holland, Inc., New York, NY, 1991
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
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
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