Chris Cornelis
Chris Cornelis
Researcher of Computer Science, Ghent University
Verified email at - Homepage
Cited by
Cited by
On the representation of intuitionistic fuzzy t-norms and t-conorms
G Deschrijver, C Cornelis, EE Kerre
IEEE transactions on fuzzy systems 12 (1), 45-61, 2004
Implication in intuitionistic fuzzy and interval-valued fuzzy set theory: construction, classification, application
C Cornelis, G Deschrijver, EE Kerre
International journal of approximate reasoning 35 (1), 55-95, 2004
Attribute selection with fuzzy decision reducts
C Cornelis, R Jensen, G Hurtado, D Slezak
Information Sciences 180 (2), 209-224, 2010
Intuitionistic fuzzy rough sets: at the crossroads of imperfect knowledge
C Cornelis, M De Cock, EE Kerre
Expert systems 20 (5), 260-270, 2003
Gradual trust and distrust in recommender systems
P Victor, C Cornelis, M De Cock, PP Da Silva
Fuzzy Sets and Systems 160 (10), 1367-1382, 2009
Implementing algorithms of rough set theory and fuzzy rough set theory in the R package “RoughSets”
LS Riza, A Janusz, C Bergmeir, C Cornelis, F Herrera, D Śle, JM Benítez
Information sciences 287, 68-89, 2014
Advances and challenges in interval-valued fuzzy logic
C Cornelis, G Deschrijver, EE Kerre
Fuzzy sets and systems 157 (5), 622-627, 2006
Trust and recommendations
P Victor, M De Cock, C Cornelis
Recommender systems handbook, 645-675, 2011
Trust-and distrust-based recommendations for controversial reviews
P Victor, C Cornelis, M De Cock, AM Teredesai
IEEE Intelligent Systems 26 (1), 48-55, 2011
Fuzzy-rough nearest neighbour classification and prediction
R Jensen, C Cornelis
Theoretical Computer Science 412 (42), 5871-5884, 2011
Fuzzy neighborhood operators based on fuzzy coverings
L D'eer, C Cornelis, L Godo
Fuzzy Sets and Systems 312, 17-35, 2017
Vaguely quantified rough sets
C Cornelis, M De Cock, AM Radzikowska
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 11th …, 2007
Enhancing evolutionary instance selection algorithms by means of fuzzy rough set based feature selection
J Derrac, C Cornelis, S García, F Herrera
Information Sciences 186 (1), 73-92, 2012
Practical aggregation operators for gradual trust and distrust
P Victor, C Cornelis, M De Cock, E Herrera-Viedma
Fuzzy Sets and Systems 184 (1), 126-147, 2011
Multiple instance learning
F Herrera, S Ventura, R Bello, C Cornelis, A Zafra, D Sánchez-Tarragó, ...
Multiple instance learning: foundations and algorithms, 17-33, 2016
Fuzzy rough sets: The forgotten step
M De Cock, C Cornelis, EE Kerre
IEEE Transactions on Fuzzy Systems 15 (1), 121-130, 2007
One-and-only item recommendation with fuzzy logic techniques
C Cornelis, J Lu, X Guo, G Zhang
Information sciences 177 (22), 4906-4921, 2007
Filters of residuated lattices and triangle algebras
B Van Gasse, G Deschrijver, C Cornelis, EE Kerre
Information Sciences 180 (16), 3006-3020, 2010
Sinha–Dougherty approach to the fuzzification of set inclusion revisited
C Cornelis, C Van der Donck, E Kerre
Fuzzy Sets and Systems 134 (2), 283-295, 2003
IFROWANN: imbalanced fuzzy-rough ordered weighted average nearest neighbor classification
E Ramentol, S Vluymans, N Verbiest, Y Caballero, R Bello, C Cornelis, ...
IEEE Transactions on Fuzzy Systems 23 (5), 1622-1637, 2014
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