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Toxicity risk assessment from heterogeneous uncertain data with possibility-probability distribution.

, and . FUZZ-IEEE, IEEE, (2013)

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Integration strategies for toxicity data from an empirical perspective., and . UKCI, page 1-8. IEEE, (2014)Toxicity risk assessment from heterogeneous uncertain data with possibility-probability distribution., and . FUZZ-IEEE, IEEE, (2013)Combining Classifiers of Pesticides Toxicity through a Neuro-fuzzy Approach., , , and . Multiple Classifier Systems, volume 2364 of Lecture Notes in Computer Science, page 293-303. Springer, (2002)Towards a Data Quality Framework for Heterogeneous Data., , , and . iThings/GreenCom/CPSCom/SmartData, page 155-162. IEEE Computer Society, (2017)Special issue on innovative techniques and applications of artificial intelligence guest editorial.. Expert Syst. J. Knowl. Eng., (2017)A Study of Neural and Fuzzy Parameters for Explicit and Implicit Knowledge-based Systems.. ANNs, page 51-61. INSTICC Press, (2004)Computational Complexity Analysis of Decision Tree Algorithms., , and . SGAI Conf., volume 11311 of Lecture Notes in Computer Science, page 191-197. Springer, (2018)Refinement of Clustering Solutions Using a Multi-label Voting Algorithm for Neuro-fuzzy Ensembles., , and . ICNC (3), volume 3612 of Lecture Notes in Computer Science, page 1300-1303. Springer, (2005)RDF Repository of Experts Based on Context Oriented Automatic Annotation Framework., , and . Asia International Conference on Modelling and Simulation, page 29-34. IEEE Computer Society, (2008)Distributed Network Behaviour Prediction Using Machine Learning and Agent-Based Micro Simulation., , , , and . FiCloud, page 182-188. IEEE, (2019)