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Improving Supervised Classification Algorithms by a Bipolar Knowledge Representation., , и . EUSFLAT/IWIFSGN (3), том 643 из Advances in Intelligent Systems and Computing, стр. 518-529. Springer, (2017)Classifying image analysis techniques from their output., , , , и . Int. J. Comput. Intell. Syst., 9 (sup1): 43-68 (2016)Computational intelligence in decision making., , и . Int. J. Comput. Intell. Syst., 7 (sup1): 1-5 (2014)Another paraconsistent algebraic semantics for Lukasiewicz-Pavelka logic., , , и . Fuzzy Sets Syst., (2014)Consistency and stability in aggregation operators with data structure., , , и . IFSA/NAFIPS, стр. 1034-1038. IEEE, (2013)Automatic Detection of Thistle-Weeds in Cereal Crops from Aerial RGB Images., , , , , , и . IPMU (3), том 855 из Communications in Computer and Information Science, стр. 441-452. Springer, (2018)A computational definition of aggregation rules., , , , и . FUZZ-IEEE, стр. 1-5. IEEE, (2010)Approaches to learning strictly-stable weights for data with missing values., , , , и . Fuzzy Sets Syst., (2017)Information measures over intuitionistic four valued fuzzy preferences., , и . FUZZ-IEEE, стр. 1-8. IEEE, (2010)Rule-based classification by means of bipolar criteria., , и . MCDM, стр. 197-204. IEEE, (2011)