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Tackling the coplanarity problem in 3D camera calibration by means of fuzzy landmarks: a performance study in forensic craniofacial superimposition.

, , , and . ICCV Workshops, page 1686-1693. IEEE Computer Society, (2009)

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A proposal for improving the accuracy of linguistic modeling., and . IEEE Trans. Fuzzy Syst., 8 (3): 335-344 (2000)Automatic Tuning of a Fuzzy Visual System Using Evolutionary Algorithms: Single-Objective Versus Multiobjective Approaches., , , and . IEEE Trans. Fuzzy Syst., 16 (2): 485-501 (2008)MOGUL: A methodology to obtain genetic fuzzy rule-based systems under the iterative rule learning approach., , , and . Int. J. Intell. Syst., 14 (11): 1123-1153 (1999)Hybridizing Hierarchical and Weighted Linguistic Rules., , , , and . SAC, page 812-816. ACM, (2002)Including different kinds of preferences in a multi-objective ant algorithm for time and space assembly line balancing on different Nissan scenarios., , , and . Expert Syst. Appl., 38 (1): 709-720 (2011)Local identification of prototypes for genetic learning of accurate TSK fuzzy rule-based systems., , , , and . Int. J. Intell. Syst., 22 (9): 909-941 (2007)Analysis of the Best-Worst Ant System and Its Variants on the QAP., , and . Ant Algorithms, volume 2463 of Lecture Notes in Computer Science, page 228-234. Springer, (2002)Insurance Market Risk Modeling with Hierarchical Fuzzy Rule Based Systems., , , and . ICEIS, page 325-333. (2002)Some Real-world Applications of Soft Artificial Intelligence: Scientogram Mining, Assembly Line Balancing, and Forensic Identification.. CCIA, volume 248 of Frontiers in Artificial Intelligence and Applications, page 3. IOS Press, (2012)Combining Rule Weight Learning and Rule Selection to Obtain Simpler and More Accurate Linguistic Fuzzy Models., , and . Modelling with Words, volume 2873 of Lecture Notes in Computer Science, Springer, (2003)