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Design of Radix-2 and Radix-4 FFT Processors Using a Modular Architecture Family., , , и . PDPTA, стр. 589-599. CSREA Press, (1996)Approximating General Logic Programs., , и . ILPS, стр. 181-198. MIT Press, (1993)Compressing 3D Measurement Data Under Interval Uncertainty., , , и . PARA, том 3732 из Lecture Notes in Computer Science, стр. 142-150. Springer, (2004)How to Predict Nesting Sites and How to Measure Shoreline Erosion: Fuzzy and Probabilistic Techniques for Environment-Related Spatial Data Processing., , , и . WCSC, том 361 из Studies in Fuzziness and Soft Computing, стр. 595-604. Springer, (2016)How to Explain Ubiquity of Constant Elasticity of Substitution (CES) Production and Utility Functions Without Explicitly Postulating CES., , и . Robustness in Econometrics, том 692 из Studies in Computational Intelligence, (2017)Simple linear interpolation explains all usual choices in fuzzy techniques: Membership functions, t-norms, t-conorms, and defuzzification., , , , , и . NAFIPS/WConSC, стр. 1-5. IEEE, (2015)Quantum Econometrics: How to Explain Its Quantitative Successes and How the Resulting Formulas Are Related to Scale Invariance, Entropy, and Fuzziness., , , и . IUKM, том 10758 из Lecture Notes in Computer Science, стр. 264-275. Springer, (2018)Between Dog and Wolf: A Continuous Transition from Fuzzy to Probabilistic Estimates., , , и . FUZZ-IEEE, стр. 1-5. IEEE, (2019)Intelligence techniques are needed to further enhance the advantage of groups with diversity in problem solving., , , , и . HIMA, стр. 48-55. IEEE, (2009)Why polynomial formulas in soft computing, decision making, etc.?, и . FUZZ-IEEE, стр. 1-5. IEEE, (2010)