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How to Select an Appropriate Similarity Measure: Towards a Symmetry-Based Approach.

, , , and . IUKM, volume 9978 of Lecture Notes in Computer Science, page 457-468. (2016)

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Design of Radix-2 and Radix-4 FFT Processors Using a Modular Architecture Family., , , and . PDPTA, page 589-599. CSREA Press, (1996)Approximating General Logic Programs., , and . ILPS, page 181-198. MIT Press, (1993)Compressing 3D Measurement Data Under Interval Uncertainty., , , and . PARA, volume 3732 of Lecture Notes in Computer Science, page 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., , , and . WCSC, volume 361 of Studies in Fuzziness and Soft Computing, page 595-604. Springer, (2016)Why neural networks in the first place: a theoretical explanation., , , and . J. Intell. Fuzzy Syst., 43 (6): 6947-6951 (2022)How to Explain Ubiquity of Constant Elasticity of Substitution (CES) Production and Utility Functions Without Explicitly Postulating CES., , and . Robustness in Econometrics, volume 692 of Studies in Computational Intelligence, (2017)Simple linear interpolation explains all usual choices in fuzzy techniques: Membership functions, t-norms, t-conorms, and defuzzification., , , , , and . NAFIPS/WConSC, page 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., , , and . IUKM, volume 10758 of Lecture Notes in Computer Science, page 264-275. Springer, (2018)Why polynomial formulas in soft computing, decision making, etc.?, and . FUZZ-IEEE, page 1-5. IEEE, (2010)Between Dog and Wolf: A Continuous Transition from Fuzzy to Probabilistic Estimates., , , and . FUZZ-IEEE, page 1-5. IEEE, (2019)