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Single Hidden Layer CEFYDRA: Cluster-first Explainable FuzzY-based Deep self-Reorganizing Algorithm.

, , , , and . NAFIPS, volume 500 of Lecture Notes in Networks and Systems, page 298-307. Springer, (2022)

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Why Ricker wavelets are successful in processing seismic data: Towards a theoretical explanation., and . CIES, page 11-16. IEEE, (2014)From 1-D to 2-D fuzzy: A proof that interval-valued and complex-valued are the only distributive options., , and . NAFIPS/WConSC, page 1-6. IEEE, (2015)Sometimes, it is beneficial to process different types of uncertainty separately., , and . NAFIPS/WConSC, page 1-5. IEEE, (2015)In Engineering Classes, How to Assign Partial Credit: From Current Subjective Practice to Exact Formulas (Based on Computational Intelligence Ideas)., , and . SSCI, page 1621-1626. IEEE, (2015)Towards fusing sophisticated mathematical knowledge and informal expert knowledge: an arbitrary metric can be naturally interpreted in fuzzy terms., , and . EUSFLAT Conf., page 406-409. De Montfort University, Leicester, UK, (2001)Towards Intuitive Understanding of the Cauchy Deviate Method for Processing Interval and Fuzzy Uncertainty., and . IFSA/EUSFLAT Conf., page 1264-1269. (2009)What is the Right Context for an Engineering Problem: Finding Such a Context is NP-Hard., , , , and . SSCI, page 1615-1620. IEEE, (2015)Introduction: Logic Programming, Non-Monotonic Reasoning and Reasoning about Actions., , and . Ann. Math. Artif. Intell., 21 (2-4): 129 (1997)From Gauging Accuracy of Quantity Estimates to Gauging Accuracy and Resolution of Measuring Physical Fields., and . PPAM (2), volume 6068 of Lecture Notes in Computer Science, page 456-465. Springer, (2009)Towards Efficient Prediction of Decisions under Interval Uncertainty., , , and . PPAM, volume 4967 of Lecture Notes in Computer Science, page 1372-1381. Springer, (2007)