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Maximum Entropy Beyond Selecting Probability Distributions.

, , and . ECONVN, volume 760 of Studies in Computational Intelligence, page 186-195. Springer, (2018)

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Towards Foundations of Fuzzy Utility: Taking Fuzziness into Account Naturally Leads to Intuitionistic Fuzzy Degrees., and . NAFIPS, volume 831 of Communications in Computer and Information Science, page 530-537. Springer, (2018)Current Quantum Cryptography Algorithm Is Optimal: A Proof., , and . SSCI, page 295-300. IEEE, (2018)In the Beginning Was the Word, and the Word Was Fuzzy.. On Fuzziness (1), volume 298 of Studies in Fuzziness and Soft Computing, page 337-341. Springer, (2013)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)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)