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Implementing a combined defuzzification: evaluation of COBYLA and SLSQP Cover

Implementing a combined defuzzification: evaluation of COBYLA and SLSQP

Open Access
|Jan 2026

References

  1. Leekwijck, W. V. and Kerre, E. E. (1999) Defuzzification: criteria and classification. Fuzzy Sets and Systems, 108, 2, 159–178.
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  3. Powell, M. J. D. (2012) On the convergence of trust region algorithms for unconstrained minimization without derivatives. Computational Optimization and Applications, 53, 527–555.
  4. Ragonneau, T. M. and Zhang, Z. (2024) PDFO: a cross-platform package for Powell’s derivative-free optimization solvers. https://pdfo.net/ Accessed: August 2023.
  5. Runkler, T. A. and Glesner, M. (1993) A set of axioms for defuzzification strategies towards a theory of rational defuzzification operators. [Proceedings 1993] Second IEEE International Conference on Fuzzy Systems, 2, 1161–1166.
  6. Verstraete, J. (2017) The Spatial Disaggregation Problem: Simulating Reasoning Using a fuzzy Inference System. IEEE Transactions on Fuzzy Systems, 25 (3), 627–641.
  7. Verstraete, J., Radziszewska, W., Kaczmarek-Majer, K. and Bykuć, S. (2024) Combined defuzzification under shared constraint. IEEE Transactions on Fuzzy Systems, 32, 5, 3049–3058.
DOI: https://doi.org/10.2478/candc-2025-0011 | Journal eISSN: 2720-4278 | Journal ISSN: 0324-8569
Language: English
Page range: 309 - 340
Submitted on: Oct 1, 2025
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Accepted on: Dec 1, 2025
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Published on: Jan 22, 2026
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2026 Jörg Verstraete, Weronika Radziszewska, Jolanta Jarnicka, published by Systems Research Institute Polish Academy of Sciences
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.