Azzini, A., Marrara, S., Sassi, R. and Scotti, F. (2008). A fuzzy approach to multimodal biometric continuous authentication, Fuzzy Optimization and Decision Making 7(243): 243–256.10.1007/s10700-008-9034-1
Cordon, O., Herrera, F. and Peregrin, A. (1997). Applicability of the fuzzy operators in the design of fuzzy logic controllers, Fuzzy Sets and Systems 86(1): 15–41.10.1016/0165-0114(95)00367-3
Czogała, E. and Kowalczyk, R. (1996). Investigation of selected fuzzy operations and implications for engineering, IEEE 5th International Conference Fuzzy Systems, New Orleans, USA, pp. 879–885.
Czogała, E. and Łęski, J. (2001). On equivalence of approximate reasoning results using different interpretations of if-then rules, Fuzzy Sets and Systems 117(2): 279–296.10.1016/S0165-0114(98)00412-6
Dubois, D. and Prade, H. (1999). Fuzzy sets in approximate reasoning. Part 1: Inference with possibility distribution, Fuzzy Sets and Systems 100(Supp. 1): 73–132.
Grzegorzewski, P., Hryniewicz, O. and Romaniuk, M. (2020). Flexible resampling for fuzzy data, International Journal of Applied Mathematics and Computer Science 30(2): 281–297, DOI: 10.34768/amcs-2020-0022.
Ho, C., Li, J. and Gwak, S. (2010). Research of a new fuzzy reasoning method by moving of fuzzy membership functions, 2010 International Symposium on Intelligence Information Processing and Trusted Computing, Huang-gang, China, pp. 297–300.
Izquierdo, S.S. and Izquierdo, L.R. (2018). Mamdani fuzzy systems for modelling and simulation: A critical assessment, Journal of Artificial Societies and Social Simulation 21(3): 2.10.18564/jasss.3660
Kudłacik, P. (2013). An analysis of using triangular truth function in fuzzy reasoning based on a fuzzy truth value, Medical Informatics & Technologies 22: 103–110.
Kudłacik, P. and Łęski, J. (2021). Practical aspects of equivalence of Baldwin’s and Zadeh’s fuzzy inference, Journal of Intelligent & Fuzzy Systems 40(3): 4617–4636.10.3233/JIFS-201443
Mamdani, E. and Assilan, S. (1975). An experiment in linguistic synthesis with a fuzzy logic controller, International Journal of Man-Machine Studies 20(2): 1–13.10.1016/S0020-7373(75)80002-2
Mazandarani, M. and Xiu, L. (2020). Fractional fuzzy inference system: The new generation of fuzzy inference systems, IEEE Access 8: 126066–126082.10.1109/ACCESS.2020.3008064
Piegat, A. and Dobryakova, L. (2020). A decomposition approach to type 2 interval arithmetic, International Journal of Applied Mathematics and Computer Science 30(1): 185–201, DOI: 10.34768/amcs-2020-0015.
Tong, R.M. and Festathiou, J. (1982). A critical assessment of truth function modification and its use in approximate reasoning, Fuzzy Sets and Systems 7(1): 103–108.10.1016/0165-0114(82)90044-6
Ughetto, L., Dubois, D. and Prade, H. (1999). Implicative and conjunctive fuzzy rules—A tool for reasoning from knowledge and examples, 16th National Conference on Artificial Intelligence/11th Annual Conference on Innovative Applications of Artificial Intelligence, Orlando, USA, pp. 214–219.
Zadeh, L. (1973). Outline of a new approach to the analysis of complex systems and decision processes, IEEE Transactions on Systems, Man and Cybernetics 3(1): 28–44.10.1109/TSMC.1973.5408575