Tamás Jónás
Orcid: 0000-0001-8241-2321
According to our database1,
Tamás Jónás
authored at least 29 papers
between 2016 and 2024.
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Bibliography
2024
A two-parameter parsimonious bathtub model for the analysis of system failure times with illustrations to reliability data.
Qual. Reliab. Eng. Int., March, 2024
A representation of a class of quasi-arithmetic means using a unary modifier operator.
Fuzzy Sets Syst., January, 2024
2023
Soft Comput., 2023
2022
Int. J. Approx. Reason., 2022
Fuzzy Sets Syst., 2022
Fuzzy Sets Syst., 2022
Fuzzy Sets Syst., 2022
Remarks on two representations of strong negations and a connection between nilpotent and strict triangular norms.
Fuzzy Sets Syst., 2022
Corrigendum to "The tau-additive measure and its connection with the lambda-additive measure" [Fuzzy Sets Syst. 430 (2022) 19-35].
Fuzzy Sets Syst., 2022
Earth Sci. Informatics, 2022
Weighted aggregation systems and an expectation level-based weighting and scoring procedure.
Eur. J. Oper. Res., 2022
2021
Int. J. Approx. Reason., 2021
2020
Soft Comput., 2020
The λ-additive measure in a new light: the Q<sub>ν </sub> measure and its connections with belief, probability, plausibility, rough sets, multi-attribute utility functions and fuzzy operators.
Soft Comput., 2020
Fuzzy Time Series Models Using Pliant- and Asymptotically Pliant Arithmetic-Based Inference.
Neural Process. Lett., 2020
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2020
Fuzzy Sets Syst., 2020
Lower and upper bounds for the probabilistic Poincaré formula using the general Poincaré formula for <i>λ</i>-additive measures.
Fuzzy Sets Syst., 2020
Inequalities for <i>λ</i>-additive measures based on the application of the general Poincaré formula for <i>λ</i>-additive measures.
Fuzzy Sets Syst., 2020
2019
Qual. Reliab. Eng. Int., 2019
Acta Cybern., 2019
2018
Approximations to the Normal Probability Distribution Function using Operators of Continuous-valued Logic.
Acta Cybern., 2018
Proceedings of the Soft Computing Applications, 2018
2017
Proceedings of the Advances in Computational Intelligence, 2017
2016
Clustering Empirical Failure Rate Curves for Reliability Prediction Purposes in the Case of Consumer Electronic Products.
Qual. Reliab. Eng. Int., 2016