Two families of fuzzy integrals
Fuzzy Sets and Systems
Fuzzy Sets and Systems - Special issue on mathematical aspects of fuzzy sets
Fuzzy Measure Theory
Relations among univariate aging, bivariate aging and dependence for exchangeable lifetimes
Journal of Multivariate Analysis
Uncertainty and Information: Foundations of Generalized Information Theory
Uncertainty and Information: Foundations of Generalized Information Theory
General Chebyshev type inequalities for Sugeno integrals
Fuzzy Sets and Systems
General Minkowski type inequalities for Sugeno integrals
Fuzzy Sets and Systems
Two integrals and some modified versions - Critical remarks
Fuzzy Sets and Systems
The interpretation of fuzzy integrals and their application to fuzzy systems
International Journal of Approximate Reasoning
Chebyshev inequality for Sugeno integrals
Fuzzy Sets and Systems
A universal integral as common frame for choquet and Sugeno integral
IEEE Transactions on Fuzzy Systems
General Barnes-Godunova-Levin type inequalities for Sugeno integral
Information Sciences: an International Journal
General Chebyshev type inequalities for universal integral
Information Sciences: an International Journal
On the axiomatization of some classes of discrete universal integrals
Knowledge-Based Systems
Integer parameter estimation in linear models with applications toGPS
IEEE Transactions on Signal Processing
Guest Editorial: A special issue on new trends in Intelligent Decision Support Systems
Knowledge-Based Systems
A generalization of universal integrals by means of level dependent capacities
Knowledge-Based Systems
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Integral inequalities play important roles in classical probability and measure theory. Universal integrals provide a useful tool in many problems in engineering and non-linear systems where the aggregation of data is required. We discuss several inequalities including Hardy, Berwald, Barnes-Godunova-Levin, Markov and Chebyshev for a monotone measure-based universal integral. Some recent results are obtained as corollaries. Finally, we provide some applications of our results in intelligent decision support systems, estimation and information fusion.