Artificial Intelligence
An interval method for systems of ODE
Proceedings of the International Symposium on interval mathematics on Interval mathematics 1985
Robust multivariable feedback control
Robust multivariable feedback control
Qualitative-numeric simulation with Q3
Recent advances in qualitative physics
Methods and Applications of Interval Analysis (SIAM Studies in Applied and Numerical Mathematics) (Siam Studies in Applied Mathematics, 2.)
Modeling and Simulation of a Complex Industrial Process
IEEE Expert: Intelligent Systems and Their Applications
A Semiquantitative Approach to Study Semiqualitative Systems
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
Qualitative simulation and related approaches for the analysis of dynamic systems
The Knowledge Engineering Review
Simulation of discrete linear time-invariant fuzzy dynamic systems
Fuzzy Sets and Systems
Semi-quantitative comparative analysis
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
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Models of complex physical systems often cannot be defined precisely, either because of lack of knowledge or because the system parameters change over time according to unknown phenomena. Such systems can be represented by semi-quantitative models that combine both qualitative and quantitative knowledge. This paper presents Numerical Interval Simulation, a method that can produce tight predictions of systems involving nonmonotonic functions. We present a successful application of NIS to predict the behavior of a complex process at a Brazilian-Japanese steel company. We claim that such capability of simulating nonmonotonic functions is fundamental in order to handle real-world complex industrial processes.