Some quantities represented by the Choquet integral
Fuzzy Sets and Systems
Classification by fuzzy integral: performance and tests
Fuzzy Sets and Systems - Special issue on fuzzy methods for computer vision and pattern recognition
The nature of mathematical modeling
The nature of mathematical modeling
Fuzzy Measures and Integrals: Theory and Applications
Fuzzy Measures and Integrals: Theory and Applications
Choquet fuzzy integral-based hierarchical networks for decision analysis
IEEE Transactions on Fuzzy Systems
Recognition technology for the detection of buried land mines
IEEE Transactions on Fuzzy Systems
From a Gaussian mixture model to additive fuzzy systems
IEEE Transactions on Fuzzy Systems
From a Gaussian Mixture Model to Nonadditive Fuzzy Systems
IEEE Transactions on Fuzzy Systems
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This paper presents a data-based fuzzy computational scheme for modelling the Earth's magnetic field using the framework of Adaptive Non-Additive Fuzzy System (ANAFS). The defuzzified output constructed from both the premise and consequent parts of the GFM rules takes the form of Choquet integral. Premise and Consequent parameters of fuzzy model are then updated for each online data based on the estimation error to make the adaptive system. The resulting model is validated on the real data, that is, magnetic field intensity obtained from the magnetometer and the training and prediction results are found to be better and can be used for modelling such a complex system whose mathematical or physical modelling is very difficult to obtain. Thus, this work makes an important contribution to the field of system modelling in real life.