Structure identification of fuzzy model
Fuzzy Sets and Systems
Introduction to artificial neural systems
Introduction to artificial neural systems
Classification by fuzzy integral: performance and tests
Fuzzy Sets and Systems - Special issue on fuzzy methods for computer vision and pattern recognition
Aggregation operators and fuzzy systems modeling
Fuzzy Sets and Systems
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
A new type of nonlinear integrals and the computational algorithm
Fuzzy Sets and Systems
On the representation of Choquet integrals of set-valued functions, and null sets
Fuzzy Sets and Systems
Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference
Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference
Fuzzy Measures and Integrals: Theory and Applications
Fuzzy Measures and Integrals: Theory and Applications
Control and identification of non-linear systems affected by noise using wavelet network
Second international workshop on Intelligent systems design and application
IEEE Transactions on Pattern Analysis and Machine Intelligence
New fuzzy wavelet neural networks for system identification and control
Applied Soft Computing
Off-line signature verification and forgery detection using fuzzy modeling
Pattern Recognition
Choquet fuzzy integral-based hierarchical networks for decision analysis
IEEE Transactions on Fuzzy Systems
Structure identification of generalized adaptive neuro-fuzzy inference systems
IEEE Transactions on Fuzzy Systems
A fuzzy-logic-based approach to qualitative modeling
IEEE Transactions on Fuzzy Systems
Modeling and control of carbon monoxide concentration using a neuro-fuzzy technique
IEEE Transactions on Fuzzy Systems
Identification and control of dynamical systems using neural networks
IEEE Transactions on Neural Networks
Load forecasting using wavelet fuzzy neural network
International Journal of Knowledge-based and Intelligent Engineering Systems
Design of interval networks based on neural network and Choquet integral
Applied Soft Computing
Fuzzy posterior-probabilistic fusion
Pattern Recognition
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For dealing with the adjacent input fuzzy sets having overlapping information, non-additive fuzzy rules are formulated by defining their consequent as the product of weighted input and a fuzzy measure. With the weighted input, need arises for the corresponding fuzzy measure. This is a new concept that facilitates the evolution of new fuzzy modeling. The fuzzy measures aggregate the information from the weighted inputs using the @l-measure. The output of these rules is in the form of the Choquet fuzzy integral. The underlying non-additive fuzzy model is investigated for identification of non-linear systems. The weighted input which is the additive S-norm of the inputs and their membership functions provides the strength of the rules and fuzzy densities required to compute fuzzy measures subject to q-measure are the unknown functions to be estimated. The use of q-measure is a powerful way of simplifying the computation of @l-measure that takes account of the interaction between the weighted inputs. Two applications; one real life application on signature verification and forgery detection, and another benchmark problem of a chemical plant illustrate the utility of the proposed approach. The results are compared with those existing in the literature.