Asthe obtained data in many practical applicationstend to be uncertain or inaccurate,the conventional modeling methods characterized by the deterministic model for thistype of data have become *** linear programmin...
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Asthe obtained data in many practical applicationstend to be uncertain or inaccurate,the conventional modeling methods characterized by the deterministic model for thistype of data have become *** linear programming,the t-sfuzzy model and some ideas from1-norm minimization into consideration,a novel method identifying intervalfuzzy model(INFUMO) consisted of the upper and lower t-sfuzzy model(referred to as f and f)has been studied in this *** order to solve the INFUMO,optimization problemsbased on minimizing 1-norm with respectto the approximationerror corresponding to f and f are ***,the optimization problems are solved by the linear programming and INFUMO isthus *** demonstrate its effectiveness,the proposed method is applied to identify the intervalt-s model of static and dynamic nonlinear model with *** proposed method can not only deal with uncertain data to be usually modeled asthe deterministic model,but also has better robustness.
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