Fuzzy B-spline Modeling of Uncertainty Data
نویسندگان
چکیده
In this paper, we purposed a new method in modeling the uncertainty data based on the theory of fuzzy sets and the interpolation B-spline model curve. The uncertainty data firstly defined by using fuzzy number concept and fuzzy relation by defined them in real data form. The existed coefficient control of interpolation B-spline basis function is substituted with the fuzzy data points(FDPs) which will introduce fuzzy interpolation B-spline curve model. The fuzzification method is applied in order to obtain a fuzzy interval of crisp fuzzy solution curve based on the alpha-cut values. After the fuzzification method was applied, then we used defuzzification method to achieve the final solution which is the crisp fuzzy solution curve. This purposed model is applied in verification of offline handwriting signature(OHS) as the hypothetical example.
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