Title :
Double-linear fuzzy interpolation method
Author :
Detyniecki, Marcin ; Marsala, Christophe ; Rifqi, Maria
Author_Institution :
LIP6, UPMC Univ. Paris 06, Paris, France
Abstract :
In this paper, we present an original fuzzy interpolation method. In contrast to existing approaches, our method is able to always construct an interpolated fuzzy interval without a need of a special step dedicated to the "standardization" of non viable solutions, which fractures the sense of the interpolation. In fact, these "standardization" steps imply that, for instance, a point obtained from the interpolation of the upper limit (right side) of the fuzzy sets, is used to build the lower limit (left side) of the interpolated conclusion, breaking the underlying hypothesis of (linear) graduality. To achieve the direct interpolation, our method is based on the deviation of the observation from the expected linearly interpolated solution and constrains of the constructed solution between extreme cases. We illustrate and discuss the behavior of our method by comparison to other well known fuzzy interpolation methods.
Keywords :
fuzzy logic; fuzzy set theory; interpolation; double-linear fuzzy interpolation method; fuzzy interval; fuzzy sets; Equations; Fuzzy sets; Interpolation; Kernel; Mathematical model; Shape; Uncertainty; Fuzzy Interpolation; approximate reasoning; sparse rule base;
Conference_Titel :
Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-7315-1
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2011.6007693