Comments on the benchmarks in "A proposal for improving the accuracy of Linguistic Modeling" and related articles.

Comments on the benchmarks in "A proposal for improving the accuracy of Linguistic Modeling" and related articles.

In the above paper by Cordon and Herrara (IEEE Trans. Fuzzy Syst., vol. 8, p. 335-44, 2000), the so-called accurate linguistic modeling (ALM) method was proposed to improve the accuracy of linguistic fuzzy models. A number of examples are given to demonstrate the benefits of the approach. We show th...

Täydet tiedot

Bibliografiset tiedot
Julkaisussa:IEEE Transactions on fuzzy systems 11, 6 (2003).
Päätekijä: Roubos, J.A
Aineistotyyppi: Artikkeli
Kieli:English
Aiheet:
Takagi-Sugeno fuzzy model.
Accurate linguistic modeling method.
Benchmarks.
Demonstrators.
Fuzzy modeling techniques.
Linear models.
Linguistic fuzzy models.
Nonlinear modeling techniques.
Rice data problem.
Spline model.
Standard regression tools.